EPFL ALiBi and training provenance 151-200 of 1184
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
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.gitattributes
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epfl_final/wandb/run-20260430_154427-zytgzzs7/run-zytgzzs7.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260430_154531-8xz0mg7d/run-8xz0mg7d.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260430_154759-yujhhjfq/run-yujhhjfq.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260430_154531-8xz0mg7d/run-8xz0mg7d.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260430_154759-yujhhjfq/run-yujhhjfq.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260505_213713-4i6l0dd0/run-4i6l0dd0.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260506_173734-nmzybrc7/run-nmzybrc7.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260506_200450-z06f2580/run-z06f2580.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260509_201725-v6634orv/run-v6634orv.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260511_155411-fii64tue/run-fii64tue.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260511_201933-jzi5hfrk/run-jzi5hfrk.wandb filter=lfs diff=lfs merge=lfs -text
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epfl_final/wandb/run-20260430_154759-yujhhjfq/files/config.yaml
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| 1 |
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value:
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cli_version: 0.26.1
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e:
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wlkifov2nkv7u22tti0lvhg8pz6y8y20:
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| 6 |
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codePath: SparseAtt/train.py
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| 7 |
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codePathLocal: SparseAtt/train.py
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| 8 |
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cpu_count: 96
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| 9 |
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cpu_count_logical: 192
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cudaVersion: "13.0"
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disk:
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/:
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total: "9374931091456"
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| 14 |
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used: "6049983488000"
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| 15 |
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email: ruben.navasardyan@mail.utoronto.ca
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| 16 |
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executable: /usr/bin/python3
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| 17 |
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gpu: NVIDIA H100 80GB HBM3
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| 18 |
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gpu_count: 1
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| 19 |
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gpu_nvidia:
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- architecture: Hopper
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| 21 |
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cudaCores: 16896
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| 22 |
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memoryTotal: "85520809984"
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name: NVIDIA H100 80GB HBM3
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| 24 |
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uuid: GPU-410cba62-f098-3454-c960-ebc55bd081af
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host: h100-workspace-7-0-1
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memory:
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total: "1623005847552"
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| 28 |
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os: Linux-6.8.0-59-generic-x86_64-with-glibc2.35
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| 29 |
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program: /mloscratch/homes/navasard/sparse/SparseAtt/train.py
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| 30 |
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python: CPython 3.10.12
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| 31 |
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root: /mloscratch/homes/navasard/sparse
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| 32 |
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startedAt: "2026-04-30T15:47:59.246695Z"
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writerId: wlkifov2nkv7u22tti0lvhg8pz6y8y20
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m: []
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python_version: 3.10.12
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t:
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"1":
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- 1
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"4": 3.10.12
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"5": 0.26.1
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"12": 0.26.1
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"13": linux-x86_64
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| 55 |
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attention_type:
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value: sparse_stochastic
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| 57 |
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checkpoint_activations:
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value: false
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| 59 |
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eval_batches:
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value: 500
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| 61 |
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eval_steps:
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value: 250
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| 63 |
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gradient_accumulation_steps:
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value: 8
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init_from_scratch:
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value: true
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| 67 |
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learning_rate:
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value: 0.0005
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| 69 |
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logging_steps:
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value: 10
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lr_scheduler:
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value: cosine
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max_grad_norm:
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value: 1
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max_seq_length:
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value: 3840
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max_steps:
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value: 10005
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mixed_precision:
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value: bf16
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model_dtype:
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value: bfloat16
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model_path:
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value: /mloscratch/homes/navasard/qwen3_06b_base
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num_epochs:
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value: 1
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| 87 |
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num_workers:
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value: 8
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| 89 |
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output_dir:
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value: ./checkpoints/run_20260430_154756
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| 91 |
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per_device_batch_size:
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value: 8
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resume_from_checkpoint:
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value: null
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save_steps:
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value: 2500
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| 97 |
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seed:
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value: 42
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| 99 |
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sparse_block_size:
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value: 128
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| 101 |
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sparse_layer_indices:
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value:
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- 4
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- 5
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- 6
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- 7
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sparse_mask_pool_size:
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value: 1000
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sparse_num_random_blocks:
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value: 9
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| 131 |
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sparse_val_dense_compare:
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| 132 |
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value: true
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| 133 |
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strategy:
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| 134 |
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value: ddp
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| 135 |
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train_path:
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| 136 |
+
value: /mloscratch/homes/navasard/data/slimpajama_packed_train/tokenized
|
| 137 |
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val_path:
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| 138 |
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value: /mloscratch/homes/navasard/data/slimpajama_packed_val/tokenized
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| 139 |
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verbose:
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| 140 |
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value: true
|
| 141 |
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wandb_enabled:
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| 142 |
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value: true
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| 143 |
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wandb_name:
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| 144 |
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value: null
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| 145 |
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wandb_project:
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| 146 |
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value: stochastic_sparsity
|
| 147 |
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wandb_tags:
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| 148 |
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value:
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| 149 |
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- qwen3
|
| 150 |
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- 0.6b
|
| 151 |
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warmup_steps:
|
| 152 |
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value: 100
|
| 153 |
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weight_decay:
|
| 154 |
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value: 0.01
|
epfl_final/wandb/run-20260505_213713-4i6l0dd0/files/output.log
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|
| 1 |
+
|
| 2 |
+
|
| 3 |
+
================================================================================
|
| 4 |
+
MODEL ARCHITECTURE
|
| 5 |
+
================================================================================
|
| 6 |
+
Model config:
|
| 7 |
+
vocab_size: 151936
|
| 8 |
+
hidden_size: 1024
|
| 9 |
+
num_hidden_layers: 28
|
| 10 |
+
num_attention_heads: 16
|
| 11 |
+
num_key_value_heads: 8
|
| 12 |
+
head_dim: 128
|
| 13 |
+
intermediate_size: 3072
|
| 14 |
+
max_position_embeddings: 32768
|
| 15 |
+
rope_theta: 1000000
|
| 16 |
+
attention_type: dense
|
| 17 |
+
|
| 18 |
+
Parameter count:
|
| 19 |
+
Total parameters: 596,049,920
|
| 20 |
+
Trainable parameters: 596,049,920
|
| 21 |
+
Non-trainable parameters: 0
|
| 22 |
+
Model size (BF16): 1.19 GB
|
| 23 |
+
|
| 24 |
+
--------------------------------------------------------------------------------
|
| 25 |
+
LAYER-BY-LAYER SUMMARY
|
| 26 |
+
--------------------------------------------------------------------------------
|
| 27 |
+
===========================================================================================================================================================
|
| 28 |
+
Layer (type:depth-idx) Input Shape Output Shape Param # Trainable
|
| 29 |
+
===========================================================================================================================================================
|
| 30 |
+
Qwen3ForCausalLM [3, 8192] -- -- True
|
| 31 |
+
├─Qwen3Model: 1-1 -- [3, 8192, 1024] -- True
|
| 32 |
+
│ └─Embedding: 2-1 [3, 8192] [3, 8192, 1024] 155,582,464 True
|
| 33 |
+
│ └─ModuleList: 2-2 -- -- -- True
|
| 34 |
+
│ │ └─Qwen3DecoderLayer: 3-1 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 35 |
+
│ │ └─Qwen3DecoderLayer: 3-2 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 36 |
+
│ │ └─Qwen3DecoderLayer: 3-3 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 37 |
+
│ │ └─Qwen3DecoderLayer: 3-4 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 38 |
+
│ │ └─Qwen3DecoderLayer: 3-5 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 39 |
+
│ │ └─Qwen3DecoderLayer: 3-6 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 40 |
+
│ │ └─Qwen3DecoderLayer: 3-7 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 41 |
+
│ │ └─Qwen3DecoderLayer: 3-8 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 42 |
+
│ │ └─Qwen3DecoderLayer: 3-9 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 43 |
+
│ │ └─Qwen3DecoderLayer: 3-10 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 44 |
+
│ │ └─Qwen3DecoderLayer: 3-11 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 45 |
+
│ │ └─Qwen3DecoderLayer: 3-12 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 46 |
+
│ │ └─Qwen3DecoderLayer: 3-13 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 47 |
+
│ │ └─Qwen3DecoderLayer: 3-14 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 48 |
+
│ │ └─Qwen3DecoderLayer: 3-15 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 49 |
+
│ │ └─Qwen3DecoderLayer: 3-16 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 50 |
+
│ │ └─Qwen3DecoderLayer: 3-17 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 51 |
+
│ │ └─Qwen3DecoderLayer: 3-18 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 52 |
+
│ │ └─Qwen3DecoderLayer: 3-19 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 53 |
+
│ │ └─Qwen3DecoderLayer: 3-20 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 54 |
+
│ │ └─Qwen3DecoderLayer: 3-21 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 55 |
+
│ │ └─Qwen3DecoderLayer: 3-22 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 56 |
+
│ │ └��Qwen3DecoderLayer: 3-23 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 57 |
+
│ │ └─Qwen3DecoderLayer: 3-24 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 58 |
+
│ │ └─Qwen3DecoderLayer: 3-25 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 59 |
+
│ │ └─Qwen3DecoderLayer: 3-26 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 60 |
+
│ │ └─Qwen3DecoderLayer: 3-27 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 61 |
+
│ │ └─Qwen3DecoderLayer: 3-28 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 62 |
+
│ └─Qwen3RMSNorm: 2-3 [3, 8192, 1024] [3, 8192, 1024] 1,024 True
|
| 63 |
+
├─Linear: 1-2 [3, 8192, 1024] [3, 8192, 151936] 155,582,464 True
|
| 64 |
+
===========================================================================================================================================================
|
| 65 |
+
Total params: 751,632,384
|
| 66 |
+
Trainable params: 751,632,384
|
| 67 |
+
Non-trainable params: 0
|
| 68 |
+
Total mult-adds (G): 2.25
|
| 69 |
+
===========================================================================================================================================================
|
| 70 |
+
Input size (MB): 0.20
|
| 71 |
+
Forward/backward pass size (MB): 63052.97
|
| 72 |
+
Params size (MB): 1503.26
|
| 73 |
+
Estimated Total Size (MB): 64556.43
|
| 74 |
+
===========================================================================================================================================================
|
| 75 |
+
================================================================================
|
| 76 |
+
|
| 77 |
+
Loading dataset from /mloscratch/homes/navasard/data/the_pile_train/tokenized...
|
| 78 |
+
Using pre-tokenized dataset (no runtime tokenization)
|
| 79 |
+
Loading pre-tokenized HF dataset from /mloscratch/homes/navasard/data/the_pile_train/tokenized...
|
| 80 |
+
Loaded 5315146 pre-tokenized examples (stored_len=2048, pack_factor=4, packed_examples=1328786)
|
| 81 |
+
Dataset split: 1063028 train, 265758 validation
|
| 82 |
+
Training examples (packed, train split): 1063028
|
| 83 |
+
Validation examples (packed, val split): 265758
|
| 84 |
+
Per-device batch size: 3
|
| 85 |
+
World size (GPUs): 1
|
| 86 |
+
Gradient accumulation steps: 8
|
| 87 |
+
Effective batch size (seqs/step): 24
|
| 88 |
+
Sequence length: 8192
|
| 89 |
+
Tokens per optimizer step: 196,608
|
| 90 |
+
Micro-batches per epoch (per rank): 354342
|
| 91 |
+
Optimizer steps per epoch: 44292
|
| 92 |
+
Total optimizer steps: 20005 (capped by max_steps; 0.45 epochs)
|
| 93 |
+
Starting training...
|
| 94 |
+
Step 10/20005 | Loss: 12.1031 | LR: 2.00e-05 | 11142.3ms/step | 2.2 samples/s
|
| 95 |
+
Step 20/20005 | Loss: 11.5938 | LR: 4.00e-05 | 5762.4ms/step | 4.2 samples/s
|
| 96 |
+
Step 30/20005 | Loss: 10.7006 | LR: 6.00e-05 | 5759.6ms/step | 4.2 samples/s
|
| 97 |
+
Step 40/20005 | Loss: 10.2108 | LR: 8.00e-05 | 5755.6ms/step | 4.2 samples/s
|
| 98 |
+
Step 50/20005 | Loss: 9.3895 | LR: 1.00e-04 | 5833.5ms/step | 4.1 samples/s
|
| 99 |
+
Step 60/20005 | Loss: 8.6356 | LR: 1.20e-04 | 5746.8ms/step | 4.2 samples/s
|
| 100 |
+
Step 70/20005 | Loss: 8.0401 | LR: 1.40e-04 | 5755.9ms/step | 4.2 samples/s
|
| 101 |
+
Step 80/20005 | Loss: 7.6302 | LR: 1.60e-04 | 5760.2ms/step | 4.2 samples/s
|
| 102 |
+
Step 90/20005 | Loss: 7.6538 | LR: 1.80e-04 | 5762.4ms/step | 4.2 samples/s
|
| 103 |
+
Step 100/20005 | Loss: 7.3930 | LR: 2.00e-04 | 5773.9ms/step | 4.2 samples/s
|
| 104 |
+
Step 110/20005 | Loss: 7.2834 | LR: 2.20e-04 | 5779.4ms/step | 4.2 samples/s
|
| 105 |
+
Step 120/20005 | Loss: 7.1788 | LR: 2.40e-04 | 5781.2ms/step | 4.2 samples/s
|
| 106 |
+
Step 130/20005 | Loss: 6.9958 | LR: 2.60e-04 | 5784.0ms/step | 4.1 samples/s
|
| 107 |
+
Step 140/20005 | Loss: 6.8817 | LR: 2.80e-04 | 5791.5ms/step | 4.1 samples/s
|
| 108 |
+
Step 150/20005 | Loss: 6.7182 | LR: 3.00e-04 | 5795.4ms/step | 4.1 samples/s
|
| 109 |
+
Step 160/20005 | Loss: 6.6074 | LR: 3.20e-04 | 5795.4ms/step | 4.1 samples/s
|
| 110 |
+
Step 170/20005 | Loss: 6.5873 | LR: 3.40e-04 | 5794.9ms/step | 4.1 samples/s
|
| 111 |
+
Step 180/20005 | Loss: 6.4443 | LR: 3.60e-04 | 5795.9ms/step | 4.1 samples/s
|
| 112 |
+
Step 190/20005 | Loss: 6.2919 | LR: 3.80e-04 | 5796.7ms/step | 4.1 samples/s
|
| 113 |
+
Step 200/20005 | Loss: 6.3783 | LR: 4.00e-04 | 5801.0ms/step | 4.1 samples/s
|
| 114 |
+
Step 210/20005 | Loss: 6.1791 | LR: 4.20e-04 | 5798.4ms/step | 4.1 samples/s
|
| 115 |
+
Step 220/20005 | Loss: 6.1359 | LR: 4.40e-04 | 5802.1ms/step | 4.1 samples/s
|
| 116 |
+
Step 230/20005 | Loss: 6.0648 | LR: 4.60e-04 | 5800.1ms/step | 4.1 samples/s
|
| 117 |
+
Step 240/20005 | Loss: 6.0271 | LR: 4.80e-04 | 5798.7ms/step | 4.1 samples/s
|
| 118 |
+
Step 250/20005 | Loss: 5.9168 | LR: 5.00e-04 | 5804.5ms/step | 4.1 samples/s
|
| 119 |
+
Validation at step 250: Loss = 5.9538, Perplexity = 385.21
|
| 120 |
+
Step 260/20005 | Loss: 5.8859 | LR: 5.00e-04 | 42798.9ms/step | 0.6 samples/s
|
| 121 |
+
Step 270/20005 | Loss: 5.8554 | LR: 5.00e-04 | 5801.8ms/step | 4.1 samples/s
|
| 122 |
+
Step 280/20005 | Loss: 5.8664 | LR: 5.00e-04 | 5802.3ms/step | 4.1 samples/s
|
| 123 |
+
Step 290/20005 | Loss: 5.7446 | LR: 5.00e-04 | 5812.5ms/step | 4.1 samples/s
|
| 124 |
+
Step 300/20005 | Loss: 5.7423 | LR: 5.00e-04 | 5804.7ms/step | 4.1 samples/s
|
| 125 |
+
Step 310/20005 | Loss: 5.6704 | LR: 5.00e-04 | 5804.3ms/step | 4.1 samples/s
|
| 126 |
+
Step 320/20005 | Loss: 5.5512 | LR: 5.00e-04 | 5809.0ms/step | 4.1 samples/s
|
| 127 |
+
Step 330/20005 | Loss: 5.5059 | LR: 5.00e-04 | 5804.2ms/step | 4.1 samples/s
|
| 128 |
+
Step 340/20005 | Loss: 5.3304 | LR: 5.00e-04 | 5804.9ms/step | 4.1 samples/s
|
| 129 |
+
Step 350/20005 | Loss: 5.3472 | LR: 5.00e-04 | 5811.4ms/step | 4.1 samples/s
|
| 130 |
+
Step 360/20005 | Loss: 5.4208 | LR: 5.00e-04 | 5806.3ms/step | 4.1 samples/s
|
| 131 |
+
Step 370/20005 | Loss: 5.1753 | LR: 5.00e-04 | 5805.3ms/step | 4.1 samples/s
|
| 132 |
+
Step 380/20005 | Loss: 5.2463 | LR: 5.00e-04 | 5810.9ms/step | 4.1 samples/s
|
| 133 |
+
Step 390/20005 | Loss: 5.2254 | LR: 5.00e-04 | 5806.4ms/step | 4.1 samples/s
|
| 134 |
+
Step 400/20005 | Loss: 5.1079 | LR: 5.00e-04 | 5808.4ms/step | 4.1 samples/s
|
| 135 |
+
Step 410/20005 | Loss: 5.1257 | LR: 5.00e-04 | 5806.7ms/step | 4.1 samples/s
|
| 136 |
+
Step 420/20005 | Loss: 4.9416 | LR: 5.00e-04 | 5807.1ms/step | 4.1 samples/s
|
| 137 |
+
Step 430/20005 | Loss: 5.0110 | LR: 5.00e-04 | 5807.5ms/step | 4.1 samples/s
|
| 138 |
+
Step 440/20005 | Loss: 4.8328 | LR: 5.00e-04 | 5805.8ms/step | 4.1 samples/s
|
| 139 |
+
Step 450/20005 | Loss: 4.8581 | LR: 5.00e-04 | 5808.4ms/step | 4.1 samples/s
|
| 140 |
+
Step 460/20005 | Loss: 4.8352 | LR: 5.00e-04 | 5810.2ms/step | 4.1 samples/s
|
| 141 |
+
Step 470/20005 | Loss: 4.7408 | LR: 5.00e-04 | 5812.1ms/step | 4.1 samples/s
|
| 142 |
+
Step 480/20005 | Loss: 4.6448 | LR: 5.00e-04 | 5895.1ms/step | 4.1 samples/s
|
| 143 |
+
Step 490/20005 | Loss: 4.6115 | LR: 5.00e-04 | 5810.4ms/step | 4.1 samples/s
|
| 144 |
+
Step 500/20005 | Loss: 4.4683 | LR: 5.00e-04 | 5814.6ms/step | 4.1 samples/s
|
| 145 |
+
Validation at step 500: Loss = 4.5455, Perplexity = 94.20
|
| 146 |
+
Step 510/20005 | Loss: 4.6236 | LR: 5.00e-04 | 41002.8ms/step | 0.6 samples/s
|
| 147 |
+
Step 520/20005 | Loss: 4.5253 | LR: 5.00e-04 | 5809.2ms/step | 4.1 samples/s
|
| 148 |
+
Step 530/20005 | Loss: 4.4373 | LR: 5.00e-04 | 5809.7ms/step | 4.1 samples/s
|
| 149 |
+
Step 540/20005 | Loss: 4.4541 | LR: 5.00e-04 | 5809.8ms/step | 4.1 samples/s
|
| 150 |
+
Step 550/20005 | Loss: 4.3815 | LR: 5.00e-04 | 5810.9ms/step | 4.1 samples/s
|
| 151 |
+
Step 560/20005 | Loss: 4.3735 | LR: 5.00e-04 | 5808.3ms/step | 4.1 samples/s
|
| 152 |
+
Step 570/20005 | Loss: 4.2842 | LR: 5.00e-04 | 5809.5ms/step | 4.1 samples/s
|
| 153 |
+
Step 580/20005 | Loss: 4.2415 | LR: 5.00e-04 | 5807.3ms/step | 4.1 samples/s
|
| 154 |
+
Step 590/20005 | Loss: 4.2345 | LR: 5.00e-04 | 5806.0ms/step | 4.1 samples/s
|
| 155 |
+
Step 600/20005 | Loss: 4.1789 | LR: 5.00e-04 | 5811.5ms/step | 4.1 samples/s
|
| 156 |
+
Step 610/20005 | Loss: 4.1109 | LR: 5.00e-04 | 5811.9ms/step | 4.1 samples/s
|
| 157 |
+
Step 620/20005 | Loss: 4.0885 | LR: 5.00e-04 | 5807.8ms/step | 4.1 samples/s
|
| 158 |
+
Step 630/20005 | Loss: 4.0650 | LR: 5.00e-04 | 5809.2ms/step | 4.1 samples/s
|
| 159 |
+
Step 640/20005 | Loss: 4.1462 | LR: 5.00e-04 | 5811.1ms/step | 4.1 samples/s
|
| 160 |
+
Step 650/20005 | Loss: 4.1200 | LR: 4.99e-04 | 5813.0ms/step | 4.1 samples/s
|
| 161 |
+
Step 660/20005 | Loss: 4.0761 | LR: 4.99e-04 | 5808.2ms/step | 4.1 samples/s
|
| 162 |
+
Step 670/20005 | Loss: 3.9784 | LR: 4.99e-04 | 5811.1ms/step | 4.1 samples/s
|
| 163 |
+
Step 680/20005 | Loss: 3.9679 | LR: 4.99e-04 | 5809.9ms/step | 4.1 samples/s
|
| 164 |
+
Step 690/20005 | Loss: 3.8426 | LR: 4.99e-04 | 5808.7ms/step | 4.1 samples/s
|
| 165 |
+
Step 700/20005 | Loss: 3.9139 | LR: 4.99e-04 | 5810.7ms/step | 4.1 samples/s
|
| 166 |
+
Step 710/20005 | Loss: 3.9618 | LR: 4.99e-04 | 5810.8ms/step | 4.1 samples/s
|
| 167 |
+
Step 720/20005 | Loss: 3.9317 | LR: 4.99e-04 | 5809.6ms/step | 4.1 samples/s
|
| 168 |
+
Step 730/20005 | Loss: 3.8755 | LR: 4.99e-04 | 5806.4ms/step | 4.1 samples/s
|
| 169 |
+
Step 740/20005 | Loss: 3.8398 | LR: 4.99e-04 | 5811.6ms/step | 4.1 samples/s
|
| 170 |
+
Step 750/20005 | Loss: 3.8248 | LR: 4.99e-04 | 5812.4ms/step | 4.1 samples/s
|
| 171 |
+
Validation at step 750: Loss = 3.8531, Perplexity = 47.14
|
| 172 |
+
Step 760/20005 | Loss: 3.8301 | LR: 4.99e-04 | 41011.9ms/step | 0.6 samples/s
|
| 173 |
+
Step 770/20005 | Loss: 3.8163 | LR: 4.99e-04 | 5811.6ms/step | 4.1 samples/s
|
| 174 |
+
Step 780/20005 | Loss: 3.8503 | LR: 4.99e-04 | 5814.1ms/step | 4.1 samples/s
|
| 175 |
+
Step 790/20005 | Loss: 3.7563 | LR: 4.99e-04 | 5811.4ms/step | 4.1 samples/s
|
| 176 |
+
Step 800/20005 | Loss: 3.7060 | LR: 4.99e-04 | 5808.4ms/step | 4.1 samples/s
|
| 177 |
+
Step 810/20005 | Loss: 3.7502 | LR: 4.99e-04 | 5809.3ms/step | 4.1 samples/s
|
| 178 |
+
Step 820/20005 | Loss: 3.7263 | LR: 4.99e-04 | 5811.2ms/step | 4.1 samples/s
|
| 179 |
+
Step 830/20005 | Loss: 3.7480 | LR: 4.99e-04 | 5811.2ms/step | 4.1 samples/s
|
| 180 |
+
Step 840/20005 | Loss: 3.7300 | LR: 4.99e-04 | 5812.0ms/step | 4.1 samples/s
|
| 181 |
+
Step 850/20005 | Loss: 3.7008 | LR: 4.99e-04 | 5810.6ms/step | 4.1 samples/s
|
| 182 |
+
Step 860/20005 | Loss: 3.7313 | LR: 4.99e-04 | 5809.4ms/step | 4.1 samples/s
|
| 183 |
+
Step 870/20005 | Loss: 3.6913 | LR: 4.99e-04 | 5812.1ms/step | 4.1 samples/s
|
| 184 |
+
Step 880/20005 | Loss: 3.6455 | LR: 4.99e-04 | 5812.5ms/step | 4.1 samples/s
|
| 185 |
+
Step 890/20005 | Loss: 3.5717 | LR: 4.99e-04 | 5810.7ms/step | 4.1 samples/s
|
| 186 |
+
Step 900/20005 | Loss: 3.6340 | LR: 4.99e-04 | 5809.6ms/step | 4.1 samples/s
|
| 187 |
+
Step 910/20005 | Loss: 3.6133 | LR: 4.99e-04 | 5809.2ms/step | 4.1 samples/s
|
| 188 |
+
Step 920/20005 | Loss: 3.5735 | LR: 4.99e-04 | 5814.5ms/step | 4.1 samples/s
|
| 189 |
+
Step 930/20005 | Loss: 3.5416 | LR: 4.99e-04 | 5812.5ms/step | 4.1 samples/s
|
| 190 |
+
Step 940/20005 | Loss: 3.6553 | LR: 4.98e-04 | 5817.0ms/step | 4.1 samples/s
|
| 191 |
+
Step 950/20005 | Loss: 3.5010 | LR: 4.98e-04 | 5853.4ms/step | 4.1 samples/s
|
| 192 |
+
Step 960/20005 | Loss: 3.5733 | LR: 4.98e-04 | 5814.6ms/step | 4.1 samples/s
|
| 193 |
+
Step 970/20005 | Loss: 3.4923 | LR: 4.98e-04 | 5811.7ms/step | 4.1 samples/s
|
| 194 |
+
Step 980/20005 | Loss: 3.5255 | LR: 4.98e-04 | 5813.2ms/step | 4.1 samples/s
|
| 195 |
+
Step 990/20005 | Loss: 3.5597 | LR: 4.98e-04 | 5811.9ms/step | 4.1 samples/s
|
| 196 |
+
Step 1000/20005 | Loss: 3.4905 | LR: 4.98e-04 | 5815.3ms/step | 4.1 samples/s
|
| 197 |
+
Validation at step 1000: Loss = 3.5304, Perplexity = 34.14
|
| 198 |
+
Step 1010/20005 | Loss: 3.5151 | LR: 4.98e-04 | 41015.6ms/step | 0.6 samples/s
|
| 199 |
+
Step 1020/20005 | Loss: 3.4903 | LR: 4.98e-04 | 5812.5ms/step | 4.1 samples/s
|
| 200 |
+
Step 1030/20005 | Loss: 3.5029 | LR: 4.98e-04 | 5812.6ms/step | 4.1 samples/s
|
| 201 |
+
Step 1040/20005 | Loss: 3.5418 | LR: 4.98e-04 | 5811.2ms/step | 4.1 samples/s
|
| 202 |
+
Step 1050/20005 | Loss: 3.3820 | LR: 4.98e-04 | 5811.0ms/step | 4.1 samples/s
|
| 203 |
+
Step 1060/20005 | Loss: 3.4867 | LR: 4.98e-04 | 5817.4ms/step | 4.1 samples/s
|
| 204 |
+
Step 1070/20005 | Loss: 3.4437 | LR: 4.98e-04 | 5814.5ms/step | 4.1 samples/s
|
| 205 |
+
Step 1080/20005 | Loss: 3.5662 | LR: 4.98e-04 | 5814.2ms/step | 4.1 samples/s
|
| 206 |
+
Step 1090/20005 | Loss: 3.4792 | LR: 4.98e-04 | 5813.3ms/step | 4.1 samples/s
|
| 207 |
+
Step 1100/20005 | Loss: 3.3973 | LR: 4.98e-04 | 5816.3ms/step | 4.1 samples/s
|
| 208 |
+
Step 1110/20005 | Loss: 3.4931 | LR: 4.98e-04 | 5818.0ms/step | 4.1 samples/s
|
| 209 |
+
Step 1120/20005 | Loss: 3.5327 | LR: 4.98e-04 | 5815.7ms/step | 4.1 samples/s
|
| 210 |
+
Step 1130/20005 | Loss: 3.4647 | LR: 4.98e-04 | 5817.0ms/step | 4.1 samples/s
|
| 211 |
+
Step 1140/20005 | Loss: 3.4436 | LR: 4.98e-04 | 5814.5ms/step | 4.1 samples/s
|
| 212 |
+
Step 1150/20005 | Loss: 3.4381 | LR: 4.97e-04 | 5819.8ms/step | 4.1 samples/s
|
| 213 |
+
Step 1160/20005 | Loss: 3.4283 | LR: 4.97e-04 | 5816.5ms/step | 4.1 samples/s
|
| 214 |
+
Step 1170/20005 | Loss: 3.4346 | LR: 4.97e-04 | 5816.3ms/step | 4.1 samples/s
|
| 215 |
+
Step 1180/20005 | Loss: 3.4342 | LR: 4.97e-04 | 5812.3ms/step | 4.1 samples/s
|
| 216 |
+
Step 1190/20005 | Loss: 3.4301 | LR: 4.97e-04 | 5817.1ms/step | 4.1 samples/s
|
| 217 |
+
Step 1200/20005 | Loss: 3.3507 | LR: 4.97e-04 | 5818.0ms/step | 4.1 samples/s
|
| 218 |
+
Step 1210/20005 | Loss: 3.2779 | LR: 4.97e-04 | 5810.1ms/step | 4.1 samples/s
|
| 219 |
+
Step 1220/20005 | Loss: 3.4393 | LR: 4.97e-04 | 5815.8ms/step | 4.1 samples/s
|
| 220 |
+
Step 1230/20005 | Loss: 3.3387 | LR: 4.97e-04 | 5814.9ms/step | 4.1 samples/s
|
| 221 |
+
Step 1240/20005 | Loss: 3.4264 | LR: 4.97e-04 | 5815.1ms/step | 4.1 samples/s
|
| 222 |
+
Step 1250/20005 | Loss: 3.2624 | LR: 4.97e-04 | 5814.9ms/step | 4.1 samples/s
|
| 223 |
+
Validation at step 1250: Loss = 3.3519, Perplexity = 28.56
|
| 224 |
+
Step 1260/20005 | Loss: 3.3179 | LR: 4.97e-04 | 41016.2ms/step | 0.6 samples/s
|
| 225 |
+
Step 1270/20005 | Loss: 3.3501 | LR: 4.97e-04 | 5815.5ms/step | 4.1 samples/s
|
| 226 |
+
Step 1280/20005 | Loss: 3.2788 | LR: 4.97e-04 | 5815.0ms/step | 4.1 samples/s
|
| 227 |
+
Step 1290/20005 | Loss: 3.3351 | LR: 4.97e-04 | 5813.6ms/step | 4.1 samples/s
|
| 228 |
+
Step 1300/20005 | Loss: 3.2674 | LR: 4.97e-04 | 5811.5ms/step | 4.1 samples/s
|
| 229 |
+
Step 1310/20005 | Loss: 3.2681 | LR: 4.96e-04 | 5809.9ms/step | 4.1 samples/s
|
| 230 |
+
Step 1320/20005 | Loss: 3.2306 | LR: 4.96e-04 | 5813.6ms/step | 4.1 samples/s
|
| 231 |
+
Step 1330/20005 | Loss: 3.3539 | LR: 4.96e-04 | 5815.9ms/step | 4.1 samples/s
|
| 232 |
+
Step 1340/20005 | Loss: 3.3054 | LR: 4.96e-04 | 5813.6ms/step | 4.1 samples/s
|
| 233 |
+
Step 1350/20005 | Loss: 3.2983 | LR: 4.96e-04 | 5810.8ms/step | 4.1 samples/s
|
| 234 |
+
Step 1360/20005 | Loss: 3.2526 | LR: 4.96e-04 | 5810.6ms/step | 4.1 samples/s
|
| 235 |
+
Step 1370/20005 | Loss: 3.2730 | LR: 4.96e-04 | 5812.6ms/step | 4.1 samples/s
|
| 236 |
+
Step 1380/20005 | Loss: 3.2460 | LR: 4.96e-04 | 5811.8ms/step | 4.1 samples/s
|
| 237 |
+
Step 1390/20005 | Loss: 3.2202 | LR: 4.96e-04 | 5813.2ms/step | 4.1 samples/s
|
| 238 |
+
Step 1400/20005 | Loss: 3.2724 | LR: 4.96e-04 | 5810.7ms/step | 4.1 samples/s
|
| 239 |
+
Step 1410/20005 | Loss: 3.2776 | LR: 4.96e-04 | 5810.2ms/step | 4.1 samples/s
|
| 240 |
+
Step 1420/20005 | Loss: 3.2775 | LR: 4.96e-04 | 5850.5ms/step | 4.1 samples/s
|
| 241 |
+
Step 1430/20005 | Loss: 3.2651 | LR: 4.96e-04 | 5811.9ms/step | 4.1 samples/s
|
| 242 |
+
Step 1440/20005 | Loss: 3.2635 | LR: 4.96e-04 | 5810.5ms/step | 4.1 samples/s
|
| 243 |
+
Step 1450/20005 | Loss: 3.3174 | LR: 4.95e-04 | 5813.9ms/step | 4.1 samples/s
|
| 244 |
+
Step 1460/20005 | Loss: 3.2486 | LR: 4.95e-04 | 5811.5ms/step | 4.1 samples/s
|
| 245 |
+
Step 1470/20005 | Loss: 3.2349 | LR: 4.95e-04 | 5812.7ms/step | 4.1 samples/s
|
| 246 |
+
Step 1480/20005 | Loss: 3.2286 | LR: 4.95e-04 | 5812.2ms/step | 4.1 samples/s
|
| 247 |
+
Step 1490/20005 | Loss: 3.2052 | LR: 4.95e-04 | 5812.6ms/step | 4.1 samples/s
|
| 248 |
+
Step 1500/20005 | Loss: 3.2613 | LR: 4.95e-04 | 5809.3ms/step | 4.1 samples/s
|
| 249 |
+
Validation at step 1500: Loss = 3.2403, Perplexity = 25.54
|
| 250 |
+
Step 1510/20005 | Loss: 3.1793 | LR: 4.95e-04 | 41013.4ms/step | 0.6 samples/s
|
| 251 |
+
Step 1520/20005 | Loss: 3.2195 | LR: 4.95e-04 | 5809.3ms/step | 4.1 samples/s
|
| 252 |
+
Step 1530/20005 | Loss: 3.2168 | LR: 4.95e-04 | 5812.3ms/step | 4.1 samples/s
|
| 253 |
+
Step 1540/20005 | Loss: 3.1593 | LR: 4.95e-04 | 5812.5ms/step | 4.1 samples/s
|
| 254 |
+
Step 1550/20005 | Loss: 3.2935 | LR: 4.95e-04 | 5811.9ms/step | 4.1 samples/s
|
| 255 |
+
Step 1560/20005 | Loss: 3.2095 | LR: 4.95e-04 | 5810.0ms/step | 4.1 samples/s
|
| 256 |
+
Step 1570/20005 | Loss: 3.2053 | LR: 4.95e-04 | 5810.8ms/step | 4.1 samples/s
|
| 257 |
+
Step 1580/20005 | Loss: 3.2232 | LR: 4.94e-04 | 5809.2ms/step | 4.1 samples/s
|
| 258 |
+
Step 1590/20005 | Loss: 3.1531 | LR: 4.94e-04 | 5807.2ms/step | 4.1 samples/s
|
| 259 |
+
Step 1600/20005 | Loss: 3.2274 | LR: 4.94e-04 | 5807.0ms/step | 4.1 samples/s
|
| 260 |
+
Step 1610/20005 | Loss: 3.1333 | LR: 4.94e-04 | 5811.1ms/step | 4.1 samples/s
|
| 261 |
+
Step 1620/20005 | Loss: 3.1941 | LR: 4.94e-04 | 5814.2ms/step | 4.1 samples/s
|
| 262 |
+
Step 1630/20005 | Loss: 3.1469 | LR: 4.94e-04 | 5810.6ms/step | 4.1 samples/s
|
| 263 |
+
Step 1640/20005 | Loss: 3.2688 | LR: 4.94e-04 | 5811.7ms/step | 4.1 samples/s
|
| 264 |
+
Step 1650/20005 | Loss: 3.2282 | LR: 4.94e-04 | 5812.1ms/step | 4.1 samples/s
|
| 265 |
+
Step 1660/20005 | Loss: 3.1980 | LR: 4.94e-04 | 5809.6ms/step | 4.1 samples/s
|
| 266 |
+
Step 1670/20005 | Loss: 3.0894 | LR: 4.94e-04 | 5812.7ms/step | 4.1 samples/s
|
| 267 |
+
Step 1680/20005 | Loss: 3.2300 | LR: 4.94e-04 | 5809.7ms/step | 4.1 samples/s
|
| 268 |
+
Step 1690/20005 | Loss: 3.0874 | LR: 4.93e-04 | 5809.4ms/step | 4.1 samples/s
|
| 269 |
+
Step 1700/20005 | Loss: 3.1658 | LR: 4.93e-04 | 5812.6ms/step | 4.1 samples/s
|
| 270 |
+
Step 1710/20005 | Loss: 3.0258 | LR: 4.93e-04 | 5813.4ms/step | 4.1 samples/s
|
| 271 |
+
Step 1720/20005 | Loss: 3.1192 | LR: 4.93e-04 | 5808.8ms/step | 4.1 samples/s
|
| 272 |
+
Step 1730/20005 | Loss: 3.1511 | LR: 4.93e-04 | 5813.5ms/step | 4.1 samples/s
|
| 273 |
+
Step 1740/20005 | Loss: 3.1087 | LR: 4.93e-04 | 5809.8ms/step | 4.1 samples/s
|
| 274 |
+
Step 1750/20005 | Loss: 3.1846 | LR: 4.93e-04 | 5811.9ms/step | 4.1 samples/s
|
| 275 |
+
Validation at step 1750: Loss = 3.1317, Perplexity = 22.91
|
| 276 |
+
Step 1760/20005 | Loss: 3.1319 | LR: 4.93e-04 | 41012.5ms/step | 0.6 samples/s
|
| 277 |
+
Step 1770/20005 | Loss: 3.1531 | LR: 4.93e-04 | 5811.7ms/step | 4.1 samples/s
|
| 278 |
+
Step 1780/20005 | Loss: 3.1205 | LR: 4.93e-04 | 5807.7ms/step | 4.1 samples/s
|
| 279 |
+
Step 1790/20005 | Loss: 3.0976 | LR: 4.93e-04 | 5808.5ms/step | 4.1 samples/s
|
| 280 |
+
Step 1800/20005 | Loss: 3.0564 | LR: 4.92e-04 | 5813.9ms/step | 4.1 samples/s
|
| 281 |
+
Step 1810/20005 | Loss: 3.2074 | LR: 4.92e-04 | 5807.3ms/step | 4.1 samples/s
|
| 282 |
+
Step 1820/20005 | Loss: 3.0795 | LR: 4.92e-04 | 5810.8ms/step | 4.1 samples/s
|
| 283 |
+
Step 1830/20005 | Loss: 3.1276 | LR: 4.92e-04 | 5808.1ms/step | 4.1 samples/s
|
| 284 |
+
Step 1840/20005 | Loss: 3.0406 | LR: 4.92e-04 | 5808.5ms/step | 4.1 samples/s
|
| 285 |
+
Step 1850/20005 | Loss: 3.0512 | LR: 4.92e-04 | 5809.4ms/step | 4.1 samples/s
|
| 286 |
+
Step 1860/20005 | Loss: 3.0493 | LR: 4.92e-04 | 5811.5ms/step | 4.1 samples/s
|
| 287 |
+
Step 1870/20005 | Loss: 3.0489 | LR: 4.92e-04 | 5811.9ms/step | 4.1 samples/s
|
| 288 |
+
Step 1880/20005 | Loss: 3.0611 | LR: 4.92e-04 | 5850.7ms/step | 4.1 samples/s
|
| 289 |
+
Step 1890/20005 | Loss: 3.0266 | LR: 4.92e-04 | 5812.1ms/step | 4.1 samples/s
|
| 290 |
+
Step 1900/20005 | Loss: 3.1198 | LR: 4.91e-04 | 5810.0ms/step | 4.1 samples/s
|
| 291 |
+
Step 1910/20005 | Loss: 3.0534 | LR: 4.91e-04 | 5808.8ms/step | 4.1 samples/s
|
| 292 |
+
Step 1920/20005 | Loss: 3.0460 | LR: 4.91e-04 | 5813.3ms/step | 4.1 samples/s
|
| 293 |
+
Step 1930/20005 | Loss: 3.1177 | LR: 4.91e-04 | 5813.9ms/step | 4.1 samples/s
|
| 294 |
+
Step 1940/20005 | Loss: 2.9266 | LR: 4.91e-04 | 5815.1ms/step | 4.1 samples/s
|
| 295 |
+
Step 1950/20005 | Loss: 3.1093 | LR: 4.91e-04 | 5816.1ms/step | 4.1 samples/s
|
| 296 |
+
Step 1960/20005 | Loss: 3.0315 | LR: 4.91e-04 | 5816.2ms/step | 4.1 samples/s
|
| 297 |
+
Step 1970/20005 | Loss: 3.0259 | LR: 4.91e-04 | 5811.9ms/step | 4.1 samples/s
|
| 298 |
+
Step 1980/20005 | Loss: 3.0024 | LR: 4.91e-04 | 5815.3ms/step | 4.1 samples/s
|
| 299 |
+
Step 1990/20005 | Loss: 3.0007 | LR: 4.90e-04 | 5813.6ms/step | 4.1 samples/s
|
| 300 |
+
Step 2000/20005 | Loss: 3.0923 | LR: 4.90e-04 | 5806.6ms/step | 4.1 samples/s
|
| 301 |
+
Validation at step 2000: Loss = 3.0505, Perplexity = 21.13
|
| 302 |
+
Saved checkpoint to checkpoints/run_20260505_213703/checkpoint-2000
|
| 303 |
+
Step 2010/20005 | Loss: 3.1051 | LR: 4.90e-04 | 41536.6ms/step | 0.6 samples/s
|
| 304 |
+
Step 2020/20005 | Loss: 3.0532 | LR: 4.90e-04 | 5808.2ms/step | 4.1 samples/s
|
| 305 |
+
Step 2030/20005 | Loss: 3.0733 | LR: 4.90e-04 | 5809.3ms/step | 4.1 samples/s
|
| 306 |
+
Step 2040/20005 | Loss: 3.0438 | LR: 4.90e-04 | 5811.1ms/step | 4.1 samples/s
|
| 307 |
+
Step 2050/20005 | Loss: 2.9897 | LR: 4.90e-04 | 5811.6ms/step | 4.1 samples/s
|
| 308 |
+
Step 2060/20005 | Loss: 3.0117 | LR: 4.90e-04 | 5810.2ms/step | 4.1 samples/s
|
| 309 |
+
Step 2070/20005 | Loss: 3.0327 | LR: 4.90e-04 | 5806.7ms/step | 4.1 samples/s
|
| 310 |
+
Step 2080/20005 | Loss: 3.0403 | LR: 4.89e-04 | 5808.7ms/step | 4.1 samples/s
|
| 311 |
+
Step 2090/20005 | Loss: 3.0105 | LR: 4.89e-04 | 5809.7ms/step | 4.1 samples/s
|
| 312 |
+
Step 2100/20005 | Loss: 2.9851 | LR: 4.89e-04 | 5810.8ms/step | 4.1 samples/s
|
| 313 |
+
Step 2110/20005 | Loss: 3.0197 | LR: 4.89e-04 | 5811.2ms/step | 4.1 samples/s
|
| 314 |
+
Step 2120/20005 | Loss: 3.0110 | LR: 4.89e-04 | 5809.9ms/step | 4.1 samples/s
|
| 315 |
+
Step 2130/20005 | Loss: 3.1198 | LR: 4.89e-04 | 5810.6ms/step | 4.1 samples/s
|
| 316 |
+
Step 2140/20005 | Loss: 2.9169 | LR: 4.89e-04 | 5812.6ms/step | 4.1 samples/s
|
| 317 |
+
Step 2150/20005 | Loss: 3.0773 | LR: 4.89e-04 | 5807.6ms/step | 4.1 samples/s
|
| 318 |
+
Step 2160/20005 | Loss: 3.0327 | LR: 4.89e-04 | 5810.0ms/step | 4.1 samples/s
|
| 319 |
+
Step 2170/20005 | Loss: 2.9799 | LR: 4.88e-04 | 5812.6ms/step | 4.1 samples/s
|
| 320 |
+
Step 2180/20005 | Loss: 2.9976 | LR: 4.88e-04 | 5811.7ms/step | 4.1 samples/s
|
| 321 |
+
Step 2190/20005 | Loss: 2.9744 | LR: 4.88e-04 | 5811.1ms/step | 4.1 samples/s
|
| 322 |
+
Step 2200/20005 | Loss: 2.9789 | LR: 4.88e-04 | 5811.2ms/step | 4.1 samples/s
|
| 323 |
+
Step 2210/20005 | Loss: 2.9896 | LR: 4.88e-04 | 5811.0ms/step | 4.1 samples/s
|
| 324 |
+
Step 2220/20005 | Loss: 2.9993 | LR: 4.88e-04 | 5807.6ms/step | 4.1 samples/s
|
| 325 |
+
Step 2230/20005 | Loss: 2.9487 | LR: 4.88e-04 | 5808.8ms/step | 4.1 samples/s
|
| 326 |
+
Step 2240/20005 | Loss: 2.9469 | LR: 4.88e-04 | 5808.0ms/step | 4.1 samples/s
|
| 327 |
+
Step 2250/20005 | Loss: 3.0251 | LR: 4.87e-04 | 5810.9ms/step | 4.1 samples/s
|
| 328 |
+
Validation at step 2250: Loss = 2.9884, Perplexity = 19.85
|
| 329 |
+
Step 2260/20005 | Loss: 2.9684 | LR: 4.87e-04 | 41016.1ms/step | 0.6 samples/s
|
| 330 |
+
Step 2270/20005 | Loss: 2.9679 | LR: 4.87e-04 | 5812.1ms/step | 4.1 samples/s
|
| 331 |
+
Step 2280/20005 | Loss: 3.0049 | LR: 4.87e-04 | 5806.3ms/step | 4.1 samples/s
|
| 332 |
+
Step 2290/20005 | Loss: 2.9259 | LR: 4.87e-04 | 5809.3ms/step | 4.1 samples/s
|
| 333 |
+
Step 2300/20005 | Loss: 2.9914 | LR: 4.87e-04 | 5812.6ms/step | 4.1 samples/s
|
| 334 |
+
Step 2310/20005 | Loss: 2.9534 | LR: 4.87e-04 | 5811.4ms/step | 4.1 samples/s
|
| 335 |
+
Step 2320/20005 | Loss: 2.8371 | LR: 4.87e-04 | 5812.3ms/step | 4.1 samples/s
|
| 336 |
+
Step 2330/20005 | Loss: 2.9542 | LR: 4.86e-04 | 5812.0ms/step | 4.1 samples/s
|
| 337 |
+
Step 2340/20005 | Loss: 2.9293 | LR: 4.86e-04 | 5815.9ms/step | 4.1 samples/s
|
| 338 |
+
Step 2350/20005 | Loss: 2.9422 | LR: 4.86e-04 | 5851.9ms/step | 4.1 samples/s
|
| 339 |
+
Step 2360/20005 | Loss: 2.9272 | LR: 4.86e-04 | 5810.0ms/step | 4.1 samples/s
|
| 340 |
+
Step 2370/20005 | Loss: 2.9814 | LR: 4.86e-04 | 5809.9ms/step | 4.1 samples/s
|
| 341 |
+
Step 2380/20005 | Loss: 2.9808 | LR: 4.86e-04 | 5814.8ms/step | 4.1 samples/s
|
| 342 |
+
Step 2390/20005 | Loss: 2.9888 | LR: 4.86e-04 | 5810.9ms/step | 4.1 samples/s
|
| 343 |
+
Step 2400/20005 | Loss: 3.0021 | LR: 4.86e-04 | 5811.6ms/step | 4.1 samples/s
|
| 344 |
+
Step 2410/20005 | Loss: 2.8874 | LR: 4.85e-04 | 5810.4ms/step | 4.1 samples/s
|
| 345 |
+
Step 2420/20005 | Loss: 2.9374 | LR: 4.85e-04 | 5812.3ms/step | 4.1 samples/s
|
| 346 |
+
Step 2430/20005 | Loss: 2.9527 | LR: 4.85e-04 | 5811.4ms/step | 4.1 samples/s
|
| 347 |
+
Step 2440/20005 | Loss: 3.0686 | LR: 4.85e-04 | 5808.7ms/step | 4.1 samples/s
|
| 348 |
+
Step 2450/20005 | Loss: 2.9517 | LR: 4.85e-04 | 5808.1ms/step | 4.1 samples/s
|
| 349 |
+
Step 2460/20005 | Loss: 2.8594 | LR: 4.85e-04 | 5812.2ms/step | 4.1 samples/s
|
| 350 |
+
Step 2470/20005 | Loss: 2.9005 | LR: 4.85e-04 | 5812.7ms/step | 4.1 samples/s
|
| 351 |
+
Step 2480/20005 | Loss: 2.9289 | LR: 4.84e-04 | 5810.1ms/step | 4.1 samples/s
|
| 352 |
+
Step 2490/20005 | Loss: 2.9550 | LR: 4.84e-04 | 5810.8ms/step | 4.1 samples/s
|
| 353 |
+
Step 2500/20005 | Loss: 2.9537 | LR: 4.84e-04 | 5813.4ms/step | 4.1 samples/s
|
| 354 |
+
Validation at step 2500: Loss = 2.9390, Perplexity = 18.90
|
| 355 |
+
Step 2510/20005 | Loss: 2.9456 | LR: 4.84e-04 | 41005.2ms/step | 0.6 samples/s
|
| 356 |
+
Step 2520/20005 | Loss: 2.8767 | LR: 4.84e-04 | 5811.5ms/step | 4.1 samples/s
|
| 357 |
+
Step 2530/20005 | Loss: 2.9016 | LR: 4.84e-04 | 5810.8ms/step | 4.1 samples/s
|
| 358 |
+
Step 2540/20005 | Loss: 2.9625 | LR: 4.84e-04 | 5813.0ms/step | 4.1 samples/s
|
| 359 |
+
Step 2550/20005 | Loss: 2.9278 | LR: 4.83e-04 | 5812.2ms/step | 4.1 samples/s
|
| 360 |
+
Step 2560/20005 | Loss: 2.9166 | LR: 4.83e-04 | 5814.2ms/step | 4.1 samples/s
|
| 361 |
+
Step 2570/20005 | Loss: 2.9357 | LR: 4.83e-04 | 5810.3ms/step | 4.1 samples/s
|
| 362 |
+
Step 2580/20005 | Loss: 2.8754 | LR: 4.83e-04 | 5811.7ms/step | 4.1 samples/s
|
| 363 |
+
Step 2590/20005 | Loss: 2.9905 | LR: 4.83e-04 | 5811.0ms/step | 4.1 samples/s
|
| 364 |
+
Step 2600/20005 | Loss: 2.8788 | LR: 4.83e-04 | 5813.9ms/step | 4.1 samples/s
|
| 365 |
+
Step 2610/20005 | Loss: 2.8794 | LR: 4.83e-04 | 5813.5ms/step | 4.1 samples/s
|
| 366 |
+
Step 2620/20005 | Loss: 2.9479 | LR: 4.82e-04 | 5813.5ms/step | 4.1 samples/s
|
| 367 |
+
Step 2630/20005 | Loss: 2.8816 | LR: 4.82e-04 | 5812.1ms/step | 4.1 samples/s
|
| 368 |
+
Step 2640/20005 | Loss: 2.8476 | LR: 4.82e-04 | 5809.6ms/step | 4.1 samples/s
|
| 369 |
+
Step 2650/20005 | Loss: 2.9432 | LR: 4.82e-04 | 5812.1ms/step | 4.1 samples/s
|
| 370 |
+
Step 2660/20005 | Loss: 2.9021 | LR: 4.82e-04 | 5811.8ms/step | 4.1 samples/s
|
| 371 |
+
Step 2670/20005 | Loss: 2.8588 | LR: 4.82e-04 | 5810.0ms/step | 4.1 samples/s
|
| 372 |
+
Step 2680/20005 | Loss: 2.8981 | LR: 4.82e-04 | 5808.5ms/step | 4.1 samples/s
|
| 373 |
+
Step 2690/20005 | Loss: 2.8678 | LR: 4.81e-04 | 5809.9ms/step | 4.1 samples/s
|
| 374 |
+
Step 2700/20005 | Loss: 2.8914 | LR: 4.81e-04 | 5814.9ms/step | 4.1 samples/s
|
| 375 |
+
Step 2710/20005 | Loss: 2.8227 | LR: 4.81e-04 | 5807.5ms/step | 4.1 samples/s
|
| 376 |
+
Step 2720/20005 | Loss: 2.9196 | LR: 4.81e-04 | 5811.1ms/step | 4.1 samples/s
|
| 377 |
+
Step 2730/20005 | Loss: 2.9920 | LR: 4.81e-04 | 5812.7ms/step | 4.1 samples/s
|
| 378 |
+
Step 2740/20005 | Loss: 2.8563 | LR: 4.81e-04 | 5813.5ms/step | 4.1 samples/s
|
| 379 |
+
Step 2750/20005 | Loss: 2.8787 | LR: 4.81e-04 | 5815.5ms/step | 4.1 samples/s
|
| 380 |
+
Validation at step 2750: Loss = 2.8935, Perplexity = 18.06
|
| 381 |
+
Step 2760/20005 | Loss: 2.8689 | LR: 4.80e-04 | 41009.7ms/step | 0.6 samples/s
|
| 382 |
+
Step 2770/20005 | Loss: 2.9807 | LR: 4.80e-04 | 5806.9ms/step | 4.1 samples/s
|
| 383 |
+
Step 2780/20005 | Loss: 2.8822 | LR: 4.80e-04 | 5808.1ms/step | 4.1 samples/s
|
| 384 |
+
Step 2790/20005 | Loss: 2.9279 | LR: 4.80e-04 | 5809.2ms/step | 4.1 samples/s
|
| 385 |
+
Step 2800/20005 | Loss: 2.8770 | LR: 4.80e-04 | 5812.1ms/step | 4.1 samples/s
|
| 386 |
+
Step 2810/20005 | Loss: 2.9119 | LR: 4.80e-04 | 5810.5ms/step | 4.1 samples/s
|
| 387 |
+
Step 2820/20005 | Loss: 2.9154 | LR: 4.79e-04 | 5848.9ms/step | 4.1 samples/s
|
| 388 |
+
Step 2830/20005 | Loss: 2.8084 | LR: 4.79e-04 | 5809.7ms/step | 4.1 samples/s
|
| 389 |
+
Step 2840/20005 | Loss: 2.8542 | LR: 4.79e-04 | 5813.8ms/step | 4.1 samples/s
|
| 390 |
+
Step 2850/20005 | Loss: 2.8210 | LR: 4.79e-04 | 5813.2ms/step | 4.1 samples/s
|
| 391 |
+
Step 2860/20005 | Loss: 2.7724 | LR: 4.79e-04 | 5810.5ms/step | 4.1 samples/s
|
| 392 |
+
Step 2870/20005 | Loss: 2.9941 | LR: 4.79e-04 | 5811.4ms/step | 4.1 samples/s
|
| 393 |
+
Step 2880/20005 | Loss: 2.8269 | LR: 4.78e-04 | 5814.1ms/step | 4.1 samples/s
|
| 394 |
+
Step 2890/20005 | Loss: 2.7923 | LR: 4.78e-04 | 5810.9ms/step | 4.1 samples/s
|
| 395 |
+
Step 2900/20005 | Loss: 2.8665 | LR: 4.78e-04 | 5813.9ms/step | 4.1 samples/s
|
| 396 |
+
Step 2910/20005 | Loss: 2.8135 | LR: 4.78e-04 | 5814.6ms/step | 4.1 samples/s
|
| 397 |
+
Step 2920/20005 | Loss: 2.8151 | LR: 4.78e-04 | 5811.0ms/step | 4.1 samples/s
|
| 398 |
+
Step 2930/20005 | Loss: 2.8713 | LR: 4.78e-04 | 5810.7ms/step | 4.1 samples/s
|
| 399 |
+
Step 2940/20005 | Loss: 2.8756 | LR: 4.77e-04 | 5809.7ms/step | 4.1 samples/s
|
| 400 |
+
Step 2950/20005 | Loss: 2.7846 | LR: 4.77e-04 | 5807.4ms/step | 4.1 samples/s
|
| 401 |
+
Step 2960/20005 | Loss: 2.8644 | LR: 4.77e-04 | 5814.4ms/step | 4.1 samples/s
|
| 402 |
+
Step 2970/20005 | Loss: 2.8643 | LR: 4.77e-04 | 5815.4ms/step | 4.1 samples/s
|
| 403 |
+
Step 2980/20005 | Loss: 2.8627 | LR: 4.77e-04 | 5809.6ms/step | 4.1 samples/s
|
| 404 |
+
Step 2990/20005 | Loss: 2.8380 | LR: 4.77e-04 | 5810.2ms/step | 4.1 samples/s
|
| 405 |
+
Step 3000/20005 | Loss: 2.7958 | LR: 4.76e-04 | 5809.1ms/step | 4.1 samples/s
|
| 406 |
+
Validation at step 3000: Loss = 2.8582, Perplexity = 17.43
|
| 407 |
+
Step 3010/20005 | Loss: 2.8251 | LR: 4.76e-04 | 41013.0ms/step | 0.6 samples/s
|
| 408 |
+
Step 3020/20005 | Loss: 2.8032 | LR: 4.76e-04 | 5812.7ms/step | 4.1 samples/s
|
| 409 |
+
Step 3030/20005 | Loss: 2.8149 | LR: 4.76e-04 | 5813.1ms/step | 4.1 samples/s
|
| 410 |
+
Step 3040/20005 | Loss: 2.8608 | LR: 4.76e-04 | 5812.5ms/step | 4.1 samples/s
|
| 411 |
+
Step 3050/20005 | Loss: 2.9347 | LR: 4.76e-04 | 5813.7ms/step | 4.1 samples/s
|
| 412 |
+
Step 3060/20005 | Loss: 2.7499 | LR: 4.75e-04 | 5808.6ms/step | 4.1 samples/s
|
| 413 |
+
Step 3070/20005 | Loss: 2.8834 | LR: 4.75e-04 | 5810.4ms/step | 4.1 samples/s
|
| 414 |
+
Step 3080/20005 | Loss: 2.7995 | LR: 4.75e-04 | 5810.8ms/step | 4.1 samples/s
|
| 415 |
+
Step 3090/20005 | Loss: 2.8934 | LR: 4.75e-04 | 5808.0ms/step | 4.1 samples/s
|
| 416 |
+
Step 3100/20005 | Loss: 2.8546 | LR: 4.75e-04 | 5811.2ms/step | 4.1 samples/s
|
| 417 |
+
Step 3110/20005 | Loss: 2.8050 | LR: 4.75e-04 | 5811.5ms/step | 4.1 samples/s
|
| 418 |
+
Step 3120/20005 | Loss: 2.8322 | LR: 4.74e-04 | 5813.5ms/step | 4.1 samples/s
|
| 419 |
+
Step 3130/20005 | Loss: 2.8530 | LR: 4.74e-04 | 5815.4ms/step | 4.1 samples/s
|
| 420 |
+
Step 3140/20005 | Loss: 2.8598 | LR: 4.74e-04 | 5813.1ms/step | 4.1 samples/s
|
| 421 |
+
Step 3150/20005 | Loss: 2.8326 | LR: 4.74e-04 | 5811.0ms/step | 4.1 samples/s
|
| 422 |
+
Step 3160/20005 | Loss: 2.9055 | LR: 4.74e-04 | 5810.0ms/step | 4.1 samples/s
|
| 423 |
+
Step 3170/20005 | Loss: 2.8030 | LR: 4.74e-04 | 5810.1ms/step | 4.1 samples/s
|
| 424 |
+
Step 3180/20005 | Loss: 2.7387 | LR: 4.73e-04 | 5812.2ms/step | 4.1 samples/s
|
| 425 |
+
Step 3190/20005 | Loss: 2.8134 | LR: 4.73e-04 | 5813.8ms/step | 4.1 samples/s
|
| 426 |
+
Step 3200/20005 | Loss: 2.8793 | LR: 4.73e-04 | 5806.4ms/step | 4.1 samples/s
|
| 427 |
+
Step 3210/20005 | Loss: 2.7051 | LR: 4.73e-04 | 5810.1ms/step | 4.1 samples/s
|
| 428 |
+
Step 3220/20005 | Loss: 2.8230 | LR: 4.73e-04 | 5811.8ms/step | 4.1 samples/s
|
| 429 |
+
Step 3230/20005 | Loss: 2.8299 | LR: 4.72e-04 | 5809.6ms/step | 4.1 samples/s
|
| 430 |
+
Step 3240/20005 | Loss: 2.7705 | LR: 4.72e-04 | 5811.2ms/step | 4.1 samples/s
|
| 431 |
+
Step 3250/20005 | Loss: 2.7539 | LR: 4.72e-04 | 5811.3ms/step | 4.1 samples/s
|
| 432 |
+
Validation at step 3250: Loss = 2.8184, Perplexity = 16.75
|
| 433 |
+
Step 3260/20005 | Loss: 2.7569 | LR: 4.72e-04 | 41014.4ms/step | 0.6 samples/s
|
| 434 |
+
Step 3270/20005 | Loss: 2.7931 | LR: 4.72e-04 | 5812.8ms/step | 4.1 samples/s
|
| 435 |
+
Step 3280/20005 | Loss: 2.7479 | LR: 4.72e-04 | 5808.8ms/step | 4.1 samples/s
|
| 436 |
+
Step 3290/20005 | Loss: 2.8138 | LR: 4.71e-04 | 5852.5ms/step | 4.1 samples/s
|
| 437 |
+
Step 3300/20005 | Loss: 2.8090 | LR: 4.71e-04 | 5811.7ms/step | 4.1 samples/s
|
| 438 |
+
Step 3310/20005 | Loss: 2.8093 | LR: 4.71e-04 | 5812.1ms/step | 4.1 samples/s
|
| 439 |
+
Step 3320/20005 | Loss: 2.7947 | LR: 4.71e-04 | 5811.3ms/step | 4.1 samples/s
|
| 440 |
+
Step 3330/20005 | Loss: 2.8460 | LR: 4.71e-04 | 5811.9ms/step | 4.1 samples/s
|
| 441 |
+
Step 3340/20005 | Loss: 2.8323 | LR: 4.70e-04 | 5811.2ms/step | 4.1 samples/s
|
| 442 |
+
Step 3350/20005 | Loss: 2.7699 | LR: 4.70e-04 | 5811.0ms/step | 4.1 samples/s
|
| 443 |
+
Step 3360/20005 | Loss: 2.7592 | LR: 4.70e-04 | 5809.3ms/step | 4.1 samples/s
|
| 444 |
+
Step 3370/20005 | Loss: 2.8019 | LR: 4.70e-04 | 5809.2ms/step | 4.1 samples/s
|
| 445 |
+
Step 3380/20005 | Loss: 2.7589 | LR: 4.70e-04 | 5807.5ms/step | 4.1 samples/s
|
| 446 |
+
Step 3390/20005 | Loss: 2.7989 | LR: 4.69e-04 | 5812.2ms/step | 4.1 samples/s
|
| 447 |
+
Step 3400/20005 | Loss: 2.7220 | LR: 4.69e-04 | 5812.0ms/step | 4.1 samples/s
|
| 448 |
+
Step 3410/20005 | Loss: 2.7442 | LR: 4.69e-04 | 5811.4ms/step | 4.1 samples/s
|
| 449 |
+
Step 3420/20005 | Loss: 2.7948 | LR: 4.69e-04 | 5810.2ms/step | 4.1 samples/s
|
| 450 |
+
Step 3430/20005 | Loss: 2.8496 | LR: 4.69e-04 | 5806.6ms/step | 4.1 samples/s
|
| 451 |
+
Step 3440/20005 | Loss: 2.7826 | LR: 4.69e-04 | 5812.1ms/step | 4.1 samples/s
|
| 452 |
+
Step 3450/20005 | Loss: 2.8063 | LR: 4.68e-04 | 5816.1ms/step | 4.1 samples/s
|
| 453 |
+
Step 3460/20005 | Loss: 2.8033 | LR: 4.68e-04 | 5810.6ms/step | 4.1 samples/s
|
| 454 |
+
Step 3470/20005 | Loss: 2.8292 | LR: 4.68e-04 | 5814.1ms/step | 4.1 samples/s
|
| 455 |
+
Step 3480/20005 | Loss: 2.7888 | LR: 4.68e-04 | 5813.4ms/step | 4.1 samples/s
|
| 456 |
+
Step 3490/20005 | Loss: 2.7871 | LR: 4.68e-04 | 5811.9ms/step | 4.1 samples/s
|
| 457 |
+
Step 3500/20005 | Loss: 2.6815 | LR: 4.67e-04 | 5811.8ms/step | 4.1 samples/s
|
| 458 |
+
Validation at step 3500: Loss = 2.7876, Perplexity = 16.24
|
| 459 |
+
Step 3510/20005 | Loss: 2.8247 | LR: 4.67e-04 | 41016.7ms/step | 0.6 samples/s
|
| 460 |
+
Step 3520/20005 | Loss: 2.7604 | LR: 4.67e-04 | 5814.3ms/step | 4.1 samples/s
|
| 461 |
+
Step 3530/20005 | Loss: 2.7122 | LR: 4.67e-04 | 5814.1ms/step | 4.1 samples/s
|
| 462 |
+
Step 3540/20005 | Loss: 2.8006 | LR: 4.67e-04 | 5813.3ms/step | 4.1 samples/s
|
| 463 |
+
Step 3550/20005 | Loss: 2.7926 | LR: 4.66e-04 | 5816.1ms/step | 4.1 samples/s
|
| 464 |
+
Step 3560/20005 | Loss: 2.7180 | LR: 4.66e-04 | 5814.9ms/step | 4.1 samples/s
|
| 465 |
+
Step 3570/20005 | Loss: 2.7342 | LR: 4.66e-04 | 5812.5ms/step | 4.1 samples/s
|
| 466 |
+
Step 3580/20005 | Loss: 2.6993 | LR: 4.66e-04 | 5814.6ms/step | 4.1 samples/s
|
| 467 |
+
Step 3590/20005 | Loss: 2.7827 | LR: 4.66e-04 | 5815.2ms/step | 4.1 samples/s
|
| 468 |
+
Step 3600/20005 | Loss: 2.8069 | LR: 4.65e-04 | 5811.5ms/step | 4.1 samples/s
|
| 469 |
+
Step 3610/20005 | Loss: 2.8327 | LR: 4.65e-04 | 5811.1ms/step | 4.1 samples/s
|
| 470 |
+
Step 3620/20005 | Loss: 2.7596 | LR: 4.65e-04 | 5813.9ms/step | 4.1 samples/s
|
| 471 |
+
Step 3630/20005 | Loss: 2.8664 | LR: 4.65e-04 | 5812.6ms/step | 4.1 samples/s
|
| 472 |
+
Step 3640/20005 | Loss: 2.7676 | LR: 4.65e-04 | 5814.5ms/step | 4.1 samples/s
|
| 473 |
+
Step 3650/20005 | Loss: 2.8229 | LR: 4.64e-04 | 5816.2ms/step | 4.1 samples/s
|
| 474 |
+
Step 3660/20005 | Loss: 2.7831 | LR: 4.64e-04 | 5814.0ms/step | 4.1 samples/s
|
| 475 |
+
Step 3670/20005 | Loss: 2.7453 | LR: 4.64e-04 | 5817.0ms/step | 4.1 samples/s
|
| 476 |
+
Step 3680/20005 | Loss: 2.7262 | LR: 4.64e-04 | 5815.7ms/step | 4.1 samples/s
|
| 477 |
+
Step 3690/20005 | Loss: 2.7442 | LR: 4.64e-04 | 5816.1ms/step | 4.1 samples/s
|
| 478 |
+
Step 3700/20005 | Loss: 2.8463 | LR: 4.63e-04 | 5814.2ms/step | 4.1 samples/s
|
| 479 |
+
Step 3710/20005 | Loss: 2.7687 | LR: 4.63e-04 | 5812.7ms/step | 4.1 samples/s
|
| 480 |
+
Step 3720/20005 | Loss: 2.7136 | LR: 4.63e-04 | 5811.2ms/step | 4.1 samples/s
|
| 481 |
+
Step 3730/20005 | Loss: 2.7107 | LR: 4.63e-04 | 5811.4ms/step | 4.1 samples/s
|
| 482 |
+
Step 3740/20005 | Loss: 2.8167 | LR: 4.62e-04 | 5809.5ms/step | 4.1 samples/s
|
| 483 |
+
Step 3750/20005 | Loss: 2.7129 | LR: 4.62e-04 | 5811.4ms/step | 4.1 samples/s
|
| 484 |
+
Validation at step 3750: Loss = 2.7602, Perplexity = 15.80
|
| 485 |
+
Step 3760/20005 | Loss: 2.7660 | LR: 4.62e-04 | 41052.6ms/step | 0.6 samples/s
|
| 486 |
+
Step 3770/20005 | Loss: 2.7921 | LR: 4.62e-04 | 5812.6ms/step | 4.1 samples/s
|
| 487 |
+
Step 3780/20005 | Loss: 2.7641 | LR: 4.62e-04 | 5810.6ms/step | 4.1 samples/s
|
| 488 |
+
Step 3790/20005 | Loss: 2.8571 | LR: 4.61e-04 | 5809.0ms/step | 4.1 samples/s
|
| 489 |
+
Step 3800/20005 | Loss: 2.6938 | LR: 4.61e-04 | 5812.3ms/step | 4.1 samples/s
|
| 490 |
+
Step 3810/20005 | Loss: 2.8074 | LR: 4.61e-04 | 5811.3ms/step | 4.1 samples/s
|
| 491 |
+
Step 3820/20005 | Loss: 2.6964 | LR: 4.61e-04 | 5814.2ms/step | 4.1 samples/s
|
| 492 |
+
Step 3830/20005 | Loss: 2.7067 | LR: 4.61e-04 | 5814.1ms/step | 4.1 samples/s
|
| 493 |
+
Step 3840/20005 | Loss: 2.7791 | LR: 4.60e-04 | 5810.5ms/step | 4.1 samples/s
|
| 494 |
+
Step 3850/20005 | Loss: 2.7951 | LR: 4.60e-04 | 5811.3ms/step | 4.1 samples/s
|
| 495 |
+
Step 3860/20005 | Loss: 2.7405 | LR: 4.60e-04 | 5811.6ms/step | 4.1 samples/s
|
| 496 |
+
Step 3870/20005 | Loss: 2.6990 | LR: 4.60e-04 | 5812.4ms/step | 4.1 samples/s
|
| 497 |
+
Step 3880/20005 | Loss: 2.8132 | LR: 4.59e-04 | 5808.5ms/step | 4.1 samples/s
|
| 498 |
+
Step 3890/20005 | Loss: 2.6765 | LR: 4.59e-04 | 5810.6ms/step | 4.1 samples/s
|
| 499 |
+
Step 3900/20005 | Loss: 2.7411 | LR: 4.59e-04 | 5811.3ms/step | 4.1 samples/s
|
| 500 |
+
Step 3910/20005 | Loss: 2.6058 | LR: 4.59e-04 | 5813.8ms/step | 4.1 samples/s
|
| 501 |
+
Step 3920/20005 | Loss: 2.6630 | LR: 4.59e-04 | 5808.9ms/step | 4.1 samples/s
|
| 502 |
+
Step 3930/20005 | Loss: 2.7304 | LR: 4.58e-04 | 5813.4ms/step | 4.1 samples/s
|
| 503 |
+
Step 3940/20005 | Loss: 2.7411 | LR: 4.58e-04 | 5812.3ms/step | 4.1 samples/s
|
| 504 |
+
Step 3950/20005 | Loss: 2.7543 | LR: 4.58e-04 | 5813.6ms/step | 4.1 samples/s
|
| 505 |
+
Step 3960/20005 | Loss: 2.7778 | LR: 4.58e-04 | 5814.2ms/step | 4.1 samples/s
|
| 506 |
+
Step 3970/20005 | Loss: 2.6364 | LR: 4.58e-04 | 5809.1ms/step | 4.1 samples/s
|
| 507 |
+
Step 3980/20005 | Loss: 2.6053 | LR: 4.57e-04 | 5814.2ms/step | 4.1 samples/s
|
| 508 |
+
Step 3990/20005 | Loss: 2.7217 | LR: 4.57e-04 | 5812.1ms/step | 4.1 samples/s
|
| 509 |
+
Step 4000/20005 | Loss: 2.7271 | LR: 4.57e-04 | 5811.6ms/step | 4.1 samples/s
|
| 510 |
+
Validation at step 4000: Loss = 2.7345, Perplexity = 15.40
|
| 511 |
+
Saved checkpoint to checkpoints/run_20260505_213703/checkpoint-4000
|
| 512 |
+
Step 4010/20005 | Loss: 2.7555 | LR: 4.57e-04 | 41507.3ms/step | 0.6 samples/s
|
| 513 |
+
Step 4020/20005 | Loss: 2.6734 | LR: 4.56e-04 | 5809.1ms/step | 4.1 samples/s
|
| 514 |
+
Step 4030/20005 | Loss: 2.7163 | LR: 4.56e-04 | 5810.2ms/step | 4.1 samples/s
|
| 515 |
+
Step 4040/20005 | Loss: 2.7805 | LR: 4.56e-04 | 5811.9ms/step | 4.1 samples/s
|
| 516 |
+
Step 4050/20005 | Loss: 2.7664 | LR: 4.56e-04 | 5813.9ms/step | 4.1 samples/s
|
| 517 |
+
Step 4060/20005 | Loss: 2.7627 | LR: 4.55e-04 | 5813.0ms/step | 4.1 samples/s
|
| 518 |
+
Step 4070/20005 | Loss: 2.7325 | LR: 4.55e-04 | 5811.6ms/step | 4.1 samples/s
|
| 519 |
+
Step 4080/20005 | Loss: 2.7629 | LR: 4.55e-04 | 5810.2ms/step | 4.1 samples/s
|
| 520 |
+
Step 4090/20005 | Loss: 2.6950 | LR: 4.55e-04 | 5811.0ms/step | 4.1 samples/s
|
| 521 |
+
Step 4100/20005 | Loss: 2.6856 | LR: 4.55e-04 | 5810.7ms/step | 4.1 samples/s
|
| 522 |
+
Step 4110/20005 | Loss: 2.6639 | LR: 4.54e-04 | 5811.4ms/step | 4.1 samples/s
|
| 523 |
+
Step 4120/20005 | Loss: 2.6826 | LR: 4.54e-04 | 5810.0ms/step | 4.1 samples/s
|
| 524 |
+
Step 4130/20005 | Loss: 2.6829 | LR: 4.54e-04 | 5811.1ms/step | 4.1 samples/s
|
| 525 |
+
Step 4140/20005 | Loss: 2.8031 | LR: 4.54e-04 | 5813.0ms/step | 4.1 samples/s
|
| 526 |
+
Step 4150/20005 | Loss: 2.7295 | LR: 4.53e-04 | 5812.2ms/step | 4.1 samples/s
|
| 527 |
+
Step 4160/20005 | Loss: 2.6696 | LR: 4.53e-04 | 5810.6ms/step | 4.1 samples/s
|
| 528 |
+
Step 4170/20005 | Loss: 2.7318 | LR: 4.53e-04 | 5808.6ms/step | 4.1 samples/s
|
| 529 |
+
Step 4180/20005 | Loss: 2.6314 | LR: 4.53e-04 | 5812.7ms/step | 4.1 samples/s
|
| 530 |
+
Step 4190/20005 | Loss: 2.7562 | LR: 4.53e-04 | 5813.4ms/step | 4.1 samples/s
|
| 531 |
+
Step 4200/20005 | Loss: 2.6794 | LR: 4.52e-04 | 5813.0ms/step | 4.1 samples/s
|
| 532 |
+
Step 4210/20005 | Loss: 2.7494 | LR: 4.52e-04 | 5808.0ms/step | 4.1 samples/s
|
| 533 |
+
Step 4220/20005 | Loss: 2.7343 | LR: 4.52e-04 | 5813.0ms/step | 4.1 samples/s
|
| 534 |
+
Step 4230/20005 | Loss: 2.6236 | LR: 4.52e-04 | 5849.9ms/step | 4.1 samples/s
|
| 535 |
+
Step 4240/20005 | Loss: 2.7105 | LR: 4.51e-04 | 5814.3ms/step | 4.1 samples/s
|
| 536 |
+
Step 4250/20005 | Loss: 2.7933 | LR: 4.51e-04 | 5813.6ms/step | 4.1 samples/s
|
| 537 |
+
Validation at step 4250: Loss = 2.7202, Perplexity = 15.18
|
| 538 |
+
Step 4260/20005 | Loss: 2.6575 | LR: 4.51e-04 | 41016.6ms/step | 0.6 samples/s
|
| 539 |
+
Step 4270/20005 | Loss: 2.7397 | LR: 4.51e-04 | 5814.2ms/step | 4.1 samples/s
|
| 540 |
+
Step 4280/20005 | Loss: 2.6631 | LR: 4.50e-04 | 5813.3ms/step | 4.1 samples/s
|
| 541 |
+
Step 4290/20005 | Loss: 2.7004 | LR: 4.50e-04 | 5813.0ms/step | 4.1 samples/s
|
| 542 |
+
Step 4300/20005 | Loss: 2.6326 | LR: 4.50e-04 | 5813.4ms/step | 4.1 samples/s
|
| 543 |
+
Step 4310/20005 | Loss: 2.7162 | LR: 4.50e-04 | 5808.9ms/step | 4.1 samples/s
|
| 544 |
+
Step 4320/20005 | Loss: 2.6519 | LR: 4.49e-04 | 5814.1ms/step | 4.1 samples/s
|
| 545 |
+
Step 4330/20005 | Loss: 2.6678 | LR: 4.49e-04 | 5814.6ms/step | 4.1 samples/s
|
| 546 |
+
Step 4340/20005 | Loss: 2.7463 | LR: 4.49e-04 | 5815.0ms/step | 4.1 samples/s
|
| 547 |
+
Step 4350/20005 | Loss: 2.6902 | LR: 4.49e-04 | 5813.8ms/step | 4.1 samples/s
|
| 548 |
+
Step 4360/20005 | Loss: 2.5958 | LR: 4.48e-04 | 5811.7ms/step | 4.1 samples/s
|
| 549 |
+
Step 4370/20005 | Loss: 2.7132 | LR: 4.48e-04 | 5816.5ms/step | 4.1 samples/s
|
| 550 |
+
Step 4380/20005 | Loss: 2.7344 | LR: 4.48e-04 | 5814.4ms/step | 4.1 samples/s
|
| 551 |
+
Step 4390/20005 | Loss: 2.7231 | LR: 4.48e-04 | 5815.6ms/step | 4.1 samples/s
|
| 552 |
+
Step 4400/20005 | Loss: 2.7515 | LR: 4.48e-04 | 5812.8ms/step | 4.1 samples/s
|
| 553 |
+
Step 4410/20005 | Loss: 2.6891 | LR: 4.47e-04 | 5813.4ms/step | 4.1 samples/s
|
| 554 |
+
Step 4420/20005 | Loss: 2.6536 | LR: 4.47e-04 | 5817.2ms/step | 4.1 samples/s
|
| 555 |
+
Step 4430/20005 | Loss: 2.7288 | LR: 4.47e-04 | 5816.9ms/step | 4.1 samples/s
|
| 556 |
+
Step 4440/20005 | Loss: 2.6529 | LR: 4.47e-04 | 5815.6ms/step | 4.1 samples/s
|
| 557 |
+
Step 4450/20005 | Loss: 2.6640 | LR: 4.46e-04 | 5817.7ms/step | 4.1 samples/s
|
| 558 |
+
Step 4460/20005 | Loss: 2.6356 | LR: 4.46e-04 | 5816.6ms/step | 4.1 samples/s
|
| 559 |
+
Step 4470/20005 | Loss: 2.7730 | LR: 4.46e-04 | 5819.1ms/step | 4.1 samples/s
|
| 560 |
+
Step 4480/20005 | Loss: 2.6717 | LR: 4.46e-04 | 5814.2ms/step | 4.1 samples/s
|
| 561 |
+
Step 4490/20005 | Loss: 2.7667 | LR: 4.45e-04 | 5815.7ms/step | 4.1 samples/s
|
| 562 |
+
Step 4500/20005 | Loss: 2.7165 | LR: 4.45e-04 | 5818.7ms/step | 4.1 samples/s
|
| 563 |
+
Validation at step 4500: Loss = 2.6988, Perplexity = 14.86
|
| 564 |
+
Step 4510/20005 | Loss: 2.6900 | LR: 4.45e-04 | 41019.2ms/step | 0.6 samples/s
|
| 565 |
+
Step 4520/20005 | Loss: 2.6917 | LR: 4.45e-04 | 5816.4ms/step | 4.1 samples/s
|
| 566 |
+
Step 4530/20005 | Loss: 2.7396 | LR: 4.44e-04 | 5819.9ms/step | 4.1 samples/s
|
| 567 |
+
Step 4540/20005 | Loss: 2.7525 | LR: 4.44e-04 | 5818.3ms/step | 4.1 samples/s
|
| 568 |
+
Step 4550/20005 | Loss: 2.7379 | LR: 4.44e-04 | 5811.0ms/step | 4.1 samples/s
|
| 569 |
+
Step 4560/20005 | Loss: 2.6798 | LR: 4.44e-04 | 5818.6ms/step | 4.1 samples/s
|
| 570 |
+
Step 4570/20005 | Loss: 2.7027 | LR: 4.43e-04 | 5815.8ms/step | 4.1 samples/s
|
| 571 |
+
Step 4580/20005 | Loss: 2.7053 | LR: 4.43e-04 | 5821.0ms/step | 4.1 samples/s
|
| 572 |
+
Step 4590/20005 | Loss: 2.6662 | LR: 4.43e-04 | 5814.0ms/step | 4.1 samples/s
|
| 573 |
+
Step 4600/20005 | Loss: 2.6223 | LR: 4.43e-04 | 5813.6ms/step | 4.1 samples/s
|
| 574 |
+
Step 4610/20005 | Loss: 2.6855 | LR: 4.42e-04 | 5815.7ms/step | 4.1 samples/s
|
| 575 |
+
Step 4620/20005 | Loss: 2.7027 | LR: 4.42e-04 | 5813.3ms/step | 4.1 samples/s
|
| 576 |
+
Step 4630/20005 | Loss: 2.6082 | LR: 4.42e-04 | 5814.4ms/step | 4.1 samples/s
|
| 577 |
+
Step 4640/20005 | Loss: 2.5936 | LR: 4.42e-04 | 5813.5ms/step | 4.1 samples/s
|
| 578 |
+
Step 4650/20005 | Loss: 2.7066 | LR: 4.41e-04 | 5815.6ms/step | 4.1 samples/s
|
| 579 |
+
Step 4660/20005 | Loss: 2.5791 | LR: 4.41e-04 | 5814.2ms/step | 4.1 samples/s
|
| 580 |
+
Step 4670/20005 | Loss: 2.7396 | LR: 4.41e-04 | 5813.3ms/step | 4.1 samples/s
|
| 581 |
+
Step 4680/20005 | Loss: 2.7135 | LR: 4.40e-04 | 5817.6ms/step | 4.1 samples/s
|
| 582 |
+
Step 4690/20005 | Loss: 2.6128 | LR: 4.40e-04 | 5814.2ms/step | 4.1 samples/s
|
| 583 |
+
Step 4700/20005 | Loss: 2.7533 | LR: 4.40e-04 | 5812.2ms/step | 4.1 samples/s
|
| 584 |
+
Step 4710/20005 | Loss: 2.6620 | LR: 4.40e-04 | 5859.2ms/step | 4.1 samples/s
|
| 585 |
+
Step 4720/20005 | Loss: 2.7244 | LR: 4.39e-04 | 5807.4ms/step | 4.1 samples/s
|
| 586 |
+
Step 4730/20005 | Loss: 2.6293 | LR: 4.39e-04 | 5813.4ms/step | 4.1 samples/s
|
| 587 |
+
Step 4740/20005 | Loss: 2.6827 | LR: 4.39e-04 | 5814.7ms/step | 4.1 samples/s
|
| 588 |
+
Step 4750/20005 | Loss: 2.6336 | LR: 4.39e-04 | 5809.6ms/step | 4.1 samples/s
|
| 589 |
+
Validation at step 4750: Loss = 2.6747, Perplexity = 14.51
|
| 590 |
+
Step 4760/20005 | Loss: 2.6474 | LR: 4.38e-04 | 41016.1ms/step | 0.6 samples/s
|
| 591 |
+
Step 4770/20005 | Loss: 2.6701 | LR: 4.38e-04 | 5816.5ms/step | 4.1 samples/s
|
| 592 |
+
Step 4780/20005 | Loss: 2.6674 | LR: 4.38e-04 | 5815.8ms/step | 4.1 samples/s
|
| 593 |
+
Step 4790/20005 | Loss: 2.6144 | LR: 4.38e-04 | 5814.3ms/step | 4.1 samples/s
|
| 594 |
+
Step 4800/20005 | Loss: 2.6652 | LR: 4.37e-04 | 5817.0ms/step | 4.1 samples/s
|
| 595 |
+
Step 4810/20005 | Loss: 2.6978 | LR: 4.37e-04 | 5814.9ms/step | 4.1 samples/s
|
| 596 |
+
Step 4820/20005 | Loss: 2.6463 | LR: 4.37e-04 | 5812.2ms/step | 4.1 samples/s
|
| 597 |
+
Step 4830/20005 | Loss: 2.6040 | LR: 4.37e-04 | 5811.6ms/step | 4.1 samples/s
|
| 598 |
+
Step 4840/20005 | Loss: 2.7247 | LR: 4.36e-04 | 5808.2ms/step | 4.1 samples/s
|
| 599 |
+
Step 4850/20005 | Loss: 2.7645 | LR: 4.36e-04 | 5810.2ms/step | 4.1 samples/s
|
| 600 |
+
Step 4860/20005 | Loss: 2.7207 | LR: 4.36e-04 | 5808.3ms/step | 4.1 samples/s
|
| 601 |
+
Step 4870/20005 | Loss: 2.6404 | LR: 4.36e-04 | 5811.9ms/step | 4.1 samples/s
|
| 602 |
+
Step 4880/20005 | Loss: 2.6303 | LR: 4.35e-04 | 5810.4ms/step | 4.1 samples/s
|
| 603 |
+
Step 4890/20005 | Loss: 2.6022 | LR: 4.35e-04 | 5809.7ms/step | 4.1 samples/s
|
| 604 |
+
Step 4900/20005 | Loss: 2.7073 | LR: 4.35e-04 | 5812.4ms/step | 4.1 samples/s
|
| 605 |
+
Step 4910/20005 | Loss: 2.7051 | LR: 4.34e-04 | 5813.6ms/step | 4.1 samples/s
|
| 606 |
+
Step 4920/20005 | Loss: 2.6350 | LR: 4.34e-04 | 5809.9ms/step | 4.1 samples/s
|
| 607 |
+
Step 4930/20005 | Loss: 2.6252 | LR: 4.34e-04 | 5808.5ms/step | 4.1 samples/s
|
| 608 |
+
Step 4940/20005 | Loss: 2.6657 | LR: 4.34e-04 | 5807.3ms/step | 4.1 samples/s
|
| 609 |
+
Step 4950/20005 | Loss: 2.6188 | LR: 4.33e-04 | 5813.4ms/step | 4.1 samples/s
|
| 610 |
+
Step 4960/20005 | Loss: 2.6007 | LR: 4.33e-04 | 5808.2ms/step | 4.1 samples/s
|
| 611 |
+
Step 4970/20005 | Loss: 2.6472 | LR: 4.33e-04 | 5812.3ms/step | 4.1 samples/s
|
| 612 |
+
Step 4980/20005 | Loss: 2.7392 | LR: 4.33e-04 | 5814.4ms/step | 4.1 samples/s
|
| 613 |
+
Step 4990/20005 | Loss: 2.7054 | LR: 4.32e-04 | 5812.3ms/step | 4.1 samples/s
|
| 614 |
+
Step 5000/20005 | Loss: 2.7248 | LR: 4.32e-04 | 5813.0ms/step | 4.1 samples/s
|
| 615 |
+
Validation at step 5000: Loss = 2.6573, Perplexity = 14.26
|
| 616 |
+
Step 5010/20005 | Loss: 2.5971 | LR: 4.32e-04 | 41013.6ms/step | 0.6 samples/s
|
| 617 |
+
Step 5020/20005 | Loss: 2.6208 | LR: 4.31e-04 | 5811.4ms/step | 4.1 samples/s
|
| 618 |
+
Step 5030/20005 | Loss: 2.5785 | LR: 4.31e-04 | 5810.9ms/step | 4.1 samples/s
|
| 619 |
+
Step 5040/20005 | Loss: 2.5314 | LR: 4.31e-04 | 5813.2ms/step | 4.1 samples/s
|
| 620 |
+
Step 5050/20005 | Loss: 2.6525 | LR: 4.31e-04 | 5813.6ms/step | 4.1 samples/s
|
| 621 |
+
Step 5060/20005 | Loss: 2.5788 | LR: 4.30e-04 | 5811.7ms/step | 4.1 samples/s
|
| 622 |
+
Step 5070/20005 | Loss: 2.5588 | LR: 4.30e-04 | 5824.7ms/step | 4.1 samples/s
|
| 623 |
+
Step 5080/20005 | Loss: 2.6807 | LR: 4.30e-04 | 5824.9ms/step | 4.1 samples/s
|
| 624 |
+
Step 5090/20005 | Loss: 2.6606 | LR: 4.30e-04 | 5815.9ms/step | 4.1 samples/s
|
| 625 |
+
Step 5100/20005 | Loss: 2.6776 | LR: 4.29e-04 | 5816.3ms/step | 4.1 samples/s
|
| 626 |
+
Step 5110/20005 | Loss: 2.7371 | LR: 4.29e-04 | 5817.9ms/step | 4.1 samples/s
|
| 627 |
+
Step 5120/20005 | Loss: 2.5616 | LR: 4.29e-04 | 5816.7ms/step | 4.1 samples/s
|
| 628 |
+
Step 5130/20005 | Loss: 2.6053 | LR: 4.28e-04 | 5817.7ms/step | 4.1 samples/s
|
| 629 |
+
Step 5140/20005 | Loss: 2.6342 | LR: 4.28e-04 | 5817.7ms/step | 4.1 samples/s
|
| 630 |
+
Step 5150/20005 | Loss: 2.6366 | LR: 4.28e-04 | 5821.4ms/step | 4.1 samples/s
|
| 631 |
+
Step 5160/20005 | Loss: 2.7361 | LR: 4.28e-04 | 5816.6ms/step | 4.1 samples/s
|
| 632 |
+
Step 5170/20005 | Loss: 2.6602 | LR: 4.27e-04 | 5802.7ms/step | 4.1 samples/s
|
| 633 |
+
Step 5180/20005 | Loss: 2.6408 | LR: 4.27e-04 | 5851.3ms/step | 4.1 samples/s
|
| 634 |
+
Step 5190/20005 | Loss: 2.6586 | LR: 4.27e-04 | 5797.9ms/step | 4.1 samples/s
|
| 635 |
+
Step 5200/20005 | Loss: 2.6770 | LR: 4.26e-04 | 5802.0ms/step | 4.1 samples/s
|
| 636 |
+
Step 5210/20005 | Loss: 2.6575 | LR: 4.26e-04 | 5801.8ms/step | 4.1 samples/s
|
| 637 |
+
Step 5220/20005 | Loss: 2.5600 | LR: 4.26e-04 | 5804.0ms/step | 4.1 samples/s
|
| 638 |
+
Step 5230/20005 | Loss: 2.6149 | LR: 4.26e-04 | 5805.9ms/step | 4.1 samples/s
|
| 639 |
+
Step 5240/20005 | Loss: 2.7000 | LR: 4.25e-04 | 5804.2ms/step | 4.1 samples/s
|
| 640 |
+
Step 5250/20005 | Loss: 2.6361 | LR: 4.25e-04 | 5803.6ms/step | 4.1 samples/s
|
| 641 |
+
Validation at step 5250: Loss = 2.6406, Perplexity = 14.02
|
| 642 |
+
Step 5260/20005 | Loss: 2.6441 | LR: 4.25e-04 | 40969.9ms/step | 0.6 samples/s
|
| 643 |
+
Step 5270/20005 | Loss: 2.6648 | LR: 4.24e-04 | 5801.4ms/step | 4.1 samples/s
|
| 644 |
+
Step 5280/20005 | Loss: 2.6067 | LR: 4.24e-04 | 5801.4ms/step | 4.1 samples/s
|
| 645 |
+
Step 5290/20005 | Loss: 2.6228 | LR: 4.24e-04 | 5802.2ms/step | 4.1 samples/s
|
| 646 |
+
Step 5300/20005 | Loss: 2.5862 | LR: 4.24e-04 | 5803.7ms/step | 4.1 samples/s
|
| 647 |
+
Step 5310/20005 | Loss: 2.6006 | LR: 4.23e-04 | 5807.4ms/step | 4.1 samples/s
|
| 648 |
+
Step 5320/20005 | Loss: 2.6101 | LR: 4.23e-04 | 5801.4ms/step | 4.1 samples/s
|
| 649 |
+
Step 5330/20005 | Loss: 2.5875 | LR: 4.23e-04 | 5801.2ms/step | 4.1 samples/s
|
| 650 |
+
Step 5340/20005 | Loss: 2.5546 | LR: 4.22e-04 | 5800.4ms/step | 4.1 samples/s
|
| 651 |
+
Step 5350/20005 | Loss: 2.6454 | LR: 4.22e-04 | 5804.8ms/step | 4.1 samples/s
|
| 652 |
+
Step 5360/20005 | Loss: 2.6255 | LR: 4.22e-04 | 5804.3ms/step | 4.1 samples/s
|
| 653 |
+
Step 5370/20005 | Loss: 2.6495 | LR: 4.22e-04 | 5807.9ms/step | 4.1 samples/s
|
| 654 |
+
Step 5380/20005 | Loss: 2.5398 | LR: 4.21e-04 | 5802.9ms/step | 4.1 samples/s
|
| 655 |
+
Step 5390/20005 | Loss: 2.6720 | LR: 4.21e-04 | 5811.0ms/step | 4.1 samples/s
|
| 656 |
+
Step 5400/20005 | Loss: 2.6251 | LR: 4.21e-04 | 5817.1ms/step | 4.1 samples/s
|
| 657 |
+
Step 5410/20005 | Loss: 2.6015 | LR: 4.20e-04 | 5823.6ms/step | 4.1 samples/s
|
| 658 |
+
Step 5420/20005 | Loss: 2.5848 | LR: 4.20e-04 | 5819.4ms/step | 4.1 samples/s
|
| 659 |
+
Step 5430/20005 | Loss: 2.5988 | LR: 4.20e-04 | 5820.6ms/step | 4.1 samples/s
|
| 660 |
+
Step 5440/20005 | Loss: 2.6136 | LR: 4.20e-04 | 5823.8ms/step | 4.1 samples/s
|
| 661 |
+
Step 5450/20005 | Loss: 2.5693 | LR: 4.19e-04 | 5824.3ms/step | 4.1 samples/s
|
| 662 |
+
Step 5460/20005 | Loss: 2.5766 | LR: 4.19e-04 | 5824.2ms/step | 4.1 samples/s
|
| 663 |
+
Step 5470/20005 | Loss: 2.6115 | LR: 4.19e-04 | 5825.7ms/step | 4.1 samples/s
|
| 664 |
+
Step 5480/20005 | Loss: 2.5542 | LR: 4.18e-04 | 5823.7ms/step | 4.1 samples/s
|
| 665 |
+
Step 5490/20005 | Loss: 2.6211 | LR: 4.18e-04 | 5823.0ms/step | 4.1 samples/s
|
| 666 |
+
Step 5500/20005 | Loss: 2.6421 | LR: 4.18e-04 | 5821.3ms/step | 4.1 samples/s
|
| 667 |
+
Validation at step 5500: Loss = 2.6272, Perplexity = 13.83
|
| 668 |
+
Step 5510/20005 | Loss: 2.6057 | LR: 4.18e-04 | 40989.2ms/step | 0.6 samples/s
|
| 669 |
+
Step 5520/20005 | Loss: 2.6298 | LR: 4.17e-04 | 5806.8ms/step | 4.1 samples/s
|
| 670 |
+
Step 5530/20005 | Loss: 2.5617 | LR: 4.17e-04 | 5817.7ms/step | 4.1 samples/s
|
| 671 |
+
Step 5540/20005 | Loss: 2.5625 | LR: 4.17e-04 | 5811.9ms/step | 4.1 samples/s
|
| 672 |
+
Step 5550/20005 | Loss: 2.5544 | LR: 4.16e-04 | 5802.5ms/step | 4.1 samples/s
|
| 673 |
+
Step 5560/20005 | Loss: 2.5817 | LR: 4.16e-04 | 5805.2ms/step | 4.1 samples/s
|
| 674 |
+
Step 5570/20005 | Loss: 2.7236 | LR: 4.16e-04 | 5803.1ms/step | 4.1 samples/s
|
| 675 |
+
Step 5580/20005 | Loss: 2.6420 | LR: 4.15e-04 | 5808.7ms/step | 4.1 samples/s
|
| 676 |
+
Step 5590/20005 | Loss: 2.6013 | LR: 4.15e-04 | 5802.6ms/step | 4.1 samples/s
|
| 677 |
+
Step 5600/20005 | Loss: 2.6410 | LR: 4.15e-04 | 5808.7ms/step | 4.1 samples/s
|
| 678 |
+
Step 5610/20005 | Loss: 2.5924 | LR: 4.15e-04 | 5805.3ms/step | 4.1 samples/s
|
| 679 |
+
Step 5620/20005 | Loss: 2.6147 | LR: 4.14e-04 | 5802.3ms/step | 4.1 samples/s
|
| 680 |
+
Step 5630/20005 | Loss: 2.6338 | LR: 4.14e-04 | 5804.2ms/step | 4.1 samples/s
|
| 681 |
+
Step 5640/20005 | Loss: 2.6364 | LR: 4.14e-04 | 5802.2ms/step | 4.1 samples/s
|
| 682 |
+
Step 5650/20005 | Loss: 2.6607 | LR: 4.13e-04 | 5843.6ms/step | 4.1 samples/s
|
| 683 |
+
Step 5660/20005 | Loss: 2.5265 | LR: 4.13e-04 | 5805.7ms/step | 4.1 samples/s
|
| 684 |
+
Step 5670/20005 | Loss: 2.6036 | LR: 4.13e-04 | 5814.1ms/step | 4.1 samples/s
|
| 685 |
+
Step 5680/20005 | Loss: 2.5456 | LR: 4.12e-04 | 5811.3ms/step | 4.1 samples/s
|
| 686 |
+
Step 5690/20005 | Loss: 2.5657 | LR: 4.12e-04 | 5812.6ms/step | 4.1 samples/s
|
| 687 |
+
Step 5700/20005 | Loss: 2.6663 | LR: 4.12e-04 | 5815.5ms/step | 4.1 samples/s
|
| 688 |
+
Step 5710/20005 | Loss: 2.6079 | LR: 4.12e-04 | 5810.8ms/step | 4.1 samples/s
|
| 689 |
+
Step 5720/20005 | Loss: 2.6251 | LR: 4.11e-04 | 5811.5ms/step | 4.1 samples/s
|
| 690 |
+
Step 5730/20005 | Loss: 2.6698 | LR: 4.11e-04 | 5811.0ms/step | 4.1 samples/s
|
| 691 |
+
Step 5740/20005 | Loss: 2.5895 | LR: 4.11e-04 | 5814.5ms/step | 4.1 samples/s
|
| 692 |
+
Step 5750/20005 | Loss: 2.6105 | LR: 4.10e-04 | 5810.2ms/step | 4.1 samples/s
|
| 693 |
+
Validation at step 5750: Loss = 2.6144, Perplexity = 13.66
|
| 694 |
+
Step 5760/20005 | Loss: 2.5906 | LR: 4.10e-04 | 41010.3ms/step | 0.6 samples/s
|
| 695 |
+
Step 5770/20005 | Loss: 2.6256 | LR: 4.10e-04 | 5810.6ms/step | 4.1 samples/s
|
| 696 |
+
Step 5780/20005 | Loss: 2.6565 | LR: 4.09e-04 | 5811.5ms/step | 4.1 samples/s
|
| 697 |
+
Step 5790/20005 | Loss: 2.6120 | LR: 4.09e-04 | 5810.7ms/step | 4.1 samples/s
|
epfl_final/wandb/run-20260505_213713-4i6l0dd0/files/requirements.txt
ADDED
|
@@ -0,0 +1,97 @@
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|
| 1 |
+
pytz==2026.2
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.6.3
|
| 8 |
+
tzdata==2026.2
|
| 9 |
+
typing_extensions==4.15.0
|
| 10 |
+
triton==3.6.0
|
| 11 |
+
tqdm==4.67.3
|
| 12 |
+
torchinfo==1.8.0
|
| 13 |
+
sympy==1.14.0
|
| 14 |
+
smmap==5.0.3
|
| 15 |
+
six==1.17.0
|
| 16 |
+
shellingham==1.5.4
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.4.4
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.4.1
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.2.6
|
| 38 |
+
networkx==3.4.2
|
| 39 |
+
mdurl==0.1.2
|
| 40 |
+
MarkupSafe==3.0.3
|
| 41 |
+
idna==3.13
|
| 42 |
+
hf-xet==1.4.3
|
| 43 |
+
h11==0.16.0
|
| 44 |
+
fsspec==2026.2.0
|
| 45 |
+
frozenlist==1.8.0
|
| 46 |
+
filelock==3.29.0
|
| 47 |
+
dill==0.4.1
|
| 48 |
+
cuda-pathfinder==1.5.4
|
| 49 |
+
click==8.3.3
|
| 50 |
+
charset-normalizer==3.4.7
|
| 51 |
+
certifi==2026.4.22
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
async-timeout==5.0.1
|
| 54 |
+
annotated-types==0.7.0
|
| 55 |
+
annotated-doc==0.0.4
|
| 56 |
+
aiohappyeyeballs==2.6.1
|
| 57 |
+
typing-inspection==0.4.2
|
| 58 |
+
sentry-sdk==2.59.0
|
| 59 |
+
requests==2.33.1
|
| 60 |
+
python-dateutil==2.9.0.post0
|
| 61 |
+
pydantic_core==2.46.3
|
| 62 |
+
nvidia-cusparse==12.6.3.3
|
| 63 |
+
nvidia-cufft==12.0.0.61
|
| 64 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 65 |
+
multiprocess==0.70.19
|
| 66 |
+
multidict==6.7.1
|
| 67 |
+
markdown-it-py==4.0.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
+
httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
exceptiongroup==1.3.1
|
| 72 |
+
cuda-bindings==13.2.0
|
| 73 |
+
aiosignal==1.4.0
|
| 74 |
+
yarl==1.23.0
|
| 75 |
+
rich==15.0.0
|
| 76 |
+
pydantic==2.13.3
|
| 77 |
+
pandas==2.3.3
|
| 78 |
+
nvidia-cusolver==12.0.4.66
|
| 79 |
+
GitPython==3.1.49
|
| 80 |
+
anyio==4.13.0
|
| 81 |
+
wandb==0.26.1
|
| 82 |
+
typer==0.25.1
|
| 83 |
+
httpx==0.28.1
|
| 84 |
+
aiohttp==3.13.5
|
| 85 |
+
torch==2.11.0
|
| 86 |
+
huggingface_hub==1.13.0
|
| 87 |
+
tokenizers==0.22.2
|
| 88 |
+
datasets==4.8.5
|
| 89 |
+
accelerate==1.13.0
|
| 90 |
+
transformers==5.8.0
|
| 91 |
+
PyGObject==3.42.1
|
| 92 |
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dbus-python==1.2.18
|
| 93 |
+
distro==1.7.0
|
| 94 |
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pip==22.0.2
|
| 95 |
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setuptools==59.6.0
|
| 96 |
+
ssh-import-id==5.11
|
| 97 |
+
wheel==0.37.1
|
epfl_final/wandb/run-20260505_213713-4i6l0dd0/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,36 @@
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|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-59-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
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"startedAt": "2026-05-05T21:37:13.817285Z",
|
| 5 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 6 |
+
"codePath": "SparseAtt/train.py",
|
| 7 |
+
"codePathLocal": "SparseAtt/train.py",
|
| 8 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 9 |
+
"root": "/mloscratch/homes/navasard/sparse",
|
| 10 |
+
"host": "h100-node-0-0",
|
| 11 |
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"executable": "/usr/bin/python3",
|
| 12 |
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"cpu_count": 96,
|
| 13 |
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"cpu_count_logical": 192,
|
| 14 |
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"gpu": "NVIDIA H100 80GB HBM3",
|
| 15 |
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"gpu_count": 1,
|
| 16 |
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"disk": {
|
| 17 |
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|
| 18 |
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|
| 19 |
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"used": "7270149292032"
|
| 20 |
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}
|
| 21 |
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|
| 22 |
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"memory": {
|
| 23 |
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"total": "1623005847552"
|
| 24 |
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|
| 25 |
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"gpu_nvidia": [
|
| 26 |
+
{
|
| 27 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 28 |
+
"memoryTotal": "85520809984",
|
| 29 |
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"cudaCores": 16896,
|
| 30 |
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"architecture": "Hopper",
|
| 31 |
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"uuid": "GPU-a0a4877f-b532-7a97-dd64-6d98c46f4daa"
|
| 32 |
+
}
|
| 33 |
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|
| 34 |
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|
| 35 |
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"writerId": "5yf5sr5qwvp8pz24wbq0vpdgy4vs7rmf"
|
| 36 |
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}
|
epfl_final/wandb/run-20260505_213713-4i6l0dd0/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
epfl_final/wandb/run-20260505_213713-4i6l0dd0/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
2026-05-05 21:37:13,835 INFO MainThread:4222 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
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2026-05-05 21:37:13,835 INFO MainThread:4222 [wandb_setup.py:_flush():81] Configure stats pid to 4222
|
| 3 |
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2026-05-05 21:37:13,836 INFO MainThread:4222 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-05-05 21:37:13,837 INFO MainThread:4222 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/wandb/run-20260505_213713-4i6l0dd0/logs/debug.log
|
| 5 |
+
2026-05-05 21:37:13,837 INFO MainThread:4222 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/wandb/run-20260505_213713-4i6l0dd0/logs/debug-internal.log
|
| 6 |
+
2026-05-05 21:37:13,838 INFO MainThread:4222 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-05-05 21:37:13,839 INFO MainThread:4222 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/the_pile_train/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': './checkpoints/run_20260505_213703', 'resume_from_checkpoint': None, 'num_epochs': 1, 'max_steps': 20005, 'per_device_batch_size': 3, 'gradient_accumulation_steps': 8, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 250, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 2000, 'eval_steps': 250, 'eval_batches': 200, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': None, 'wandb_tags': ['qwen3', '0.6b'], 'attention_type': 'dense', 'sparse_block_size': 128, 'sparse_num_random_blocks': 19, 'sparse_mask_pool_size': 10000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': [4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27], '_wandb': {}}
|
| 9 |
+
2026-05-05 21:37:13,839 INFO MainThread:4222 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-05-05 21:37:14,071 INFO MainThread:4222 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-05-05 21:37:14,383 INFO MainThread:4222 [wandb_init.py:init():918] backend started and connected
|
| 12 |
+
2026-05-05 21:37:14,389 INFO MainThread:4222 [wandb_init.py:init():988] updated telemetry
|
| 13 |
+
2026-05-05 21:37:14,390 INFO MainThread:4222 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-05-05 21:37:14,790 INFO MainThread:4222 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
+
2026-05-05 21:37:14,844 INFO MainThread:4222 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
+
2026-05-05 21:37:14,844 INFO MainThread:4222 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
+
2026-05-05 21:37:14,844 INFO MainThread:4222 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
+
2026-05-05 21:37:14,844 INFO MainThread:4222 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-05-05 21:37:14,846 INFO MainThread:4222 [wandb_init.py:init():1094] run started, returning control to user process
|
epfl_final/wandb/run-20260505_213713-4i6l0dd0/run-4i6l0dd0.wandb
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:67c95d8d63408b8e5ea9ca1bf4ec866fc834f039b103ce1ab555b1f54faf400b
|
| 3 |
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size 6062080
|
epfl_final/wandb/run-20260506_173734-nmzybrc7/files/output.log
ADDED
|
@@ -0,0 +1,496 @@
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|
| 1 |
+
|
| 2 |
+
|
| 3 |
+
================================================================================
|
| 4 |
+
MODEL ARCHITECTURE
|
| 5 |
+
================================================================================
|
| 6 |
+
Model config:
|
| 7 |
+
vocab_size: 151936
|
| 8 |
+
hidden_size: 1024
|
| 9 |
+
num_hidden_layers: 28
|
| 10 |
+
num_attention_heads: 16
|
| 11 |
+
num_key_value_heads: 8
|
| 12 |
+
head_dim: 128
|
| 13 |
+
intermediate_size: 3072
|
| 14 |
+
max_position_embeddings: 32768
|
| 15 |
+
rope_theta: 1000000
|
| 16 |
+
attention_type: sparse_stochastic
|
| 17 |
+
sparse_block_size: 128
|
| 18 |
+
sparse_num_random_blocks: 20
|
| 19 |
+
sparse_mask_pool_size: 1000
|
| 20 |
+
sparse_max_seq_length: 8192
|
| 21 |
+
|
| 22 |
+
Parameter count:
|
| 23 |
+
Total parameters: 596,049,920
|
| 24 |
+
Trainable parameters: 596,049,920
|
| 25 |
+
Non-trainable parameters: 0
|
| 26 |
+
Model size (BF16): 1.19 GB
|
| 27 |
+
|
| 28 |
+
--------------------------------------------------------------------------------
|
| 29 |
+
LAYER-BY-LAYER SUMMARY
|
| 30 |
+
--------------------------------------------------------------------------------
|
| 31 |
+
/home/navasard/.local/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1704: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel.
|
| 32 |
+
|
| 33 |
+
SOLUTION: Use torch.compile(flex_attention)(...)
|
| 34 |
+
|
| 35 |
+
If you want to debug your score_mod/mask_mod, you can set:
|
| 36 |
+
torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True
|
| 37 |
+
|
| 38 |
+
This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results.
|
| 39 |
+
_warn_once(
|
| 40 |
+
================================================================================================================================================================
|
| 41 |
+
Layer (type:depth-idx) Input Shape Output Shape Param # Trainable
|
| 42 |
+
================================================================================================================================================================
|
| 43 |
+
Qwen3ForCausalLM [3, 8192] -- -- True
|
| 44 |
+
├─Qwen3Model: 1-1 -- [3, 8192, 1024] -- True
|
| 45 |
+
│ └─Embedding: 2-1 [3, 8192] [3, 8192, 1024] 155,582,464 True
|
| 46 |
+
│ └─ModuleList: 2-2 -- -- -- True
|
| 47 |
+
│ │ └─Qwen3DecoderLayer: 3-1 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 48 |
+
│ │ └─Qwen3DecoderLayer: 3-2 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 49 |
+
│ │ └─Qwen3DecoderLayer: 3-3 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 50 |
+
│ │ └─Qwen3DecoderLayer: 3-4 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 51 |
+
│ │ └─Qwen3DecoderLayer: 3-5 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 52 |
+
│ │ └─Qwen3DecoderLayer: 3-6 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 53 |
+
│ │ └─Qwen3DecoderLayer: 3-7 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 54 |
+
│ │ └─Qwen3DecoderLayer: 3-8 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 55 |
+
│ │ └─Qwen3DecoderLayer: 3-9 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 56 |
+
│ │ └─Qwen3DecoderLayer: 3-10 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 57 |
+
│ │ └─Qwen3DecoderLayer: 3-11 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 58 |
+
│ │ └─Qwen3DecoderLayer: 3-12 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 59 |
+
│ │ └─Qwen3DecoderLayer: 3-13 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 60 |
+
│ │ └─Qwen3DecoderLayer: 3-14 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 61 |
+
│ │ └─Qwen3DecoderLayer: 3-15 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 62 |
+
│ │ └─Qwen3DecoderLayer: 3-16 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 63 |
+
│ │ └─Qwen3DecoderLayer: 3-17 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 64 |
+
│ │ └─Qwen3DecoderLayer: 3-18 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 65 |
+
│ │ └─Qwen3DecoderLayer: 3-19 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 66 |
+
│ │ └─Qwen3DecoderLayer: 3-20 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 67 |
+
│ │ └─Qwen3DecoderLayer: 3-21 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 68 |
+
│ │ └─Qwen3DecoderLayer: 3-22 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 69 |
+
│ │ └─Qwen3DecoderLayer: 3-23 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 70 |
+
│ │ └─Qwen3DecoderLayer: 3-24 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 71 |
+
│ │ └─Qwen3DecoderLayer: 3-25 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 72 |
+
│ │ └─Qwen3DecoderLayer: 3-26 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 73 |
+
│ │ └─Qwen3DecoderLayer: 3-27 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 74 |
+
│ │ └─Qwen3DecoderLayer: 3-28 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 75 |
+
│ └─Qwen3RMSNorm: 2-3 [3, 8192, 1024] [3, 8192, 1024] 1,024 True
|
| 76 |
+
├─Linear: 1-2 [3, 8192, 1024] [3, 8192, 151936] 155,582,464 True
|
| 77 |
+
================================================================================================================================================================
|
| 78 |
+
Total params: 751,632,384
|
| 79 |
+
Trainable params: 751,632,384
|
| 80 |
+
Non-trainable params: 0
|
| 81 |
+
Total mult-adds (G): 2.25
|
| 82 |
+
================================================================================================================================================================
|
| 83 |
+
Input size (MB): 0.20
|
| 84 |
+
Forward/backward pass size (MB): 63052.97
|
| 85 |
+
Params size (MB): 1503.26
|
| 86 |
+
Estimated Total Size (MB): 64556.43
|
| 87 |
+
================================================================================================================================================================
|
| 88 |
+
================================================================================
|
| 89 |
+
|
| 90 |
+
Loading dataset from /mloscratch/homes/navasard/data/the_pile_train/tokenized...
|
| 91 |
+
Using pre-tokenized dataset (no runtime tokenization)
|
| 92 |
+
Loading pre-tokenized HF dataset from /mloscratch/homes/navasard/data/the_pile_train/tokenized...
|
| 93 |
+
Loaded 5315146 pre-tokenized examples (stored_len=2048, pack_factor=4, packed_examples=1328786)
|
| 94 |
+
Dataset split: 1063028 train, 265758 validation
|
| 95 |
+
Training examples (packed, train split): 1063028
|
| 96 |
+
Validation examples (packed, val split): 265758
|
| 97 |
+
Per-device batch size: 3
|
| 98 |
+
World size (GPUs): 1
|
| 99 |
+
Gradient accumulation steps: 8
|
| 100 |
+
Effective batch size (seqs/step): 24
|
| 101 |
+
Sequence length: 8192
|
| 102 |
+
Tokens per optimizer step: 196,608
|
| 103 |
+
Micro-batches per epoch (per rank): 354342
|
| 104 |
+
Optimizer steps per epoch: 44292
|
| 105 |
+
Total optimizer steps: 20005 (capped by max_steps; 0.45 epochs)
|
| 106 |
+
Starting training...
|
| 107 |
+
Step 10/20005 | Loss: 12.0953 | LR: 2.00e-05 | 9747.4ms/step | 2.5 samples/s
|
| 108 |
+
Step 20/20005 | Loss: 11.5112 | LR: 4.00e-05 | 2455.1ms/step | 9.8 samples/s
|
| 109 |
+
Step 30/20005 | Loss: 10.6615 | LR: 6.00e-05 | 2445.4ms/step | 9.8 samples/s
|
| 110 |
+
Step 40/20005 | Loss: 10.1898 | LR: 8.00e-05 | 2439.2ms/step | 9.8 samples/s
|
| 111 |
+
Step 50/20005 | Loss: 9.3633 | LR: 1.00e-04 | 2437.9ms/step | 9.8 samples/s
|
| 112 |
+
Step 60/20005 | Loss: 8.6099 | LR: 1.20e-04 | 2437.9ms/step | 9.8 samples/s
|
| 113 |
+
Step 70/20005 | Loss: 8.0160 | LR: 1.40e-04 | 2443.9ms/step | 9.8 samples/s
|
| 114 |
+
Step 80/20005 | Loss: 7.6071 | LR: 1.60e-04 | 2450.5ms/step | 9.8 samples/s
|
| 115 |
+
Step 90/20005 | Loss: 7.6196 | LR: 1.80e-04 | 2459.7ms/step | 9.8 samples/s
|
| 116 |
+
Step 100/20005 | Loss: 7.3453 | LR: 2.00e-04 | 2461.2ms/step | 9.8 samples/s
|
| 117 |
+
Step 110/20005 | Loss: 7.2536 | LR: 2.20e-04 | 2465.1ms/step | 9.7 samples/s
|
| 118 |
+
Step 120/20005 | Loss: 7.1495 | LR: 2.40e-04 | 2464.9ms/step | 9.7 samples/s
|
| 119 |
+
Step 130/20005 | Loss: 6.9748 | LR: 2.60e-04 | 2466.5ms/step | 9.7 samples/s
|
| 120 |
+
Step 140/20005 | Loss: 6.8463 | LR: 2.80e-04 | 2472.3ms/step | 9.7 samples/s
|
| 121 |
+
Step 150/20005 | Loss: 6.6894 | LR: 3.00e-04 | 2469.1ms/step | 9.7 samples/s
|
| 122 |
+
Step 160/20005 | Loss: 6.5733 | LR: 3.20e-04 | 2472.4ms/step | 9.7 samples/s
|
| 123 |
+
Step 170/20005 | Loss: 6.5434 | LR: 3.40e-04 | 2471.1ms/step | 9.7 samples/s
|
| 124 |
+
Step 180/20005 | Loss: 6.4437 | LR: 3.60e-04 | 2469.6ms/step | 9.7 samples/s
|
| 125 |
+
Step 190/20005 | Loss: 6.2488 | LR: 3.80e-04 | 2469.1ms/step | 9.7 samples/s
|
| 126 |
+
Step 200/20005 | Loss: 6.3373 | LR: 4.00e-04 | 2470.4ms/step | 9.7 samples/s
|
| 127 |
+
Step 210/20005 | Loss: 6.1415 | LR: 4.20e-04 | 2472.3ms/step | 9.7 samples/s
|
| 128 |
+
Step 220/20005 | Loss: 6.0566 | LR: 4.40e-04 | 2472.8ms/step | 9.7 samples/s
|
| 129 |
+
Step 230/20005 | Loss: 6.0284 | LR: 4.60e-04 | 2472.8ms/step | 9.7 samples/s
|
| 130 |
+
Step 240/20005 | Loss: 6.0281 | LR: 4.80e-04 | 2472.8ms/step | 9.7 samples/s
|
| 131 |
+
Step 250/20005 | Loss: 5.8878 | LR: 5.00e-04 | 2474.1ms/step | 9.7 samples/s
|
| 132 |
+
Validation at step 250: Loss = 5.9092, Perplexity = 368.41
|
| 133 |
+
Step 260/20005 | Loss: 5.8341 | LR: 5.00e-04 | 23166.1ms/step | 1.0 samples/s
|
| 134 |
+
Step 270/20005 | Loss: 5.7961 | LR: 5.00e-04 | 2467.7ms/step | 9.7 samples/s
|
| 135 |
+
Step 280/20005 | Loss: 5.8218 | LR: 5.00e-04 | 2469.0ms/step | 9.7 samples/s
|
| 136 |
+
Step 290/20005 | Loss: 5.7036 | LR: 5.00e-04 | 2469.6ms/step | 9.7 samples/s
|
| 137 |
+
Step 300/20005 | Loss: 5.6739 | LR: 5.00e-04 | 2469.6ms/step | 9.7 samples/s
|
| 138 |
+
Step 310/20005 | Loss: 5.6067 | LR: 5.00e-04 | 2470.2ms/step | 9.7 samples/s
|
| 139 |
+
Step 320/20005 | Loss: 5.5022 | LR: 5.00e-04 | 2472.2ms/step | 9.7 samples/s
|
| 140 |
+
Step 330/20005 | Loss: 5.4496 | LR: 5.00e-04 | 2469.2ms/step | 9.7 samples/s
|
| 141 |
+
Step 340/20005 | Loss: 5.2664 | LR: 5.00e-04 | 2470.2ms/step | 9.7 samples/s
|
| 142 |
+
Step 350/20005 | Loss: 5.2576 | LR: 5.00e-04 | 2469.4ms/step | 9.7 samples/s
|
| 143 |
+
Step 360/20005 | Loss: 5.3474 | LR: 5.00e-04 | 2468.0ms/step | 9.7 samples/s
|
| 144 |
+
Step 370/20005 | Loss: 5.0944 | LR: 5.00e-04 | 2468.5ms/step | 9.7 samples/s
|
| 145 |
+
Step 380/20005 | Loss: 5.1576 | LR: 5.00e-04 | 2473.3ms/step | 9.7 samples/s
|
| 146 |
+
Step 390/20005 | Loss: 5.1447 | LR: 5.00e-04 | 2473.1ms/step | 9.7 samples/s
|
| 147 |
+
Step 400/20005 | Loss: 5.0084 | LR: 5.00e-04 | 2475.2ms/step | 9.7 samples/s
|
| 148 |
+
Step 410/20005 | Loss: 5.0430 | LR: 5.00e-04 | 2472.0ms/step | 9.7 samples/s
|
| 149 |
+
Step 420/20005 | Loss: 4.8453 | LR: 5.00e-04 | 2470.4ms/step | 9.7 samples/s
|
| 150 |
+
Step 430/20005 | Loss: 4.9373 | LR: 5.00e-04 | 2472.6ms/step | 9.7 samples/s
|
| 151 |
+
Step 440/20005 | Loss: 4.7404 | LR: 5.00e-04 | 2473.2ms/step | 9.7 samples/s
|
| 152 |
+
Step 450/20005 | Loss: 4.8040 | LR: 5.00e-04 | 2470.3ms/step | 9.7 samples/s
|
| 153 |
+
Step 460/20005 | Loss: 4.8016 | LR: 5.00e-04 | 2468.5ms/step | 9.7 samples/s
|
| 154 |
+
Step 470/20005 | Loss: 4.7038 | LR: 5.00e-04 | 2470.9ms/step | 9.7 samples/s
|
| 155 |
+
Step 480/20005 | Loss: 4.6288 | LR: 5.00e-04 | 2470.2ms/step | 9.7 samples/s
|
| 156 |
+
Step 490/20005 | Loss: 4.6210 | LR: 5.00e-04 | 2470.4ms/step | 9.7 samples/s
|
| 157 |
+
Step 500/20005 | Loss: 4.5110 | LR: 5.00e-04 | 2470.2ms/step | 9.7 samples/s
|
| 158 |
+
Validation at step 500: Loss = 4.5643, Perplexity = 95.99
|
| 159 |
+
Step 510/20005 | Loss: 4.6094 | LR: 5.00e-04 | 20008.5ms/step | 1.2 samples/s
|
| 160 |
+
Step 520/20005 | Loss: 4.5267 | LR: 5.00e-04 | 2473.6ms/step | 9.7 samples/s
|
| 161 |
+
Step 530/20005 | Loss: 4.4512 | LR: 5.00e-04 | 2471.4ms/step | 9.7 samples/s
|
| 162 |
+
Step 540/20005 | Loss: 4.4637 | LR: 5.00e-04 | 2470.1ms/step | 9.7 samples/s
|
| 163 |
+
Step 550/20005 | Loss: 4.3918 | LR: 5.00e-04 | 2469.5ms/step | 9.7 samples/s
|
| 164 |
+
Step 560/20005 | Loss: 4.4136 | LR: 5.00e-04 | 2471.2ms/step | 9.7 samples/s
|
| 165 |
+
Step 570/20005 | Loss: 4.3111 | LR: 5.00e-04 | 2470.1ms/step | 9.7 samples/s
|
| 166 |
+
Step 580/20005 | Loss: 4.2604 | LR: 5.00e-04 | 2466.7ms/step | 9.7 samples/s
|
| 167 |
+
Step 590/20005 | Loss: 4.2515 | LR: 5.00e-04 | 2471.6ms/step | 9.7 samples/s
|
| 168 |
+
Step 600/20005 | Loss: 4.2258 | LR: 5.00e-04 | 2472.6ms/step | 9.7 samples/s
|
| 169 |
+
Step 610/20005 | Loss: 4.1722 | LR: 5.00e-04 | 2471.3ms/step | 9.7 samples/s
|
| 170 |
+
Step 620/20005 | Loss: 4.1427 | LR: 5.00e-04 | 2471.6ms/step | 9.7 samples/s
|
| 171 |
+
Step 630/20005 | Loss: 4.1107 | LR: 5.00e-04 | 2470.0ms/step | 9.7 samples/s
|
| 172 |
+
Step 640/20005 | Loss: 4.1992 | LR: 5.00e-04 | 2469.4ms/step | 9.7 samples/s
|
| 173 |
+
Step 650/20005 | Loss: 4.1674 | LR: 4.99e-04 | 2472.4ms/step | 9.7 samples/s
|
| 174 |
+
Step 660/20005 | Loss: 4.1263 | LR: 4.99e-04 | 2471.2ms/step | 9.7 samples/s
|
| 175 |
+
Step 670/20005 | Loss: 4.0386 | LR: 4.99e-04 | 2474.5ms/step | 9.7 samples/s
|
| 176 |
+
Step 680/20005 | Loss: 4.0233 | LR: 4.99e-04 | 2472.6ms/step | 9.7 samples/s
|
| 177 |
+
Step 690/20005 | Loss: 3.9074 | LR: 4.99e-04 | 2467.9ms/step | 9.7 samples/s
|
| 178 |
+
Step 700/20005 | Loss: 3.9711 | LR: 4.99e-04 | 2467.3ms/step | 9.7 samples/s
|
| 179 |
+
Step 710/20005 | Loss: 4.0219 | LR: 4.99e-04 | 2472.1ms/step | 9.7 samples/s
|
| 180 |
+
Step 720/20005 | Loss: 3.9824 | LR: 4.99e-04 | 2474.1ms/step | 9.7 samples/s
|
| 181 |
+
Step 730/20005 | Loss: 3.9286 | LR: 4.99e-04 | 2473.0ms/step | 9.7 samples/s
|
| 182 |
+
Step 740/20005 | Loss: 3.8975 | LR: 4.99e-04 | 2475.8ms/step | 9.7 samples/s
|
| 183 |
+
Step 750/20005 | Loss: 3.8868 | LR: 4.99e-04 | 2472.0ms/step | 9.7 samples/s
|
| 184 |
+
Validation at step 750: Loss = 3.9122, Perplexity = 50.01
|
| 185 |
+
Step 760/20005 | Loss: 3.9005 | LR: 4.99e-04 | 19998.9ms/step | 1.2 samples/s
|
| 186 |
+
Step 770/20005 | Loss: 3.8754 | LR: 4.99e-04 | 2471.5ms/step | 9.7 samples/s
|
| 187 |
+
Step 780/20005 | Loss: 3.9505 | LR: 4.99e-04 | 2470.8ms/step | 9.7 samples/s
|
| 188 |
+
Step 790/20005 | Loss: 3.8299 | LR: 4.99e-04 | 2472.9ms/step | 9.7 samples/s
|
| 189 |
+
Step 800/20005 | Loss: 3.7659 | LR: 4.99e-04 | 2471.3ms/step | 9.7 samples/s
|
| 190 |
+
Step 810/20005 | Loss: 3.8095 | LR: 4.99e-04 | 2469.0ms/step | 9.7 samples/s
|
| 191 |
+
Step 820/20005 | Loss: 3.8006 | LR: 4.99e-04 | 2470.9ms/step | 9.7 samples/s
|
| 192 |
+
Step 830/20005 | Loss: 3.8261 | LR: 4.99e-04 | 2472.9ms/step | 9.7 samples/s
|
| 193 |
+
Step 840/20005 | Loss: 3.8026 | LR: 4.99e-04 | 2469.8ms/step | 9.7 samples/s
|
| 194 |
+
Step 850/20005 | Loss: 3.7642 | LR: 4.99e-04 | 2472.0ms/step | 9.7 samples/s
|
| 195 |
+
Step 860/20005 | Loss: 3.7994 | LR: 4.99e-04 | 2472.7ms/step | 9.7 samples/s
|
| 196 |
+
Step 870/20005 | Loss: 3.7685 | LR: 4.99e-04 | 2473.4ms/step | 9.7 samples/s
|
| 197 |
+
Step 880/20005 | Loss: 3.7097 | LR: 4.99e-04 | 2470.1ms/step | 9.7 samples/s
|
| 198 |
+
Step 890/20005 | Loss: 3.6376 | LR: 4.99e-04 | 2468.6ms/step | 9.7 samples/s
|
| 199 |
+
Step 900/20005 | Loss: 3.7063 | LR: 4.99e-04 | 2474.3ms/step | 9.7 samples/s
|
| 200 |
+
Step 910/20005 | Loss: 3.6934 | LR: 4.99e-04 | 2471.7ms/step | 9.7 samples/s
|
| 201 |
+
Step 920/20005 | Loss: 3.6495 | LR: 4.99e-04 | 2470.7ms/step | 9.7 samples/s
|
| 202 |
+
Step 930/20005 | Loss: 3.5923 | LR: 4.99e-04 | 2471.9ms/step | 9.7 samples/s
|
| 203 |
+
Step 940/20005 | Loss: 3.7267 | LR: 4.98e-04 | 2470.2ms/step | 9.7 samples/s
|
| 204 |
+
Step 950/20005 | Loss: 3.5760 | LR: 4.98e-04 | 2468.5ms/step | 9.7 samples/s
|
| 205 |
+
Step 960/20005 | Loss: 3.6459 | LR: 4.98e-04 | 2469.6ms/step | 9.7 samples/s
|
| 206 |
+
Step 970/20005 | Loss: 3.5800 | LR: 4.98e-04 | 2471.9ms/step | 9.7 samples/s
|
| 207 |
+
Step 980/20005 | Loss: 3.5983 | LR: 4.98e-04 | 2475.0ms/step | 9.7 samples/s
|
| 208 |
+
Step 990/20005 | Loss: 3.6347 | LR: 4.98e-04 | 2474.8ms/step | 9.7 samples/s
|
| 209 |
+
Step 1000/20005 | Loss: 3.5700 | LR: 4.98e-04 | 2472.7ms/step | 9.7 samples/s
|
| 210 |
+
Validation at step 1000: Loss = 3.6054, Perplexity = 36.79
|
| 211 |
+
Step 1010/20005 | Loss: 3.5783 | LR: 4.98e-04 | 20042.8ms/step | 1.2 samples/s
|
| 212 |
+
Step 1020/20005 | Loss: 3.5671 | LR: 4.98e-04 | 2473.3ms/step | 9.7 samples/s
|
| 213 |
+
Step 1030/20005 | Loss: 3.5786 | LR: 4.98e-04 | 2470.0ms/step | 9.7 samples/s
|
| 214 |
+
Step 1040/20005 | Loss: 3.6036 | LR: 4.98e-04 | 2572.7ms/step | 9.3 samples/s
|
| 215 |
+
Step 1050/20005 | Loss: 3.4463 | LR: 4.98e-04 | 2481.5ms/step | 9.7 samples/s
|
| 216 |
+
Step 1060/20005 | Loss: 3.5629 | LR: 4.98e-04 | 2484.6ms/step | 9.7 samples/s
|
| 217 |
+
Step 1070/20005 | Loss: 3.5151 | LR: 4.98e-04 | 2482.3ms/step | 9.7 samples/s
|
| 218 |
+
Step 1080/20005 | Loss: 3.6346 | LR: 4.98e-04 | 2482.4ms/step | 9.7 samples/s
|
| 219 |
+
Step 1090/20005 | Loss: 3.5463 | LR: 4.98e-04 | 2483.7ms/step | 9.7 samples/s
|
| 220 |
+
Step 1100/20005 | Loss: 3.4785 | LR: 4.98e-04 | 2485.4ms/step | 9.7 samples/s
|
| 221 |
+
Step 1110/20005 | Loss: 3.5641 | LR: 4.98e-04 | 2482.7ms/step | 9.7 samples/s
|
| 222 |
+
Step 1120/20005 | Loss: 3.5929 | LR: 4.98e-04 | 2481.2ms/step | 9.7 samples/s
|
| 223 |
+
Step 1130/20005 | Loss: 3.5342 | LR: 4.98e-04 | 2480.7ms/step | 9.7 samples/s
|
| 224 |
+
Step 1140/20005 | Loss: 3.5100 | LR: 4.98e-04 | 2483.6ms/step | 9.7 samples/s
|
| 225 |
+
Step 1150/20005 | Loss: 3.5179 | LR: 4.97e-04 | 2488.2ms/step | 9.6 samples/s
|
| 226 |
+
Step 1160/20005 | Loss: 3.4899 | LR: 4.97e-04 | 2485.5ms/step | 9.7 samples/s
|
| 227 |
+
Step 1170/20005 | Loss: 3.5013 | LR: 4.97e-04 | 2483.8ms/step | 9.7 samples/s
|
| 228 |
+
Step 1180/20005 | Loss: 3.4978 | LR: 4.97e-04 | 2482.7ms/step | 9.7 samples/s
|
| 229 |
+
Step 1190/20005 | Loss: 3.5004 | LR: 4.97e-04 | 2483.5ms/step | 9.7 samples/s
|
| 230 |
+
Step 1200/20005 | Loss: 3.4190 | LR: 4.97e-04 | 2484.0ms/step | 9.7 samples/s
|
| 231 |
+
Step 1210/20005 | Loss: 3.3502 | LR: 4.97e-04 | 2484.1ms/step | 9.7 samples/s
|
| 232 |
+
Step 1220/20005 | Loss: 3.5036 | LR: 4.97e-04 | 2483.9ms/step | 9.7 samples/s
|
| 233 |
+
Step 1230/20005 | Loss: 3.4153 | LR: 4.97e-04 | 2481.5ms/step | 9.7 samples/s
|
| 234 |
+
Step 1240/20005 | Loss: 3.5046 | LR: 4.97e-04 | 2480.7ms/step | 9.7 samples/s
|
| 235 |
+
Step 1250/20005 | Loss: 3.3397 | LR: 4.97e-04 | 2482.6ms/step | 9.7 samples/s
|
| 236 |
+
Validation at step 1250: Loss = 3.4208, Perplexity = 30.60
|
| 237 |
+
Step 1260/20005 | Loss: 3.3878 | LR: 4.97e-04 | 20092.1ms/step | 1.2 samples/s
|
| 238 |
+
Step 1270/20005 | Loss: 3.4112 | LR: 4.97e-04 | 2480.6ms/step | 9.7 samples/s
|
| 239 |
+
Step 1280/20005 | Loss: 3.3534 | LR: 4.97e-04 | 2481.9ms/step | 9.7 samples/s
|
| 240 |
+
Step 1290/20005 | Loss: 3.4114 | LR: 4.97e-04 | 2482.4ms/step | 9.7 samples/s
|
| 241 |
+
Step 1300/20005 | Loss: 3.3480 | LR: 4.97e-04 | 2481.8ms/step | 9.7 samples/s
|
| 242 |
+
Step 1310/20005 | Loss: 3.3368 | LR: 4.96e-04 | 2481.3ms/step | 9.7 samples/s
|
| 243 |
+
Step 1320/20005 | Loss: 3.3049 | LR: 4.96e-04 | 2482.6ms/step | 9.7 samples/s
|
| 244 |
+
Step 1330/20005 | Loss: 3.4321 | LR: 4.96e-04 | 2480.4ms/step | 9.7 samples/s
|
| 245 |
+
Step 1340/20005 | Loss: 3.3693 | LR: 4.96e-04 | 2480.2ms/step | 9.7 samples/s
|
| 246 |
+
Step 1350/20005 | Loss: 3.3928 | LR: 4.96e-04 | 2482.5ms/step | 9.7 samples/s
|
| 247 |
+
Step 1360/20005 | Loss: 3.3521 | LR: 4.96e-04 | 2482.5ms/step | 9.7 samples/s
|
| 248 |
+
Step 1370/20005 | Loss: 3.3616 | LR: 4.96e-04 | 2481.4ms/step | 9.7 samples/s
|
| 249 |
+
Step 1380/20005 | Loss: 3.3294 | LR: 4.96e-04 | 2485.7ms/step | 9.7 samples/s
|
| 250 |
+
Step 1390/20005 | Loss: 3.2962 | LR: 4.96e-04 | 2482.7ms/step | 9.7 samples/s
|
| 251 |
+
Step 1400/20005 | Loss: 3.3390 | LR: 4.96e-04 | 2482.3ms/step | 9.7 samples/s
|
| 252 |
+
Step 1410/20005 | Loss: 3.3442 | LR: 4.96e-04 | 2478.7ms/step | 9.7 samples/s
|
| 253 |
+
Step 1420/20005 | Loss: 3.3456 | LR: 4.96e-04 | 2480.5ms/step | 9.7 samples/s
|
| 254 |
+
Step 1430/20005 | Loss: 3.3379 | LR: 4.96e-04 | 2482.0ms/step | 9.7 samples/s
|
| 255 |
+
Step 1440/20005 | Loss: 3.3419 | LR: 4.96e-04 | 2478.3ms/step | 9.7 samples/s
|
| 256 |
+
Step 1450/20005 | Loss: 3.3965 | LR: 4.95e-04 | 2480.7ms/step | 9.7 samples/s
|
| 257 |
+
Step 1460/20005 | Loss: 3.3223 | LR: 4.95e-04 | 2479.9ms/step | 9.7 samples/s
|
| 258 |
+
Step 1470/20005 | Loss: 3.3176 | LR: 4.95e-04 | 2479.8ms/step | 9.7 samples/s
|
| 259 |
+
Step 1480/20005 | Loss: 3.3046 | LR: 4.95e-04 | 2480.6ms/step | 9.7 samples/s
|
| 260 |
+
Step 1490/20005 | Loss: 3.2875 | LR: 4.95e-04 | 2480.2ms/step | 9.7 samples/s
|
| 261 |
+
Step 1500/20005 | Loss: 3.3622 | LR: 4.95e-04 | 2481.7ms/step | 9.7 samples/s
|
| 262 |
+
Validation at step 1500: Loss = 3.3429, Perplexity = 28.30
|
| 263 |
+
Step 1510/20005 | Loss: 3.2782 | LR: 4.95e-04 | 20084.7ms/step | 1.2 samples/s
|
| 264 |
+
Step 1520/20005 | Loss: 3.3071 | LR: 4.95e-04 | 2483.2ms/step | 9.7 samples/s
|
| 265 |
+
Step 1530/20005 | Loss: 3.3001 | LR: 4.95e-04 | 2481.1ms/step | 9.7 samples/s
|
| 266 |
+
Step 1540/20005 | Loss: 3.2394 | LR: 4.95e-04 | 2484.8ms/step | 9.7 samples/s
|
| 267 |
+
Step 1550/20005 | Loss: 3.3707 | LR: 4.95e-04 | 2484.1ms/step | 9.7 samples/s
|
| 268 |
+
Step 1560/20005 | Loss: 3.2867 | LR: 4.95e-04 | 2480.0ms/step | 9.7 samples/s
|
| 269 |
+
Step 1570/20005 | Loss: 3.2819 | LR: 4.95e-04 | 2481.8ms/step | 9.7 samples/s
|
| 270 |
+
Step 1580/20005 | Loss: 3.2988 | LR: 4.94e-04 | 2480.3ms/step | 9.7 samples/s
|
| 271 |
+
Step 1590/20005 | Loss: 3.2332 | LR: 4.94e-04 | 2480.0ms/step | 9.7 samples/s
|
| 272 |
+
Step 1600/20005 | Loss: 3.3096 | LR: 4.94e-04 | 2481.9ms/step | 9.7 samples/s
|
| 273 |
+
Step 1610/20005 | Loss: 3.2179 | LR: 4.94e-04 | 2484.5ms/step | 9.7 samples/s
|
| 274 |
+
Step 1620/20005 | Loss: 3.2699 | LR: 4.94e-04 | 2479.5ms/step | 9.7 samples/s
|
| 275 |
+
Step 1630/20005 | Loss: 3.2273 | LR: 4.94e-04 | 2482.2ms/step | 9.7 samples/s
|
| 276 |
+
Step 1640/20005 | Loss: 3.3416 | LR: 4.94e-04 | 2481.6ms/step | 9.7 samples/s
|
| 277 |
+
Step 1650/20005 | Loss: 3.3088 | LR: 4.94e-04 | 2483.9ms/step | 9.7 samples/s
|
| 278 |
+
Step 1660/20005 | Loss: 3.2767 | LR: 4.94e-04 | 2485.8ms/step | 9.7 samples/s
|
| 279 |
+
Step 1670/20005 | Loss: 3.1671 | LR: 4.94e-04 | 2485.2ms/step | 9.7 samples/s
|
| 280 |
+
Step 1680/20005 | Loss: 3.3102 | LR: 4.94e-04 | 2482.1ms/step | 9.7 samples/s
|
| 281 |
+
Step 1690/20005 | Loss: 3.1658 | LR: 4.93e-04 | 2480.9ms/step | 9.7 samples/s
|
| 282 |
+
Step 1700/20005 | Loss: 3.2453 | LR: 4.93e-04 | 2484.1ms/step | 9.7 samples/s
|
| 283 |
+
Step 1710/20005 | Loss: 3.1070 | LR: 4.93e-04 | 2483.1ms/step | 9.7 samples/s
|
| 284 |
+
Step 1720/20005 | Loss: 3.1972 | LR: 4.93e-04 | 2480.9ms/step | 9.7 samples/s
|
| 285 |
+
Step 1730/20005 | Loss: 3.2333 | LR: 4.93e-04 | 2480.2ms/step | 9.7 samples/s
|
| 286 |
+
Step 1740/20005 | Loss: 3.1906 | LR: 4.93e-04 | 2485.7ms/step | 9.7 samples/s
|
| 287 |
+
Step 1750/20005 | Loss: 3.2600 | LR: 4.93e-04 | 2484.0ms/step | 9.7 samples/s
|
| 288 |
+
Validation at step 1750: Loss = 3.2076, Perplexity = 24.72
|
| 289 |
+
Step 1760/20005 | Loss: 3.2116 | LR: 4.93e-04 | 20073.0ms/step | 1.2 samples/s
|
| 290 |
+
Step 1770/20005 | Loss: 3.2311 | LR: 4.93e-04 | 2482.8ms/step | 9.7 samples/s
|
| 291 |
+
Step 1780/20005 | Loss: 3.2018 | LR: 4.93e-04 | 2480.3ms/step | 9.7 samples/s
|
| 292 |
+
Step 1790/20005 | Loss: 3.1756 | LR: 4.93e-04 | 2480.4ms/step | 9.7 samples/s
|
| 293 |
+
Step 1800/20005 | Loss: 3.1392 | LR: 4.92e-04 | 2482.7ms/step | 9.7 samples/s
|
| 294 |
+
Step 1810/20005 | Loss: 3.2799 | LR: 4.92e-04 | 2482.7ms/step | 9.7 samples/s
|
| 295 |
+
Step 1820/20005 | Loss: 3.1527 | LR: 4.92e-04 | 2483.2ms/step | 9.7 samples/s
|
| 296 |
+
Step 1830/20005 | Loss: 3.2052 | LR: 4.92e-04 | 2582.8ms/step | 9.3 samples/s
|
| 297 |
+
Step 1840/20005 | Loss: 3.1211 | LR: 4.92e-04 | 2482.1ms/step | 9.7 samples/s
|
| 298 |
+
Step 1850/20005 | Loss: 3.1366 | LR: 4.92e-04 | 2483.4ms/step | 9.7 samples/s
|
| 299 |
+
Step 1860/20005 | Loss: 3.1339 | LR: 4.92e-04 | 2485.6ms/step | 9.7 samples/s
|
| 300 |
+
Step 1870/20005 | Loss: 3.1281 | LR: 4.92e-04 | 2481.2ms/step | 9.7 samples/s
|
| 301 |
+
Step 1880/20005 | Loss: 3.1423 | LR: 4.92e-04 | 2480.9ms/step | 9.7 samples/s
|
| 302 |
+
Step 1890/20005 | Loss: 3.1088 | LR: 4.92e-04 | 2484.9ms/step | 9.7 samples/s
|
| 303 |
+
Step 1900/20005 | Loss: 3.2010 | LR: 4.91e-04 | 2480.0ms/step | 9.7 samples/s
|
| 304 |
+
Step 1910/20005 | Loss: 3.1371 | LR: 4.91e-04 | 2481.1ms/step | 9.7 samples/s
|
| 305 |
+
Step 1920/20005 | Loss: 3.1164 | LR: 4.91e-04 | 2482.7ms/step | 9.7 samples/s
|
| 306 |
+
Step 1930/20005 | Loss: 3.1960 | LR: 4.91e-04 | 2482.0ms/step | 9.7 samples/s
|
| 307 |
+
Step 1940/20005 | Loss: 3.0022 | LR: 4.91e-04 | 2482.1ms/step | 9.7 samples/s
|
| 308 |
+
Step 1950/20005 | Loss: 3.1884 | LR: 4.91e-04 | 2484.2ms/step | 9.7 samples/s
|
| 309 |
+
Step 1960/20005 | Loss: 3.1131 | LR: 4.91e-04 | 2481.6ms/step | 9.7 samples/s
|
| 310 |
+
Step 1970/20005 | Loss: 3.1066 | LR: 4.91e-04 | 2480.0ms/step | 9.7 samples/s
|
| 311 |
+
Step 1980/20005 | Loss: 3.0815 | LR: 4.91e-04 | 2481.2ms/step | 9.7 samples/s
|
| 312 |
+
Step 1990/20005 | Loss: 3.0854 | LR: 4.90e-04 | 2485.2ms/step | 9.7 samples/s
|
| 313 |
+
Step 2000/20005 | Loss: 3.1739 | LR: 4.90e-04 | 2483.9ms/step | 9.7 samples/s
|
| 314 |
+
Validation at step 2000: Loss = 3.1330, Perplexity = 22.94
|
| 315 |
+
Saved checkpoint to checkpoints/run_20260506_171628/checkpoint-2000
|
| 316 |
+
Step 2010/20005 | Loss: 3.1899 | LR: 4.90e-04 | 20595.1ms/step | 1.2 samples/s
|
| 317 |
+
Step 2020/20005 | Loss: 3.1322 | LR: 4.90e-04 | 2483.0ms/step | 9.7 samples/s
|
| 318 |
+
Step 2030/20005 | Loss: 3.1557 | LR: 4.90e-04 | 2483.2ms/step | 9.7 samples/s
|
| 319 |
+
Step 2040/20005 | Loss: 3.1301 | LR: 4.90e-04 | 2481.5ms/step | 9.7 samples/s
|
| 320 |
+
Step 2050/20005 | Loss: 3.0754 | LR: 4.90e-04 | 2484.8ms/step | 9.7 samples/s
|
| 321 |
+
Step 2060/20005 | Loss: 3.0958 | LR: 4.90e-04 | 2482.1ms/step | 9.7 samples/s
|
| 322 |
+
Step 2070/20005 | Loss: 3.1173 | LR: 4.90e-04 | 2482.0ms/step | 9.7 samples/s
|
| 323 |
+
Step 2080/20005 | Loss: 3.1208 | LR: 4.89e-04 | 2479.9ms/step | 9.7 samples/s
|
| 324 |
+
Step 2090/20005 | Loss: 3.0896 | LR: 4.89e-04 | 2479.4ms/step | 9.7 samples/s
|
| 325 |
+
Step 2100/20005 | Loss: 3.0643 | LR: 4.89e-04 | 2480.4ms/step | 9.7 samples/s
|
| 326 |
+
Step 2110/20005 | Loss: 3.1077 | LR: 4.89e-04 | 2480.6ms/step | 9.7 samples/s
|
| 327 |
+
Step 2120/20005 | Loss: 3.0934 | LR: 4.89e-04 | 2481.7ms/step | 9.7 samples/s
|
| 328 |
+
Step 2130/20005 | Loss: 3.2026 | LR: 4.89e-04 | 2482.3ms/step | 9.7 samples/s
|
| 329 |
+
Step 2140/20005 | Loss: 2.9999 | LR: 4.89e-04 | 2481.5ms/step | 9.7 samples/s
|
| 330 |
+
Step 2150/20005 | Loss: 3.1597 | LR: 4.89e-04 | 2478.5ms/step | 9.7 samples/s
|
| 331 |
+
Step 2160/20005 | Loss: 3.1149 | LR: 4.89e-04 | 2479.0ms/step | 9.7 samples/s
|
| 332 |
+
Step 2170/20005 | Loss: 3.0599 | LR: 4.88e-04 | 2480.0ms/step | 9.7 samples/s
|
| 333 |
+
Step 2180/20005 | Loss: 3.0751 | LR: 4.88e-04 | 2478.7ms/step | 9.7 samples/s
|
| 334 |
+
Step 2190/20005 | Loss: 3.0508 | LR: 4.88e-04 | 2481.1ms/step | 9.7 samples/s
|
| 335 |
+
Step 2200/20005 | Loss: 3.0565 | LR: 4.88e-04 | 2482.9ms/step | 9.7 samples/s
|
| 336 |
+
Step 2210/20005 | Loss: 3.0679 | LR: 4.88e-04 | 2479.5ms/step | 9.7 samples/s
|
| 337 |
+
Step 2220/20005 | Loss: 3.0740 | LR: 4.88e-04 | 2480.0ms/step | 9.7 samples/s
|
| 338 |
+
Step 2230/20005 | Loss: 3.0267 | LR: 4.88e-04 | 2482.2ms/step | 9.7 samples/s
|
| 339 |
+
Step 2240/20005 | Loss: 3.0273 | LR: 4.88e-04 | 2480.1ms/step | 9.7 samples/s
|
| 340 |
+
Step 2250/20005 | Loss: 3.1010 | LR: 4.87e-04 | 2484.6ms/step | 9.7 samples/s
|
| 341 |
+
Validation at step 2250: Loss = 3.0659, Perplexity = 21.45
|
| 342 |
+
Step 2260/20005 | Loss: 3.0495 | LR: 4.87e-04 | 20211.6ms/step | 1.2 samples/s
|
| 343 |
+
Step 2270/20005 | Loss: 3.0487 | LR: 4.87e-04 | 2485.8ms/step | 9.7 samples/s
|
| 344 |
+
Step 2280/20005 | Loss: 3.0875 | LR: 4.87e-04 | 2485.9ms/step | 9.7 samples/s
|
| 345 |
+
Step 2290/20005 | Loss: 3.0081 | LR: 4.87e-04 | 2482.6ms/step | 9.7 samples/s
|
| 346 |
+
Step 2300/20005 | Loss: 3.0695 | LR: 4.87e-04 | 2485.7ms/step | 9.7 samples/s
|
| 347 |
+
Step 2310/20005 | Loss: 3.0367 | LR: 4.87e-04 | 2482.3ms/step | 9.7 samples/s
|
| 348 |
+
Step 2320/20005 | Loss: 2.9226 | LR: 4.87e-04 | 2481.8ms/step | 9.7 samples/s
|
| 349 |
+
Step 2330/20005 | Loss: 3.0387 | LR: 4.86e-04 | 2482.7ms/step | 9.7 samples/s
|
| 350 |
+
Step 2340/20005 | Loss: 3.0105 | LR: 4.86e-04 | 2484.5ms/step | 9.7 samples/s
|
| 351 |
+
Step 2350/20005 | Loss: 3.0209 | LR: 4.86e-04 | 2486.6ms/step | 9.7 samples/s
|
| 352 |
+
Step 2360/20005 | Loss: 3.0097 | LR: 4.86e-04 | 2490.4ms/step | 9.6 samples/s
|
| 353 |
+
Step 2370/20005 | Loss: 3.0632 | LR: 4.86e-04 | 2485.8ms/step | 9.7 samples/s
|
| 354 |
+
Step 2380/20005 | Loss: 3.0618 | LR: 4.86e-04 | 2485.3ms/step | 9.7 samples/s
|
| 355 |
+
Step 2390/20005 | Loss: 3.0674 | LR: 4.86e-04 | 2488.0ms/step | 9.6 samples/s
|
| 356 |
+
Step 2400/20005 | Loss: 3.0802 | LR: 4.86e-04 | 2485.4ms/step | 9.7 samples/s
|
| 357 |
+
Step 2410/20005 | Loss: 2.9627 | LR: 4.85e-04 | 2487.1ms/step | 9.6 samples/s
|
| 358 |
+
Step 2420/20005 | Loss: 3.0272 | LR: 4.85e-04 | 2485.9ms/step | 9.7 samples/s
|
| 359 |
+
Step 2430/20005 | Loss: 3.0372 | LR: 4.85e-04 | 2486.8ms/step | 9.7 samples/s
|
| 360 |
+
Step 2440/20005 | Loss: 3.1485 | LR: 4.85e-04 | 2483.2ms/step | 9.7 samples/s
|
| 361 |
+
Step 2450/20005 | Loss: 3.0323 | LR: 4.85e-04 | 2483.8ms/step | 9.7 samples/s
|
| 362 |
+
Step 2460/20005 | Loss: 2.9436 | LR: 4.85e-04 | 2484.7ms/step | 9.7 samples/s
|
| 363 |
+
Step 2470/20005 | Loss: 2.9838 | LR: 4.85e-04 | 2485.8ms/step | 9.7 samples/s
|
| 364 |
+
Step 2480/20005 | Loss: 3.0096 | LR: 4.84e-04 | 2485.2ms/step | 9.7 samples/s
|
| 365 |
+
Step 2490/20005 | Loss: 3.0263 | LR: 4.84e-04 | 2483.6ms/step | 9.7 samples/s
|
| 366 |
+
Step 2500/20005 | Loss: 3.0297 | LR: 4.84e-04 | 2486.2ms/step | 9.7 samples/s
|
| 367 |
+
Validation at step 2500: Loss = 3.0174, Perplexity = 20.44
|
| 368 |
+
Step 2510/20005 | Loss: 3.0233 | LR: 4.84e-04 | 20150.6ms/step | 1.2 samples/s
|
| 369 |
+
Step 2520/20005 | Loss: 2.9520 | LR: 4.84e-04 | 2486.3ms/step | 9.7 samples/s
|
| 370 |
+
Step 2530/20005 | Loss: 2.9792 | LR: 4.84e-04 | 2487.3ms/step | 9.6 samples/s
|
| 371 |
+
Step 2540/20005 | Loss: 3.0410 | LR: 4.84e-04 | 2481.8ms/step | 9.7 samples/s
|
| 372 |
+
Step 2550/20005 | Loss: 3.0117 | LR: 4.83e-04 | 2483.7ms/step | 9.7 samples/s
|
| 373 |
+
Step 2560/20005 | Loss: 2.9952 | LR: 4.83e-04 | 2482.3ms/step | 9.7 samples/s
|
| 374 |
+
Step 2570/20005 | Loss: 3.0182 | LR: 4.83e-04 | 2486.8ms/step | 9.7 samples/s
|
| 375 |
+
Step 2580/20005 | Loss: 2.9531 | LR: 4.83e-04 | 2484.5ms/step | 9.7 samples/s
|
| 376 |
+
Step 2590/20005 | Loss: 3.0715 | LR: 4.83e-04 | 2483.8ms/step | 9.7 samples/s
|
| 377 |
+
Step 2600/20005 | Loss: 2.9748 | LR: 4.83e-04 | 2486.1ms/step | 9.7 samples/s
|
| 378 |
+
Step 2610/20005 | Loss: 2.9719 | LR: 4.83e-04 | 2484.1ms/step | 9.7 samples/s
|
| 379 |
+
Step 2620/20005 | Loss: 3.0272 | LR: 4.82e-04 | 2641.3ms/step | 9.1 samples/s
|
| 380 |
+
Step 2630/20005 | Loss: 2.9623 | LR: 4.82e-04 | 2483.6ms/step | 9.7 samples/s
|
| 381 |
+
Step 2640/20005 | Loss: 2.9279 | LR: 4.82e-04 | 2487.8ms/step | 9.6 samples/s
|
| 382 |
+
Step 2650/20005 | Loss: 3.0301 | LR: 4.82e-04 | 2486.4ms/step | 9.7 samples/s
|
| 383 |
+
Step 2660/20005 | Loss: 2.9855 | LR: 4.82e-04 | 2485.6ms/step | 9.7 samples/s
|
| 384 |
+
Step 2670/20005 | Loss: 2.9391 | LR: 4.82e-04 | 2484.7ms/step | 9.7 samples/s
|
| 385 |
+
Step 2680/20005 | Loss: 2.9792 | LR: 4.82e-04 | 2491.4ms/step | 9.6 samples/s
|
| 386 |
+
Step 2690/20005 | Loss: 2.9522 | LR: 4.81e-04 | 2489.8ms/step | 9.6 samples/s
|
| 387 |
+
Step 2700/20005 | Loss: 2.9745 | LR: 4.81e-04 | 2487.5ms/step | 9.6 samples/s
|
| 388 |
+
Step 2710/20005 | Loss: 2.9118 | LR: 4.81e-04 | 2491.0ms/step | 9.6 samples/s
|
| 389 |
+
Step 2720/20005 | Loss: 2.9993 | LR: 4.81e-04 | 2478.8ms/step | 9.7 samples/s
|
| 390 |
+
Step 2730/20005 | Loss: 3.0726 | LR: 4.81e-04 | 2481.5ms/step | 9.7 samples/s
|
| 391 |
+
Step 2740/20005 | Loss: 2.9389 | LR: 4.81e-04 | 2486.7ms/step | 9.7 samples/s
|
| 392 |
+
Step 2750/20005 | Loss: 2.9551 | LR: 4.81e-04 | 2489.4ms/step | 9.6 samples/s
|
| 393 |
+
Validation at step 2750: Loss = 2.9700, Perplexity = 19.49
|
| 394 |
+
Step 2760/20005 | Loss: 2.9470 | LR: 4.80e-04 | 20153.4ms/step | 1.2 samples/s
|
| 395 |
+
Step 2770/20005 | Loss: 3.0599 | LR: 4.80e-04 | 2489.6ms/step | 9.6 samples/s
|
| 396 |
+
Step 2780/20005 | Loss: 2.9620 | LR: 4.80e-04 | 2484.6ms/step | 9.7 samples/s
|
| 397 |
+
Step 2790/20005 | Loss: 3.0053 | LR: 4.80e-04 | 2482.9ms/step | 9.7 samples/s
|
| 398 |
+
Step 2800/20005 | Loss: 2.9547 | LR: 4.80e-04 | 2484.7ms/step | 9.7 samples/s
|
| 399 |
+
Step 2810/20005 | Loss: 2.9998 | LR: 4.80e-04 | 2487.3ms/step | 9.6 samples/s
|
| 400 |
+
Step 2820/20005 | Loss: 3.0059 | LR: 4.79e-04 | 2488.8ms/step | 9.6 samples/s
|
| 401 |
+
Step 2830/20005 | Loss: 2.8953 | LR: 4.79e-04 | 2482.8ms/step | 9.7 samples/s
|
| 402 |
+
Step 2840/20005 | Loss: 2.9341 | LR: 4.79e-04 | 2487.6ms/step | 9.6 samples/s
|
| 403 |
+
Step 2850/20005 | Loss: 2.8997 | LR: 4.79e-04 | 2486.9ms/step | 9.7 samples/s
|
| 404 |
+
Step 2860/20005 | Loss: 2.8518 | LR: 4.79e-04 | 2486.5ms/step | 9.7 samples/s
|
| 405 |
+
Step 2870/20005 | Loss: 3.0818 | LR: 4.79e-04 | 2485.5ms/step | 9.7 samples/s
|
| 406 |
+
Step 2880/20005 | Loss: 2.9127 | LR: 4.78e-04 | 2482.8ms/step | 9.7 samples/s
|
| 407 |
+
Step 2890/20005 | Loss: 2.8781 | LR: 4.78e-04 | 2483.6ms/step | 9.7 samples/s
|
| 408 |
+
Step 2900/20005 | Loss: 2.9468 | LR: 4.78e-04 | 2484.3ms/step | 9.7 samples/s
|
| 409 |
+
Step 2910/20005 | Loss: 2.8944 | LR: 4.78e-04 | 2485.6ms/step | 9.7 samples/s
|
| 410 |
+
Step 2920/20005 | Loss: 2.9003 | LR: 4.78e-04 | 2487.8ms/step | 9.6 samples/s
|
| 411 |
+
Step 2930/20005 | Loss: 2.9508 | LR: 4.78e-04 | 2487.2ms/step | 9.6 samples/s
|
| 412 |
+
Step 2940/20005 | Loss: 2.9581 | LR: 4.77e-04 | 2484.5ms/step | 9.7 samples/s
|
| 413 |
+
Step 2950/20005 | Loss: 2.8649 | LR: 4.77e-04 | 2485.0ms/step | 9.7 samples/s
|
| 414 |
+
Step 2960/20005 | Loss: 2.9527 | LR: 4.77e-04 | 2488.1ms/step | 9.6 samples/s
|
| 415 |
+
Step 2970/20005 | Loss: 2.9560 | LR: 4.77e-04 | 2487.6ms/step | 9.6 samples/s
|
| 416 |
+
Step 2980/20005 | Loss: 2.9454 | LR: 4.77e-04 | 2485.0ms/step | 9.7 samples/s
|
| 417 |
+
Step 2990/20005 | Loss: 2.9172 | LR: 4.77e-04 | 2483.9ms/step | 9.7 samples/s
|
| 418 |
+
Step 3000/20005 | Loss: 2.8768 | LR: 4.76e-04 | 2483.7ms/step | 9.7 samples/s
|
| 419 |
+
Validation at step 3000: Loss = 2.9385, Perplexity = 18.89
|
| 420 |
+
Step 3010/20005 | Loss: 2.9027 | LR: 4.76e-04 | 20163.4ms/step | 1.2 samples/s
|
| 421 |
+
Step 3020/20005 | Loss: 2.8841 | LR: 4.76e-04 | 2490.1ms/step | 9.6 samples/s
|
| 422 |
+
Step 3030/20005 | Loss: 2.8952 | LR: 4.76e-04 | 2490.2ms/step | 9.6 samples/s
|
| 423 |
+
Step 3040/20005 | Loss: 2.9458 | LR: 4.76e-04 | 2486.3ms/step | 9.7 samples/s
|
| 424 |
+
Step 3050/20005 | Loss: 3.0163 | LR: 4.76e-04 | 2488.3ms/step | 9.6 samples/s
|
| 425 |
+
Step 3060/20005 | Loss: 2.8302 | LR: 4.75e-04 | 2483.8ms/step | 9.7 samples/s
|
| 426 |
+
Step 3070/20005 | Loss: 2.9645 | LR: 4.75e-04 | 2485.0ms/step | 9.7 samples/s
|
| 427 |
+
Step 3080/20005 | Loss: 2.8695 | LR: 4.75e-04 | 2486.8ms/step | 9.7 samples/s
|
| 428 |
+
Step 3090/20005 | Loss: 2.9766 | LR: 4.75e-04 | 2487.1ms/step | 9.6 samples/s
|
| 429 |
+
Step 3100/20005 | Loss: 2.9351 | LR: 4.75e-04 | 2488.3ms/step | 9.6 samples/s
|
| 430 |
+
Step 3110/20005 | Loss: 2.8867 | LR: 4.75e-04 | 2489.0ms/step | 9.6 samples/s
|
| 431 |
+
Step 3120/20005 | Loss: 2.9147 | LR: 4.74e-04 | 2486.7ms/step | 9.7 samples/s
|
| 432 |
+
Step 3130/20005 | Loss: 2.9249 | LR: 4.74e-04 | 2489.3ms/step | 9.6 samples/s
|
| 433 |
+
Step 3140/20005 | Loss: 2.9412 | LR: 4.74e-04 | 2487.1ms/step | 9.6 samples/s
|
| 434 |
+
Step 3150/20005 | Loss: 2.9122 | LR: 4.74e-04 | 2490.4ms/step | 9.6 samples/s
|
| 435 |
+
Step 3160/20005 | Loss: 2.9904 | LR: 4.74e-04 | 2489.2ms/step | 9.6 samples/s
|
| 436 |
+
Step 3170/20005 | Loss: 2.8860 | LR: 4.74e-04 | 2483.5ms/step | 9.7 samples/s
|
| 437 |
+
Step 3180/20005 | Loss: 2.8189 | LR: 4.73e-04 | 2489.9ms/step | 9.6 samples/s
|
| 438 |
+
Step 3190/20005 | Loss: 2.8932 | LR: 4.73e-04 | 2487.6ms/step | 9.6 samples/s
|
| 439 |
+
Step 3200/20005 | Loss: 2.9586 | LR: 4.73e-04 | 2482.2ms/step | 9.7 samples/s
|
| 440 |
+
Step 3210/20005 | Loss: 2.7848 | LR: 4.73e-04 | 2484.2ms/step | 9.7 samples/s
|
| 441 |
+
Step 3220/20005 | Loss: 2.8996 | LR: 4.73e-04 | 2485.9ms/step | 9.7 samples/s
|
| 442 |
+
Step 3230/20005 | Loss: 2.9051 | LR: 4.72e-04 | 2486.1ms/step | 9.7 samples/s
|
| 443 |
+
Step 3240/20005 | Loss: 2.8546 | LR: 4.72e-04 | 2484.9ms/step | 9.7 samples/s
|
| 444 |
+
Step 3250/20005 | Loss: 2.8317 | LR: 4.72e-04 | 2481.8ms/step | 9.7 samples/s
|
| 445 |
+
Validation at step 3250: Loss = 2.8979, Perplexity = 18.14
|
| 446 |
+
Step 3260/20005 | Loss: 2.8391 | LR: 4.72e-04 | 20153.4ms/step | 1.2 samples/s
|
| 447 |
+
Step 3270/20005 | Loss: 2.8688 | LR: 4.72e-04 | 2487.9ms/step | 9.6 samples/s
|
| 448 |
+
Step 3280/20005 | Loss: 2.8271 | LR: 4.72e-04 | 2486.2ms/step | 9.7 samples/s
|
| 449 |
+
Step 3290/20005 | Loss: 2.8906 | LR: 4.71e-04 | 2486.1ms/step | 9.7 samples/s
|
| 450 |
+
Step 3300/20005 | Loss: 2.8870 | LR: 4.71e-04 | 2486.2ms/step | 9.7 samples/s
|
| 451 |
+
Step 3310/20005 | Loss: 2.8872 | LR: 4.71e-04 | 2486.1ms/step | 9.7 samples/s
|
| 452 |
+
Step 3320/20005 | Loss: 2.8777 | LR: 4.71e-04 | 2485.0ms/step | 9.7 samples/s
|
| 453 |
+
Step 3330/20005 | Loss: 2.9292 | LR: 4.71e-04 | 2482.9ms/step | 9.7 samples/s
|
| 454 |
+
Step 3340/20005 | Loss: 2.9075 | LR: 4.70e-04 | 2486.3ms/step | 9.7 samples/s
|
| 455 |
+
Step 3350/20005 | Loss: 2.8418 | LR: 4.70e-04 | 2485.6ms/step | 9.7 samples/s
|
| 456 |
+
Step 3360/20005 | Loss: 2.8374 | LR: 4.70e-04 | 2485.8ms/step | 9.7 samples/s
|
| 457 |
+
Step 3370/20005 | Loss: 2.8806 | LR: 4.70e-04 | 2486.6ms/step | 9.7 samples/s
|
| 458 |
+
Step 3380/20005 | Loss: 2.8556 | LR: 4.70e-04 | 2486.1ms/step | 9.7 samples/s
|
| 459 |
+
Step 3390/20005 | Loss: 2.8850 | LR: 4.69e-04 | 2483.9ms/step | 9.7 samples/s
|
| 460 |
+
Step 3400/20005 | Loss: 2.7990 | LR: 4.69e-04 | 2487.9ms/step | 9.6 samples/s
|
| 461 |
+
Step 3410/20005 | Loss: 2.8183 | LR: 4.69e-04 | 2488.4ms/step | 9.6 samples/s
|
| 462 |
+
Step 3420/20005 | Loss: 2.8690 | LR: 4.69e-04 | 2585.4ms/step | 9.3 samples/s
|
| 463 |
+
Step 3430/20005 | Loss: 2.9224 | LR: 4.69e-04 | 2487.0ms/step | 9.7 samples/s
|
| 464 |
+
Step 3440/20005 | Loss: 2.8586 | LR: 4.69e-04 | 2490.0ms/step | 9.6 samples/s
|
| 465 |
+
Step 3450/20005 | Loss: 2.8856 | LR: 4.68e-04 | 2487.9ms/step | 9.6 samples/s
|
| 466 |
+
Step 3460/20005 | Loss: 2.8790 | LR: 4.68e-04 | 2486.1ms/step | 9.7 samples/s
|
| 467 |
+
Step 3470/20005 | Loss: 2.9077 | LR: 4.68e-04 | 2487.2ms/step | 9.6 samples/s
|
| 468 |
+
Step 3480/20005 | Loss: 2.8669 | LR: 4.68e-04 | 2487.2ms/step | 9.6 samples/s
|
| 469 |
+
Step 3490/20005 | Loss: 2.8640 | LR: 4.68e-04 | 2488.6ms/step | 9.6 samples/s
|
| 470 |
+
Step 3500/20005 | Loss: 2.7557 | LR: 4.67e-04 | 2491.2ms/step | 9.6 samples/s
|
| 471 |
+
Validation at step 3500: Loss = 2.8650, Perplexity = 17.55
|
| 472 |
+
Step 3510/20005 | Loss: 2.9039 | LR: 4.67e-04 | 20195.0ms/step | 1.2 samples/s
|
| 473 |
+
Step 3520/20005 | Loss: 2.8394 | LR: 4.67e-04 | 2491.3ms/step | 9.6 samples/s
|
| 474 |
+
Step 3530/20005 | Loss: 2.7960 | LR: 4.67e-04 | 2486.9ms/step | 9.7 samples/s
|
| 475 |
+
Step 3540/20005 | Loss: 2.8816 | LR: 4.67e-04 | 2486.8ms/step | 9.7 samples/s
|
| 476 |
+
Step 3550/20005 | Loss: 2.8719 | LR: 4.66e-04 | 2488.1ms/step | 9.6 samples/s
|
| 477 |
+
Step 3560/20005 | Loss: 2.7991 | LR: 4.66e-04 | 2488.5ms/step | 9.6 samples/s
|
| 478 |
+
Step 3570/20005 | Loss: 2.8148 | LR: 4.66e-04 | 2486.1ms/step | 9.7 samples/s
|
| 479 |
+
Step 3580/20005 | Loss: 2.7765 | LR: 4.66e-04 | 2488.7ms/step | 9.6 samples/s
|
| 480 |
+
Step 3590/20005 | Loss: 2.8594 | LR: 4.66e-04 | 2487.3ms/step | 9.6 samples/s
|
| 481 |
+
Step 3600/20005 | Loss: 2.8868 | LR: 4.65e-04 | 2487.5ms/step | 9.6 samples/s
|
| 482 |
+
Step 3610/20005 | Loss: 2.9076 | LR: 4.65e-04 | 2485.3ms/step | 9.7 samples/s
|
| 483 |
+
Step 3620/20005 | Loss: 2.8390 | LR: 4.65e-04 | 2490.2ms/step | 9.6 samples/s
|
| 484 |
+
Step 3630/20005 | Loss: 2.9418 | LR: 4.65e-04 | 2489.0ms/step | 9.6 samples/s
|
| 485 |
+
Step 3640/20005 | Loss: 2.8458 | LR: 4.65e-04 | 2488.1ms/step | 9.6 samples/s
|
| 486 |
+
Step 3650/20005 | Loss: 2.9035 | LR: 4.64e-04 | 2487.4ms/step | 9.6 samples/s
|
| 487 |
+
Step 3660/20005 | Loss: 2.8621 | LR: 4.64e-04 | 2486.7ms/step | 9.7 samples/s
|
| 488 |
+
Step 3670/20005 | Loss: 2.8240 | LR: 4.64e-04 | 2487.5ms/step | 9.6 samples/s
|
| 489 |
+
Step 3680/20005 | Loss: 2.7992 | LR: 4.64e-04 | 2486.5ms/step | 9.7 samples/s
|
| 490 |
+
Step 3690/20005 | Loss: 2.8206 | LR: 4.64e-04 | 2487.2ms/step | 9.6 samples/s
|
| 491 |
+
Step 3700/20005 | Loss: 2.9252 | LR: 4.63e-04 | 2488.6ms/step | 9.6 samples/s
|
| 492 |
+
Step 3710/20005 | Loss: 2.8458 | LR: 4.63e-04 | 2487.8ms/step | 9.6 samples/s
|
| 493 |
+
Step 3720/20005 | Loss: 2.7925 | LR: 4.63e-04 | 2486.8ms/step | 9.7 samples/s
|
| 494 |
+
Step 3730/20005 | Loss: 2.7895 | LR: 4.63e-04 | 2486.2ms/step | 9.7 samples/s
|
| 495 |
+
Step 3740/20005 | Loss: 2.8958 | LR: 4.62e-04 | 2486.5ms/step | 9.7 samples/s
|
| 496 |
+
Step 3750/20005 | Loss: 2.7859 | LR: 4.62e-04 | 2487.0ms/step | 9.7 samples/s
|
epfl_final/wandb/run-20260506_173734-nmzybrc7/files/requirements.txt
ADDED
|
@@ -0,0 +1,97 @@
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|
| 1 |
+
pytz==2026.2
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.6.3
|
| 8 |
+
tzdata==2026.2
|
| 9 |
+
typing_extensions==4.15.0
|
| 10 |
+
triton==3.6.0
|
| 11 |
+
tqdm==4.67.3
|
| 12 |
+
torchinfo==1.8.0
|
| 13 |
+
sympy==1.14.0
|
| 14 |
+
smmap==5.0.3
|
| 15 |
+
six==1.17.0
|
| 16 |
+
shellingham==1.5.4
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.4.4
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.4.1
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.2.6
|
| 38 |
+
networkx==3.4.2
|
| 39 |
+
mdurl==0.1.2
|
| 40 |
+
MarkupSafe==3.0.3
|
| 41 |
+
idna==3.13
|
| 42 |
+
hf-xet==1.5.0
|
| 43 |
+
h11==0.16.0
|
| 44 |
+
fsspec==2026.2.0
|
| 45 |
+
frozenlist==1.8.0
|
| 46 |
+
filelock==3.29.0
|
| 47 |
+
dill==0.4.1
|
| 48 |
+
cuda-pathfinder==1.5.4
|
| 49 |
+
click==8.3.3
|
| 50 |
+
charset-normalizer==3.4.7
|
| 51 |
+
certifi==2026.4.22
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
async-timeout==5.0.1
|
| 54 |
+
annotated-types==0.7.0
|
| 55 |
+
annotated-doc==0.0.4
|
| 56 |
+
aiohappyeyeballs==2.6.1
|
| 57 |
+
typing-inspection==0.4.2
|
| 58 |
+
sentry-sdk==2.59.0
|
| 59 |
+
requests==2.33.1
|
| 60 |
+
python-dateutil==2.9.0.post0
|
| 61 |
+
pydantic_core==2.46.4
|
| 62 |
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nvidia-cusparse==12.6.3.3
|
| 63 |
+
nvidia-cufft==12.0.0.61
|
| 64 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 65 |
+
multiprocess==0.70.19
|
| 66 |
+
multidict==6.7.1
|
| 67 |
+
markdown-it-py==4.1.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
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httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
exceptiongroup==1.3.1
|
| 72 |
+
cuda-bindings==13.2.0
|
| 73 |
+
aiosignal==1.4.0
|
| 74 |
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yarl==1.23.0
|
| 75 |
+
rich==15.0.0
|
| 76 |
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pydantic==2.13.4
|
| 77 |
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pandas==2.3.3
|
| 78 |
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nvidia-cusolver==12.0.4.66
|
| 79 |
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GitPython==3.1.50
|
| 80 |
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anyio==4.13.0
|
| 81 |
+
wandb==0.26.1
|
| 82 |
+
typer==0.25.1
|
| 83 |
+
httpx==0.28.1
|
| 84 |
+
aiohttp==3.13.5
|
| 85 |
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torch==2.11.0
|
| 86 |
+
huggingface_hub==1.14.0
|
| 87 |
+
tokenizers==0.22.2
|
| 88 |
+
datasets==4.8.5
|
| 89 |
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accelerate==1.13.0
|
| 90 |
+
transformers==5.8.0
|
| 91 |
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PyGObject==3.42.1
|
| 92 |
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dbus-python==1.2.18
|
| 93 |
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distro==1.7.0
|
| 94 |
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pip==22.0.2
|
| 95 |
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setuptools==59.6.0
|
| 96 |
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ssh-import-id==5.11
|
| 97 |
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wheel==0.37.1
|
epfl_final/wandb/run-20260506_173734-nmzybrc7/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,36 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-59-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
+
"startedAt": "2026-05-06T17:37:34.812193Z",
|
| 5 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 6 |
+
"codePath": "SparseAtt/train.py",
|
| 7 |
+
"codePathLocal": "SparseAtt/train.py",
|
| 8 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 9 |
+
"root": "/mloscratch/homes/navasard/sparse",
|
| 10 |
+
"host": "h100-workspace-6-0-5",
|
| 11 |
+
"executable": "/usr/bin/python3",
|
| 12 |
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"cpu_count": 96,
|
| 13 |
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"cpu_count_logical": 192,
|
| 14 |
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"gpu": "NVIDIA H100 80GB HBM3",
|
| 15 |
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"gpu_count": 1,
|
| 16 |
+
"disk": {
|
| 17 |
+
"/": {
|
| 18 |
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"total": "9374931091456",
|
| 19 |
+
"used": "6703238864896"
|
| 20 |
+
}
|
| 21 |
+
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|
| 22 |
+
"memory": {
|
| 23 |
+
"total": "1623005741056"
|
| 24 |
+
},
|
| 25 |
+
"gpu_nvidia": [
|
| 26 |
+
{
|
| 27 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 28 |
+
"memoryTotal": "85520809984",
|
| 29 |
+
"cudaCores": 16896,
|
| 30 |
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"architecture": "Hopper",
|
| 31 |
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"uuid": "GPU-5cb9f8b7-4a13-4f85-d73e-6bcbebebefb8"
|
| 32 |
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}
|
| 33 |
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],
|
| 34 |
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"cudaVersion": "13.0",
|
| 35 |
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"writerId": "r2idnc2nhy1o898ozhpgg24vyxnymq1c"
|
| 36 |
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}
|
epfl_final/wandb/run-20260506_173734-nmzybrc7/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
|
epfl_final/wandb/run-20260506_173734-nmzybrc7/logs/debug.log
ADDED
|
@@ -0,0 +1,19 @@
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|
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|
|
|
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|
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|
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|
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|
| 1 |
+
2026-05-06 17:37:34,827 INFO MainThread:5753 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
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2026-05-06 17:37:34,827 INFO MainThread:5753 [wandb_setup.py:_flush():81] Configure stats pid to 5753
|
| 3 |
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2026-05-06 17:37:34,828 INFO MainThread:5753 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
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2026-05-06 17:37:34,829 INFO MainThread:5753 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/wandb/run-20260506_173734-nmzybrc7/logs/debug.log
|
| 5 |
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2026-05-06 17:37:34,829 INFO MainThread:5753 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/wandb/run-20260506_173734-nmzybrc7/logs/debug-internal.log
|
| 6 |
+
2026-05-06 17:37:34,830 INFO MainThread:5753 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-05-06 17:37:34,830 INFO MainThread:5753 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/the_pile_train/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': './checkpoints/run_20260506_171628', 'resume_from_checkpoint': None, 'num_epochs': 1, 'max_steps': 20005, 'per_device_batch_size': 3, 'gradient_accumulation_steps': 8, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 250, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 2000, 'eval_steps': 250, 'eval_batches': 200, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': None, 'wandb_tags': ['qwen3', '0.6b'], 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 20, 'sparse_mask_pool_size': 1000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, '_wandb': {}}
|
| 9 |
+
2026-05-06 17:37:34,831 INFO MainThread:5753 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-05-06 17:37:35,048 INFO MainThread:5753 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
+
2026-05-06 17:37:35,985 INFO MainThread:5753 [wandb_init.py:init():918] backend started and connected
|
| 12 |
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2026-05-06 17:37:35,987 INFO MainThread:5753 [wandb_init.py:init():988] updated telemetry
|
| 13 |
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2026-05-06 17:37:35,988 INFO MainThread:5753 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-05-06 17:37:36,623 INFO MainThread:5753 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
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2026-05-06 17:37:36,695 INFO MainThread:5753 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
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2026-05-06 17:37:36,695 INFO MainThread:5753 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
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2026-05-06 17:37:36,696 INFO MainThread:5753 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
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2026-05-06 17:37:36,697 INFO MainThread:5753 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-05-06 17:37:36,699 INFO MainThread:5753 [wandb_init.py:init():1094] run started, returning control to user process
|
epfl_final/wandb/run-20260506_173734-nmzybrc7/run-nmzybrc7.wandb
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:cbf3a13c8fd1c19cd8cab2e86b440c960baf0468fd5f5322ee96237f5f288bd2
|
| 3 |
+
size 1966080
|
epfl_final/wandb/run-20260506_200450-z06f2580/files/output.log
ADDED
|
@@ -0,0 +1,1045 @@
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|
| 1 |
+
|
| 2 |
+
|
| 3 |
+
================================================================================
|
| 4 |
+
MODEL ARCHITECTURE
|
| 5 |
+
================================================================================
|
| 6 |
+
Model config:
|
| 7 |
+
vocab_size: 151936
|
| 8 |
+
hidden_size: 1024
|
| 9 |
+
num_hidden_layers: 28
|
| 10 |
+
num_attention_heads: 16
|
| 11 |
+
num_key_value_heads: 8
|
| 12 |
+
head_dim: 128
|
| 13 |
+
intermediate_size: 3072
|
| 14 |
+
max_position_embeddings: 32768
|
| 15 |
+
rope_theta: 1000000
|
| 16 |
+
attention_type: sparse_stochastic
|
| 17 |
+
sparse_block_size: 128
|
| 18 |
+
sparse_num_random_blocks: 31
|
| 19 |
+
sparse_mask_pool_size: 1000
|
| 20 |
+
sparse_max_seq_length: 8192
|
| 21 |
+
|
| 22 |
+
Parameter count:
|
| 23 |
+
Total parameters: 596,049,920
|
| 24 |
+
Trainable parameters: 596,049,920
|
| 25 |
+
Non-trainable parameters: 0
|
| 26 |
+
Model size (BF16): 1.19 GB
|
| 27 |
+
|
| 28 |
+
--------------------------------------------------------------------------------
|
| 29 |
+
LAYER-BY-LAYER SUMMARY
|
| 30 |
+
--------------------------------------------------------------------------------
|
| 31 |
+
/home/navasard/.local/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1704: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel.
|
| 32 |
+
|
| 33 |
+
SOLUTION: Use torch.compile(flex_attention)(...)
|
| 34 |
+
|
| 35 |
+
If you want to debug your score_mod/mask_mod, you can set:
|
| 36 |
+
torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True
|
| 37 |
+
|
| 38 |
+
This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results.
|
| 39 |
+
_warn_once(
|
| 40 |
+
================================================================================================================================================================
|
| 41 |
+
Layer (type:depth-idx) Input Shape Output Shape Param # Trainable
|
| 42 |
+
================================================================================================================================================================
|
| 43 |
+
Qwen3ForCausalLM [3, 8192] -- -- True
|
| 44 |
+
├─Qwen3Model: 1-1 -- [3, 8192, 1024] -- True
|
| 45 |
+
│ └─Embedding: 2-1 [3, 8192] [3, 8192, 1024] 155,582,464 True
|
| 46 |
+
│ └─ModuleList: 2-2 -- -- -- True
|
| 47 |
+
│ │ └─Qwen3DecoderLayer: 3-1 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 48 |
+
│ │ └─Qwen3DecoderLayer: 3-2 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 49 |
+
│ │ └─Qwen3DecoderLayer: 3-3 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 50 |
+
│ │ └─Qwen3DecoderLayer: 3-4 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 51 |
+
│ │ └─Qwen3DecoderLayer: 3-5 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 52 |
+
│ │ └─Qwen3DecoderLayer: 3-6 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 53 |
+
│ │ └─Qwen3DecoderLayer: 3-7 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 54 |
+
│ │ └─Qwen3DecoderLayer: 3-8 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 55 |
+
│ │ └─Qwen3DecoderLayer: 3-9 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 56 |
+
│ │ └─Qwen3DecoderLayer: 3-10 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 57 |
+
│ │ └─Qwen3DecoderLayer: 3-11 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 58 |
+
│ │ └─Qwen3DecoderLayer: 3-12 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 59 |
+
│ │ └─Qwen3DecoderLayer: 3-13 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 60 |
+
│ │ └─Qwen3DecoderLayer: 3-14 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 61 |
+
│ │ └─Qwen3DecoderLayer: 3-15 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 62 |
+
│ │ └─Qwen3DecoderLayer: 3-16 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 63 |
+
│ │ └─Qwen3DecoderLayer: 3-17 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 64 |
+
│ │ └─Qwen3DecoderLayer: 3-18 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 65 |
+
│ │ └─Qwen3DecoderLayer: 3-19 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 66 |
+
│ │ └─Qwen3DecoderLayer: 3-20 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 67 |
+
│ │ └─Qwen3DecoderLayer: 3-21 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 68 |
+
│ │ └─Qwen3DecoderLayer: 3-22 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 69 |
+
│ │ └─Qwen3DecoderLayer: 3-23 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 70 |
+
│ │ └─Qwen3DecoderLayer: 3-24 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 71 |
+
│ │ └─Qwen3DecoderLayer: 3-25 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 72 |
+
│ │ └─Qwen3DecoderLayer: 3-26 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 73 |
+
│ │ └─Qwen3DecoderLayer: 3-27 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 74 |
+
│ │ └─Qwen3DecoderLayer: 3-28 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 75 |
+
│ └─Qwen3RMSNorm: 2-3 [3, 8192, 1024] [3, 8192, 1024] 1,024 True
|
| 76 |
+
├─Linear: 1-2 [3, 8192, 1024] [3, 8192, 151936] 155,582,464 True
|
| 77 |
+
================================================================================================================================================================
|
| 78 |
+
Total params: 751,632,384
|
| 79 |
+
Trainable params: 751,632,384
|
| 80 |
+
Non-trainable params: 0
|
| 81 |
+
Total mult-adds (G): 2.25
|
| 82 |
+
================================================================================================================================================================
|
| 83 |
+
Input size (MB): 0.20
|
| 84 |
+
Forward/backward pass size (MB): 63052.97
|
| 85 |
+
Params size (MB): 1503.26
|
| 86 |
+
Estimated Total Size (MB): 64556.43
|
| 87 |
+
================================================================================================================================================================
|
| 88 |
+
================================================================================
|
| 89 |
+
|
| 90 |
+
Loading dataset from /mloscratch/homes/navasard/data/the_pile_train/tokenized...
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| 91 |
+
Using pre-tokenized dataset (no runtime tokenization)
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| 92 |
+
Loading pre-tokenized HF dataset from /mloscratch/homes/navasard/data/the_pile_train/tokenized...
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| 93 |
+
Loaded 5315146 pre-tokenized examples (stored_len=2048, pack_factor=4, packed_examples=1328786)
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| 94 |
+
Dataset split: 1063028 train, 265758 validation
|
| 95 |
+
Training examples (packed, train split): 1063028
|
| 96 |
+
Validation examples (packed, val split): 265758
|
| 97 |
+
Per-device batch size: 3
|
| 98 |
+
World size (GPUs): 1
|
| 99 |
+
Gradient accumulation steps: 8
|
| 100 |
+
Effective batch size (seqs/step): 24
|
| 101 |
+
Sequence length: 8192
|
| 102 |
+
Tokens per optimizer step: 196,608
|
| 103 |
+
Micro-batches per epoch (per rank): 354342
|
| 104 |
+
Optimizer steps per epoch: 44292
|
| 105 |
+
Total optimizer steps: 20005 (capped by max_steps; 0.45 epochs)
|
| 106 |
+
Starting training...
|
| 107 |
+
Step 10/20005 | Loss: 12.0989 | LR: 2.00e-05 | 10410.8ms/step | 2.3 samples/s
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| 108 |
+
Step 20/20005 | Loss: 11.5447 | LR: 4.00e-05 | 2730.6ms/step | 8.8 samples/s
|
| 109 |
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Step 30/20005 | Loss: 10.6770 | LR: 6.00e-05 | 2728.6ms/step | 8.8 samples/s
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| 110 |
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Step 40/20005 | Loss: 10.1986 | LR: 8.00e-05 | 2726.3ms/step | 8.8 samples/s
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| 111 |
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Step 50/20005 | Loss: 9.3747 | LR: 1.00e-04 | 2718.2ms/step | 8.8 samples/s
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Step 60/20005 | Loss: 8.6205 | LR: 1.20e-04 | 2719.9ms/step | 8.8 samples/s
|
| 113 |
+
Step 70/20005 | Loss: 8.0284 | LR: 1.40e-04 | 2724.0ms/step | 8.8 samples/s
|
| 114 |
+
Step 80/20005 | Loss: 7.6163 | LR: 1.60e-04 | 2728.9ms/step | 8.8 samples/s
|
| 115 |
+
Step 90/20005 | Loss: 7.6306 | LR: 1.80e-04 | 2736.0ms/step | 8.8 samples/s
|
| 116 |
+
Step 100/20005 | Loss: 7.3455 | LR: 2.00e-04 | 2738.1ms/step | 8.8 samples/s
|
| 117 |
+
Step 110/20005 | Loss: 7.2508 | LR: 2.20e-04 | 2746.7ms/step | 8.7 samples/s
|
| 118 |
+
Step 120/20005 | Loss: 7.1419 | LR: 2.40e-04 | 2746.8ms/step | 8.7 samples/s
|
| 119 |
+
Step 130/20005 | Loss: 6.9745 | LR: 2.60e-04 | 2748.9ms/step | 8.7 samples/s
|
| 120 |
+
Step 140/20005 | Loss: 6.8496 | LR: 2.80e-04 | 2748.7ms/step | 8.7 samples/s
|
| 121 |
+
Step 150/20005 | Loss: 6.6922 | LR: 3.00e-04 | 2748.5ms/step | 8.7 samples/s
|
| 122 |
+
Step 160/20005 | Loss: 6.5952 | LR: 3.20e-04 | 2750.2ms/step | 8.7 samples/s
|
| 123 |
+
Step 170/20005 | Loss: 6.5753 | LR: 3.40e-04 | 2747.4ms/step | 8.7 samples/s
|
| 124 |
+
Step 180/20005 | Loss: 6.4846 | LR: 3.60e-04 | 2749.7ms/step | 8.7 samples/s
|
| 125 |
+
Step 190/20005 | Loss: 6.2716 | LR: 3.80e-04 | 2750.8ms/step | 8.7 samples/s
|
| 126 |
+
Step 200/20005 | Loss: 6.3449 | LR: 4.00e-04 | 2753.6ms/step | 8.7 samples/s
|
| 127 |
+
Step 210/20005 | Loss: 6.1360 | LR: 4.20e-04 | 2751.2ms/step | 8.7 samples/s
|
| 128 |
+
Step 220/20005 | Loss: 6.1078 | LR: 4.40e-04 | 2752.5ms/step | 8.7 samples/s
|
| 129 |
+
Step 230/20005 | Loss: 6.0445 | LR: 4.60e-04 | 2752.1ms/step | 8.7 samples/s
|
| 130 |
+
Step 240/20005 | Loss: 6.0357 | LR: 4.80e-04 | 2754.3ms/step | 8.7 samples/s
|
| 131 |
+
Step 250/20005 | Loss: 5.9084 | LR: 5.00e-04 | 2751.2ms/step | 8.7 samples/s
|
| 132 |
+
Validation at step 250: Loss = 5.9291, Perplexity = 375.83
|
| 133 |
+
Step 260/20005 | Loss: 5.8606 | LR: 5.00e-04 | 25384.1ms/step | 0.9 samples/s
|
| 134 |
+
Step 270/20005 | Loss: 5.8475 | LR: 5.00e-04 | 2758.6ms/step | 8.7 samples/s
|
| 135 |
+
Step 280/20005 | Loss: 5.8624 | LR: 5.00e-04 | 2758.3ms/step | 8.7 samples/s
|
| 136 |
+
Step 290/20005 | Loss: 5.7226 | LR: 5.00e-04 | 2760.3ms/step | 8.7 samples/s
|
| 137 |
+
Step 300/20005 | Loss: 5.7034 | LR: 5.00e-04 | 2757.5ms/step | 8.7 samples/s
|
| 138 |
+
Step 310/20005 | Loss: 5.6323 | LR: 5.00e-04 | 2758.7ms/step | 8.7 samples/s
|
| 139 |
+
Step 320/20005 | Loss: 5.5215 | LR: 5.00e-04 | 2758.0ms/step | 8.7 samples/s
|
| 140 |
+
Step 330/20005 | Loss: 5.4634 | LR: 5.00e-04 | 2760.2ms/step | 8.7 samples/s
|
| 141 |
+
Step 340/20005 | Loss: 5.2741 | LR: 5.00e-04 | 2762.0ms/step | 8.7 samples/s
|
| 142 |
+
Step 350/20005 | Loss: 5.2777 | LR: 5.00e-04 | 2759.4ms/step | 8.7 samples/s
|
| 143 |
+
Step 360/20005 | Loss: 5.3587 | LR: 5.00e-04 | 2759.2ms/step | 8.7 samples/s
|
| 144 |
+
Step 370/20005 | Loss: 5.1093 | LR: 5.00e-04 | 2766.5ms/step | 8.7 samples/s
|
| 145 |
+
Step 380/20005 | Loss: 5.1675 | LR: 5.00e-04 | 2762.0ms/step | 8.7 samples/s
|
| 146 |
+
Step 390/20005 | Loss: 5.1510 | LR: 5.00e-04 | 2765.5ms/step | 8.7 samples/s
|
| 147 |
+
Step 400/20005 | Loss: 5.0181 | LR: 5.00e-04 | 2763.6ms/step | 8.7 samples/s
|
| 148 |
+
Step 410/20005 | Loss: 5.0407 | LR: 5.00e-04 | 2760.6ms/step | 8.7 samples/s
|
| 149 |
+
Step 420/20005 | Loss: 4.8463 | LR: 5.00e-04 | 2759.6ms/step | 8.7 samples/s
|
| 150 |
+
Step 430/20005 | Loss: 4.9312 | LR: 5.00e-04 | 2757.2ms/step | 8.7 samples/s
|
| 151 |
+
Step 440/20005 | Loss: 4.7367 | LR: 5.00e-04 | 2757.2ms/step | 8.7 samples/s
|
| 152 |
+
Step 450/20005 | Loss: 4.8000 | LR: 5.00e-04 | 2760.0ms/step | 8.7 samples/s
|
| 153 |
+
Step 460/20005 | Loss: 4.7938 | LR: 5.00e-04 | 2764.0ms/step | 8.7 samples/s
|
| 154 |
+
Step 470/20005 | Loss: 4.7001 | LR: 5.00e-04 | 2764.6ms/step | 8.7 samples/s
|
| 155 |
+
Step 480/20005 | Loss: 4.6015 | LR: 5.00e-04 | 2762.7ms/step | 8.7 samples/s
|
| 156 |
+
Step 490/20005 | Loss: 4.5671 | LR: 5.00e-04 | 2762.0ms/step | 8.7 samples/s
|
| 157 |
+
Step 500/20005 | Loss: 4.4572 | LR: 5.00e-04 | 2764.6ms/step | 8.7 samples/s
|
| 158 |
+
Validation at step 500: Loss = 4.5364, Perplexity = 93.35
|
| 159 |
+
Step 510/20005 | Loss: 4.5766 | LR: 5.00e-04 | 21967.2ms/step | 1.1 samples/s
|
| 160 |
+
Step 520/20005 | Loss: 4.4948 | LR: 5.00e-04 | 2759.1ms/step | 8.7 samples/s
|
| 161 |
+
Step 530/20005 | Loss: 4.4216 | LR: 5.00e-04 | 2761.1ms/step | 8.7 samples/s
|
| 162 |
+
Step 540/20005 | Loss: 4.4558 | LR: 5.00e-04 | 2761.3ms/step | 8.7 samples/s
|
| 163 |
+
Step 550/20005 | Loss: 4.3696 | LR: 5.00e-04 | 2761.9ms/step | 8.7 samples/s
|
| 164 |
+
Step 560/20005 | Loss: 4.3700 | LR: 5.00e-04 | 2760.0ms/step | 8.7 samples/s
|
| 165 |
+
Step 570/20005 | Loss: 4.2611 | LR: 5.00e-04 | 2759.5ms/step | 8.7 samples/s
|
| 166 |
+
Step 580/20005 | Loss: 4.2245 | LR: 5.00e-04 | 2760.0ms/step | 8.7 samples/s
|
| 167 |
+
Step 590/20005 | Loss: 4.2480 | LR: 5.00e-04 | 2760.9ms/step | 8.7 samples/s
|
| 168 |
+
Step 600/20005 | Loss: 4.2026 | LR: 5.00e-04 | 2760.8ms/step | 8.7 samples/s
|
| 169 |
+
Step 610/20005 | Loss: 4.1299 | LR: 5.00e-04 | 2759.2ms/step | 8.7 samples/s
|
| 170 |
+
Step 620/20005 | Loss: 4.1015 | LR: 5.00e-04 | 2763.8ms/step | 8.7 samples/s
|
| 171 |
+
Step 630/20005 | Loss: 4.0786 | LR: 5.00e-04 | 2763.7ms/step | 8.7 samples/s
|
| 172 |
+
Step 640/20005 | Loss: 4.1684 | LR: 5.00e-04 | 2765.4ms/step | 8.7 samples/s
|
| 173 |
+
Step 650/20005 | Loss: 4.1388 | LR: 4.99e-04 | 2762.8ms/step | 8.7 samples/s
|
| 174 |
+
Step 660/20005 | Loss: 4.1002 | LR: 4.99e-04 | 2765.0ms/step | 8.7 samples/s
|
| 175 |
+
Step 670/20005 | Loss: 3.9987 | LR: 4.99e-04 | 2766.6ms/step | 8.7 samples/s
|
| 176 |
+
Step 680/20005 | Loss: 3.9821 | LR: 4.99e-04 | 2765.3ms/step | 8.7 samples/s
|
| 177 |
+
Step 690/20005 | Loss: 3.8683 | LR: 4.99e-04 | 2763.5ms/step | 8.7 samples/s
|
| 178 |
+
Step 700/20005 | Loss: 3.9370 | LR: 4.99e-04 | 2758.8ms/step | 8.7 samples/s
|
| 179 |
+
Step 710/20005 | Loss: 3.9901 | LR: 4.99e-04 | 2760.0ms/step | 8.7 samples/s
|
| 180 |
+
Step 720/20005 | Loss: 3.9598 | LR: 4.99e-04 | 2762.6ms/step | 8.7 samples/s
|
| 181 |
+
Step 730/20005 | Loss: 3.9113 | LR: 4.99e-04 | 2759.9ms/step | 8.7 samples/s
|
| 182 |
+
Step 740/20005 | Loss: 3.8747 | LR: 4.99e-04 | 2764.2ms/step | 8.7 samples/s
|
| 183 |
+
Step 750/20005 | Loss: 3.8602 | LR: 4.99e-04 | 2759.8ms/step | 8.7 samples/s
|
| 184 |
+
Validation at step 750: Loss = 3.8865, Perplexity = 48.74
|
| 185 |
+
Step 760/20005 | Loss: 3.8667 | LR: 4.99e-04 | 21963.8ms/step | 1.1 samples/s
|
| 186 |
+
Step 770/20005 | Loss: 3.8535 | LR: 4.99e-04 | 2761.2ms/step | 8.7 samples/s
|
| 187 |
+
Step 780/20005 | Loss: 3.8783 | LR: 4.99e-04 | 2760.9ms/step | 8.7 samples/s
|
| 188 |
+
Step 790/20005 | Loss: 3.7873 | LR: 4.99e-04 | 2760.0ms/step | 8.7 samples/s
|
| 189 |
+
Step 800/20005 | Loss: 3.7243 | LR: 4.99e-04 | 2759.9ms/step | 8.7 samples/s
|
| 190 |
+
Step 810/20005 | Loss: 3.7751 | LR: 4.99e-04 | 2759.9ms/step | 8.7 samples/s
|
| 191 |
+
Step 820/20005 | Loss: 3.7464 | LR: 4.99e-04 | 2758.2ms/step | 8.7 samples/s
|
| 192 |
+
Step 830/20005 | Loss: 3.7759 | LR: 4.99e-04 | 2763.4ms/step | 8.7 samples/s
|
| 193 |
+
Step 840/20005 | Loss: 3.7637 | LR: 4.99e-04 | 2882.4ms/step | 8.3 samples/s
|
| 194 |
+
Step 850/20005 | Loss: 3.7363 | LR: 4.99e-04 | 2762.8ms/step | 8.7 samples/s
|
| 195 |
+
Step 860/20005 | Loss: 3.7785 | LR: 4.99e-04 | 2767.0ms/step | 8.7 samples/s
|
| 196 |
+
Step 870/20005 | Loss: 3.7385 | LR: 4.99e-04 | 2763.1ms/step | 8.7 samples/s
|
| 197 |
+
Step 880/20005 | Loss: 3.6628 | LR: 4.99e-04 | 2763.5ms/step | 8.7 samples/s
|
| 198 |
+
Step 890/20005 | Loss: 3.5887 | LR: 4.99e-04 | 2765.1ms/step | 8.7 samples/s
|
| 199 |
+
Step 900/20005 | Loss: 3.6553 | LR: 4.99e-04 | 2763.9ms/step | 8.7 samples/s
|
| 200 |
+
Step 910/20005 | Loss: 3.6443 | LR: 4.99e-04 | 2765.2ms/step | 8.7 samples/s
|
| 201 |
+
Step 920/20005 | Loss: 3.6155 | LR: 4.99e-04 | 2765.1ms/step | 8.7 samples/s
|
| 202 |
+
Step 930/20005 | Loss: 3.5568 | LR: 4.99e-04 | 2765.5ms/step | 8.7 samples/s
|
| 203 |
+
Step 940/20005 | Loss: 3.6848 | LR: 4.98e-04 | 2767.2ms/step | 8.7 samples/s
|
| 204 |
+
Step 950/20005 | Loss: 3.5370 | LR: 4.98e-04 | 2764.4ms/step | 8.7 samples/s
|
| 205 |
+
Step 960/20005 | Loss: 3.6071 | LR: 4.98e-04 | 2765.6ms/step | 8.7 samples/s
|
| 206 |
+
Step 970/20005 | Loss: 3.5247 | LR: 4.98e-04 | 2760.6ms/step | 8.7 samples/s
|
| 207 |
+
Step 980/20005 | Loss: 3.5528 | LR: 4.98e-04 | 2762.4ms/step | 8.7 samples/s
|
| 208 |
+
Step 990/20005 | Loss: 3.5869 | LR: 4.98e-04 | 2763.2ms/step | 8.7 samples/s
|
| 209 |
+
Step 1000/20005 | Loss: 3.5220 | LR: 4.98e-04 | 2765.2ms/step | 8.7 samples/s
|
| 210 |
+
Validation at step 1000: Loss = 3.5638, Perplexity = 35.30
|
| 211 |
+
Step 1010/20005 | Loss: 3.5427 | LR: 4.98e-04 | 21969.3ms/step | 1.1 samples/s
|
| 212 |
+
Step 1020/20005 | Loss: 3.5228 | LR: 4.98e-04 | 2764.6ms/step | 8.7 samples/s
|
| 213 |
+
Step 1030/20005 | Loss: 3.5350 | LR: 4.98e-04 | 2768.7ms/step | 8.7 samples/s
|
| 214 |
+
Step 1040/20005 | Loss: 3.5662 | LR: 4.98e-04 | 2765.9ms/step | 8.7 samples/s
|
| 215 |
+
Step 1050/20005 | Loss: 3.4038 | LR: 4.98e-04 | 2762.1ms/step | 8.7 samples/s
|
| 216 |
+
Step 1060/20005 | Loss: 3.5186 | LR: 4.98e-04 | 2770.1ms/step | 8.7 samples/s
|
| 217 |
+
Step 1070/20005 | Loss: 3.4663 | LR: 4.98e-04 | 2765.6ms/step | 8.7 samples/s
|
| 218 |
+
Step 1080/20005 | Loss: 3.5870 | LR: 4.98e-04 | 2764.3ms/step | 8.7 samples/s
|
| 219 |
+
Step 1090/20005 | Loss: 3.5031 | LR: 4.98e-04 | 2761.2ms/step | 8.7 samples/s
|
| 220 |
+
Step 1100/20005 | Loss: 3.4334 | LR: 4.98e-04 | 2761.7ms/step | 8.7 samples/s
|
| 221 |
+
Step 1110/20005 | Loss: 3.5186 | LR: 4.98e-04 | 2760.7ms/step | 8.7 samples/s
|
| 222 |
+
Step 1120/20005 | Loss: 3.5534 | LR: 4.98e-04 | 2761.2ms/step | 8.7 samples/s
|
| 223 |
+
Step 1130/20005 | Loss: 3.4956 | LR: 4.98e-04 | 2760.9ms/step | 8.7 samples/s
|
| 224 |
+
Step 1140/20005 | Loss: 3.4621 | LR: 4.98e-04 | 2760.2ms/step | 8.7 samples/s
|
| 225 |
+
Step 1150/20005 | Loss: 3.4725 | LR: 4.97e-04 | 2761.9ms/step | 8.7 samples/s
|
| 226 |
+
Step 1160/20005 | Loss: 3.4526 | LR: 4.97e-04 | 2766.1ms/step | 8.7 samples/s
|
| 227 |
+
Step 1170/20005 | Loss: 3.4601 | LR: 4.97e-04 | 2771.7ms/step | 8.7 samples/s
|
| 228 |
+
Step 1180/20005 | Loss: 3.4587 | LR: 4.97e-04 | 2770.3ms/step | 8.7 samples/s
|
| 229 |
+
Step 1190/20005 | Loss: 3.4606 | LR: 4.97e-04 | 2763.5ms/step | 8.7 samples/s
|
| 230 |
+
Step 1200/20005 | Loss: 3.3753 | LR: 4.97e-04 | 2764.2ms/step | 8.7 samples/s
|
| 231 |
+
Step 1210/20005 | Loss: 3.3043 | LR: 4.97e-04 | 2768.2ms/step | 8.7 samples/s
|
| 232 |
+
Step 1220/20005 | Loss: 3.4626 | LR: 4.97e-04 | 2768.1ms/step | 8.7 samples/s
|
| 233 |
+
Step 1230/20005 | Loss: 3.3684 | LR: 4.97e-04 | 2766.0ms/step | 8.7 samples/s
|
| 234 |
+
Step 1240/20005 | Loss: 3.4586 | LR: 4.97e-04 | 2764.4ms/step | 8.7 samples/s
|
| 235 |
+
Step 1250/20005 | Loss: 3.2903 | LR: 4.97e-04 | 2764.3ms/step | 8.7 samples/s
|
| 236 |
+
Validation at step 1250: Loss = 3.3759, Perplexity = 29.25
|
| 237 |
+
Step 1260/20005 | Loss: 3.3458 | LR: 4.97e-04 | 21969.4ms/step | 1.1 samples/s
|
| 238 |
+
Step 1270/20005 | Loss: 3.3751 | LR: 4.97e-04 | 2762.5ms/step | 8.7 samples/s
|
| 239 |
+
Step 1280/20005 | Loss: 3.3108 | LR: 4.97e-04 | 2766.7ms/step | 8.7 samples/s
|
| 240 |
+
Step 1290/20005 | Loss: 3.3678 | LR: 4.97e-04 | 2764.9ms/step | 8.7 samples/s
|
| 241 |
+
Step 1300/20005 | Loss: 3.2969 | LR: 4.97e-04 | 2766.5ms/step | 8.7 samples/s
|
| 242 |
+
Step 1310/20005 | Loss: 3.2972 | LR: 4.96e-04 | 2763.8ms/step | 8.7 samples/s
|
| 243 |
+
Step 1320/20005 | Loss: 3.2614 | LR: 4.96e-04 | 2766.0ms/step | 8.7 samples/s
|
| 244 |
+
Step 1330/20005 | Loss: 3.3838 | LR: 4.96e-04 | 2768.1ms/step | 8.7 samples/s
|
| 245 |
+
Step 1340/20005 | Loss: 3.3408 | LR: 4.96e-04 | 2765.0ms/step | 8.7 samples/s
|
| 246 |
+
Step 1350/20005 | Loss: 3.3330 | LR: 4.96e-04 | 2769.1ms/step | 8.7 samples/s
|
| 247 |
+
Step 1360/20005 | Loss: 3.2903 | LR: 4.96e-04 | 2766.2ms/step | 8.7 samples/s
|
| 248 |
+
Step 1370/20005 | Loss: 3.3151 | LR: 4.96e-04 | 2764.7ms/step | 8.7 samples/s
|
| 249 |
+
Step 1380/20005 | Loss: 3.2862 | LR: 4.96e-04 | 2762.6ms/step | 8.7 samples/s
|
| 250 |
+
Step 1390/20005 | Loss: 3.2497 | LR: 4.96e-04 | 2759.5ms/step | 8.7 samples/s
|
| 251 |
+
Step 1400/20005 | Loss: 3.3090 | LR: 4.96e-04 | 2762.3ms/step | 8.7 samples/s
|
| 252 |
+
Step 1410/20005 | Loss: 3.3080 | LR: 4.96e-04 | 2766.6ms/step | 8.7 samples/s
|
| 253 |
+
Step 1420/20005 | Loss: 3.3029 | LR: 4.96e-04 | 2761.4ms/step | 8.7 samples/s
|
| 254 |
+
Step 1430/20005 | Loss: 3.3020 | LR: 4.96e-04 | 2761.2ms/step | 8.7 samples/s
|
| 255 |
+
Step 1440/20005 | Loss: 3.2956 | LR: 4.96e-04 | 2770.4ms/step | 8.7 samples/s
|
| 256 |
+
Step 1450/20005 | Loss: 3.3466 | LR: 4.95e-04 | 2766.4ms/step | 8.7 samples/s
|
| 257 |
+
Step 1460/20005 | Loss: 3.2753 | LR: 4.95e-04 | 2762.0ms/step | 8.7 samples/s
|
| 258 |
+
Step 1470/20005 | Loss: 3.2611 | LR: 4.95e-04 | 2759.9ms/step | 8.7 samples/s
|
| 259 |
+
Step 1480/20005 | Loss: 3.2540 | LR: 4.95e-04 | 2760.5ms/step | 8.7 samples/s
|
| 260 |
+
Step 1490/20005 | Loss: 3.2429 | LR: 4.95e-04 | 2766.5ms/step | 8.7 samples/s
|
| 261 |
+
Step 1500/20005 | Loss: 3.2993 | LR: 4.95e-04 | 2761.7ms/step | 8.7 samples/s
|
| 262 |
+
Validation at step 1500: Loss = 3.2771, Perplexity = 26.50
|
| 263 |
+
Step 1510/20005 | Loss: 3.2156 | LR: 4.95e-04 | 21965.5ms/step | 1.1 samples/s
|
| 264 |
+
Step 1520/20005 | Loss: 3.2559 | LR: 4.95e-04 | 2766.6ms/step | 8.7 samples/s
|
| 265 |
+
Step 1530/20005 | Loss: 3.2496 | LR: 4.95e-04 | 2762.0ms/step | 8.7 samples/s
|
| 266 |
+
Step 1540/20005 | Loss: 3.1913 | LR: 4.95e-04 | 2761.2ms/step | 8.7 samples/s
|
| 267 |
+
Step 1550/20005 | Loss: 3.3294 | LR: 4.95e-04 | 2762.6ms/step | 8.7 samples/s
|
| 268 |
+
Step 1560/20005 | Loss: 3.2475 | LR: 4.95e-04 | 2789.0ms/step | 8.6 samples/s
|
| 269 |
+
Step 1570/20005 | Loss: 3.2430 | LR: 4.95e-04 | 2780.6ms/step | 8.6 samples/s
|
| 270 |
+
Step 1580/20005 | Loss: 3.2574 | LR: 4.94e-04 | 2770.3ms/step | 8.7 samples/s
|
| 271 |
+
Step 1590/20005 | Loss: 3.1857 | LR: 4.94e-04 | 2767.9ms/step | 8.7 samples/s
|
| 272 |
+
Step 1600/20005 | Loss: 3.2606 | LR: 4.94e-04 | 2763.0ms/step | 8.7 samples/s
|
| 273 |
+
Step 1610/20005 | Loss: 3.1693 | LR: 4.94e-04 | 2762.6ms/step | 8.7 samples/s
|
| 274 |
+
Step 1620/20005 | Loss: 3.2251 | LR: 4.94e-04 | 2761.9ms/step | 8.7 samples/s
|
| 275 |
+
Step 1630/20005 | Loss: 3.1801 | LR: 4.94e-04 | 2760.1ms/step | 8.7 samples/s
|
| 276 |
+
Step 1640/20005 | Loss: 3.2999 | LR: 4.94e-04 | 2759.9ms/step | 8.7 samples/s
|
| 277 |
+
Step 1650/20005 | Loss: 3.2658 | LR: 4.94e-04 | 2765.9ms/step | 8.7 samples/s
|
| 278 |
+
Step 1660/20005 | Loss: 3.2310 | LR: 4.94e-04 | 2760.0ms/step | 8.7 samples/s
|
| 279 |
+
Step 1670/20005 | Loss: 3.1202 | LR: 4.94e-04 | 2765.1ms/step | 8.7 samples/s
|
| 280 |
+
Step 1680/20005 | Loss: 3.2660 | LR: 4.94e-04 | 2767.8ms/step | 8.7 samples/s
|
| 281 |
+
Step 1690/20005 | Loss: 3.1254 | LR: 4.93e-04 | 2764.7ms/step | 8.7 samples/s
|
| 282 |
+
Step 1700/20005 | Loss: 3.2053 | LR: 4.93e-04 | 2866.8ms/step | 8.4 samples/s
|
| 283 |
+
Step 1710/20005 | Loss: 3.0661 | LR: 4.93e-04 | 2766.2ms/step | 8.7 samples/s
|
| 284 |
+
Step 1720/20005 | Loss: 3.1562 | LR: 4.93e-04 | 2763.9ms/step | 8.7 samples/s
|
| 285 |
+
Step 1730/20005 | Loss: 3.1911 | LR: 4.93e-04 | 2766.0ms/step | 8.7 samples/s
|
| 286 |
+
Step 1740/20005 | Loss: 3.1470 | LR: 4.93e-04 | 2762.8ms/step | 8.7 samples/s
|
| 287 |
+
Step 1750/20005 | Loss: 3.2204 | LR: 4.93e-04 | 2769.6ms/step | 8.7 samples/s
|
| 288 |
+
Validation at step 1750: Loss = 3.1644, Perplexity = 23.67
|
| 289 |
+
Step 1760/20005 | Loss: 3.1679 | LR: 4.93e-04 | 21967.9ms/step | 1.1 samples/s
|
| 290 |
+
Step 1770/20005 | Loss: 3.1877 | LR: 4.93e-04 | 2766.5ms/step | 8.7 samples/s
|
| 291 |
+
Step 1780/20005 | Loss: 3.1568 | LR: 4.93e-04 | 2761.7ms/step | 8.7 samples/s
|
| 292 |
+
Step 1790/20005 | Loss: 3.1350 | LR: 4.93e-04 | 2763.6ms/step | 8.7 samples/s
|
| 293 |
+
Step 1800/20005 | Loss: 3.0924 | LR: 4.92e-04 | 2766.1ms/step | 8.7 samples/s
|
| 294 |
+
Step 1810/20005 | Loss: 3.2371 | LR: 4.92e-04 | 2763.6ms/step | 8.7 samples/s
|
| 295 |
+
Step 1820/20005 | Loss: 3.1143 | LR: 4.92e-04 | 2765.1ms/step | 8.7 samples/s
|
| 296 |
+
Step 1830/20005 | Loss: 3.1666 | LR: 4.92e-04 | 2763.8ms/step | 8.7 samples/s
|
| 297 |
+
Step 1840/20005 | Loss: 3.0805 | LR: 4.92e-04 | 2762.7ms/step | 8.7 samples/s
|
| 298 |
+
Step 1850/20005 | Loss: 3.0941 | LR: 4.92e-04 | 2761.4ms/step | 8.7 samples/s
|
| 299 |
+
Step 1860/20005 | Loss: 3.0905 | LR: 4.92e-04 | 2761.4ms/step | 8.7 samples/s
|
| 300 |
+
Step 1870/20005 | Loss: 3.0872 | LR: 4.92e-04 | 2761.6ms/step | 8.7 samples/s
|
| 301 |
+
Step 1880/20005 | Loss: 3.0970 | LR: 4.92e-04 | 2763.1ms/step | 8.7 samples/s
|
| 302 |
+
Step 1890/20005 | Loss: 3.0578 | LR: 4.92e-04 | 2759.9ms/step | 8.7 samples/s
|
| 303 |
+
Step 1900/20005 | Loss: 3.1589 | LR: 4.91e-04 | 2762.7ms/step | 8.7 samples/s
|
| 304 |
+
Step 1910/20005 | Loss: 3.0947 | LR: 4.91e-04 | 2768.7ms/step | 8.7 samples/s
|
| 305 |
+
Step 1920/20005 | Loss: 3.0868 | LR: 4.91e-04 | 2766.5ms/step | 8.7 samples/s
|
| 306 |
+
Step 1930/20005 | Loss: 3.1592 | LR: 4.91e-04 | 2769.9ms/step | 8.7 samples/s
|
| 307 |
+
Step 1940/20005 | Loss: 2.9666 | LR: 4.91e-04 | 2765.5ms/step | 8.7 samples/s
|
| 308 |
+
Step 1950/20005 | Loss: 3.1476 | LR: 4.91e-04 | 2768.1ms/step | 8.7 samples/s
|
| 309 |
+
Step 1960/20005 | Loss: 3.0691 | LR: 4.91e-04 | 2762.9ms/step | 8.7 samples/s
|
| 310 |
+
Step 1970/20005 | Loss: 3.0647 | LR: 4.91e-04 | 2764.2ms/step | 8.7 samples/s
|
| 311 |
+
Step 1980/20005 | Loss: 3.0428 | LR: 4.91e-04 | 2766.0ms/step | 8.7 samples/s
|
| 312 |
+
Step 1990/20005 | Loss: 3.0410 | LR: 4.90e-04 | 2762.5ms/step | 8.7 samples/s
|
| 313 |
+
Step 2000/20005 | Loss: 3.1315 | LR: 4.90e-04 | 2760.8ms/step | 8.7 samples/s
|
| 314 |
+
Validation at step 2000: Loss = 3.0909, Perplexity = 22.00
|
| 315 |
+
Saved checkpoint to checkpoints/run_20260506_193527/checkpoint-2000
|
| 316 |
+
Step 2010/20005 | Loss: 3.1517 | LR: 4.90e-04 | 22555.4ms/step | 1.1 samples/s
|
| 317 |
+
Step 2020/20005 | Loss: 3.0912 | LR: 4.90e-04 | 2760.8ms/step | 8.7 samples/s
|
| 318 |
+
Step 2030/20005 | Loss: 3.1107 | LR: 4.90e-04 | 2768.6ms/step | 8.7 samples/s
|
| 319 |
+
Step 2040/20005 | Loss: 3.0892 | LR: 4.90e-04 | 2770.8ms/step | 8.7 samples/s
|
| 320 |
+
Step 2050/20005 | Loss: 3.0426 | LR: 4.90e-04 | 2764.5ms/step | 8.7 samples/s
|
| 321 |
+
Step 2060/20005 | Loss: 3.0659 | LR: 4.90e-04 | 2769.1ms/step | 8.7 samples/s
|
| 322 |
+
Step 2070/20005 | Loss: 3.0791 | LR: 4.90e-04 | 2761.1ms/step | 8.7 samples/s
|
| 323 |
+
Step 2080/20005 | Loss: 3.0813 | LR: 4.89e-04 | 2763.9ms/step | 8.7 samples/s
|
| 324 |
+
Step 2090/20005 | Loss: 3.0492 | LR: 4.89e-04 | 2765.0ms/step | 8.7 samples/s
|
| 325 |
+
Step 2100/20005 | Loss: 3.0255 | LR: 4.89e-04 | 2760.9ms/step | 8.7 samples/s
|
| 326 |
+
Step 2110/20005 | Loss: 3.0726 | LR: 4.89e-04 | 2760.3ms/step | 8.7 samples/s
|
| 327 |
+
Step 2120/20005 | Loss: 3.0578 | LR: 4.89e-04 | 2761.6ms/step | 8.7 samples/s
|
| 328 |
+
Step 2130/20005 | Loss: 3.1649 | LR: 4.89e-04 | 2762.0ms/step | 8.7 samples/s
|
| 329 |
+
Step 2140/20005 | Loss: 2.9619 | LR: 4.89e-04 | 2766.5ms/step | 8.7 samples/s
|
| 330 |
+
Step 2150/20005 | Loss: 3.1198 | LR: 4.89e-04 | 2761.9ms/step | 8.7 samples/s
|
| 331 |
+
Step 2160/20005 | Loss: 3.0763 | LR: 4.89e-04 | 2762.1ms/step | 8.7 samples/s
|
| 332 |
+
Step 2170/20005 | Loss: 3.0274 | LR: 4.88e-04 | 2762.1ms/step | 8.7 samples/s
|
| 333 |
+
Step 2180/20005 | Loss: 3.0355 | LR: 4.88e-04 | 2761.5ms/step | 8.7 samples/s
|
| 334 |
+
Step 2190/20005 | Loss: 3.0168 | LR: 4.88e-04 | 2760.2ms/step | 8.7 samples/s
|
| 335 |
+
Step 2200/20005 | Loss: 3.0221 | LR: 4.88e-04 | 2761.2ms/step | 8.7 samples/s
|
| 336 |
+
Step 2210/20005 | Loss: 3.0307 | LR: 4.88e-04 | 2761.1ms/step | 8.7 samples/s
|
| 337 |
+
Step 2220/20005 | Loss: 3.0357 | LR: 4.88e-04 | 2759.8ms/step | 8.7 samples/s
|
| 338 |
+
Step 2230/20005 | Loss: 2.9930 | LR: 4.88e-04 | 2765.7ms/step | 8.7 samples/s
|
| 339 |
+
Step 2240/20005 | Loss: 2.9925 | LR: 4.88e-04 | 2765.9ms/step | 8.7 samples/s
|
| 340 |
+
Step 2250/20005 | Loss: 3.0709 | LR: 4.87e-04 | 2761.2ms/step | 8.7 samples/s
|
| 341 |
+
Validation at step 2250: Loss = 3.0346, Perplexity = 20.79
|
| 342 |
+
Step 2260/20005 | Loss: 3.0123 | LR: 4.87e-04 | 21969.4ms/step | 1.1 samples/s
|
| 343 |
+
Step 2270/20005 | Loss: 3.0142 | LR: 4.87e-04 | 2765.3ms/step | 8.7 samples/s
|
| 344 |
+
Step 2280/20005 | Loss: 3.0513 | LR: 4.87e-04 | 2760.0ms/step | 8.7 samples/s
|
| 345 |
+
Step 2290/20005 | Loss: 2.9671 | LR: 4.87e-04 | 2766.9ms/step | 8.7 samples/s
|
| 346 |
+
Step 2300/20005 | Loss: 3.0316 | LR: 4.87e-04 | 2761.9ms/step | 8.7 samples/s
|
| 347 |
+
Step 2310/20005 | Loss: 2.9959 | LR: 4.87e-04 | 2765.3ms/step | 8.7 samples/s
|
| 348 |
+
Step 2320/20005 | Loss: 2.8850 | LR: 4.87e-04 | 2764.4ms/step | 8.7 samples/s
|
| 349 |
+
Step 2330/20005 | Loss: 3.0029 | LR: 4.86e-04 | 2763.6ms/step | 8.7 samples/s
|
| 350 |
+
Step 2340/20005 | Loss: 2.9750 | LR: 4.86e-04 | 2760.9ms/step | 8.7 samples/s
|
| 351 |
+
Step 2350/20005 | Loss: 2.9845 | LR: 4.86e-04 | 2776.0ms/step | 8.6 samples/s
|
| 352 |
+
Step 2360/20005 | Loss: 2.9698 | LR: 4.86e-04 | 2769.0ms/step | 8.7 samples/s
|
| 353 |
+
Step 2370/20005 | Loss: 3.0263 | LR: 4.86e-04 | 2769.0ms/step | 8.7 samples/s
|
| 354 |
+
Step 2380/20005 | Loss: 3.0247 | LR: 4.86e-04 | 2764.6ms/step | 8.7 samples/s
|
| 355 |
+
Step 2390/20005 | Loss: 3.0306 | LR: 4.86e-04 | 2769.2ms/step | 8.7 samples/s
|
| 356 |
+
Step 2400/20005 | Loss: 3.0468 | LR: 4.86e-04 | 2767.2ms/step | 8.7 samples/s
|
| 357 |
+
Step 2410/20005 | Loss: 2.9311 | LR: 4.85e-04 | 2763.1ms/step | 8.7 samples/s
|
| 358 |
+
Step 2420/20005 | Loss: 2.9804 | LR: 4.85e-04 | 2769.6ms/step | 8.7 samples/s
|
| 359 |
+
Step 2430/20005 | Loss: 2.9943 | LR: 4.85e-04 | 2763.9ms/step | 8.7 samples/s
|
| 360 |
+
Step 2440/20005 | Loss: 3.1119 | LR: 4.85e-04 | 2761.8ms/step | 8.7 samples/s
|
| 361 |
+
Step 2450/20005 | Loss: 2.9980 | LR: 4.85e-04 | 2770.0ms/step | 8.7 samples/s
|
| 362 |
+
Step 2460/20005 | Loss: 2.9099 | LR: 4.85e-04 | 2768.0ms/step | 8.7 samples/s
|
| 363 |
+
Step 2470/20005 | Loss: 2.9476 | LR: 4.85e-04 | 2764.8ms/step | 8.7 samples/s
|
| 364 |
+
Step 2480/20005 | Loss: 2.9730 | LR: 4.84e-04 | 2766.5ms/step | 8.7 samples/s
|
| 365 |
+
Step 2490/20005 | Loss: 2.9905 | LR: 4.84e-04 | 2763.6ms/step | 8.7 samples/s
|
| 366 |
+
Step 2500/20005 | Loss: 2.9910 | LR: 4.84e-04 | 2763.6ms/step | 8.7 samples/s
|
| 367 |
+
Validation at step 2500: Loss = 2.9803, Perplexity = 19.69
|
| 368 |
+
Step 2510/20005 | Loss: 2.9858 | LR: 4.84e-04 | 21960.4ms/step | 1.1 samples/s
|
| 369 |
+
Step 2520/20005 | Loss: 2.9145 | LR: 4.84e-04 | 2769.6ms/step | 8.7 samples/s
|
| 370 |
+
Step 2530/20005 | Loss: 2.9410 | LR: 4.84e-04 | 2767.0ms/step | 8.7 samples/s
|
| 371 |
+
Step 2540/20005 | Loss: 3.0019 | LR: 4.84e-04 | 2763.3ms/step | 8.7 samples/s
|
| 372 |
+
Step 2550/20005 | Loss: 2.9718 | LR: 4.83e-04 | 2864.3ms/step | 8.4 samples/s
|
| 373 |
+
Step 2560/20005 | Loss: 2.9669 | LR: 4.83e-04 | 2760.7ms/step | 8.7 samples/s
|
| 374 |
+
Step 2570/20005 | Loss: 2.9860 | LR: 4.83e-04 | 2763.3ms/step | 8.7 samples/s
|
| 375 |
+
Step 2580/20005 | Loss: 2.9181 | LR: 4.83e-04 | 2763.4ms/step | 8.7 samples/s
|
| 376 |
+
Step 2590/20005 | Loss: 3.0322 | LR: 4.83e-04 | 2763.0ms/step | 8.7 samples/s
|
| 377 |
+
Step 2600/20005 | Loss: 2.9227 | LR: 4.83e-04 | 2763.2ms/step | 8.7 samples/s
|
| 378 |
+
Step 2610/20005 | Loss: 2.9246 | LR: 4.83e-04 | 2760.5ms/step | 8.7 samples/s
|
| 379 |
+
Step 2620/20005 | Loss: 2.9878 | LR: 4.82e-04 | 2760.3ms/step | 8.7 samples/s
|
| 380 |
+
Step 2630/20005 | Loss: 2.9312 | LR: 4.82e-04 | 2762.5ms/step | 8.7 samples/s
|
| 381 |
+
Step 2640/20005 | Loss: 2.8957 | LR: 4.82e-04 | 2764.8ms/step | 8.7 samples/s
|
| 382 |
+
Step 2650/20005 | Loss: 2.9927 | LR: 4.82e-04 | 2767.0ms/step | 8.7 samples/s
|
| 383 |
+
Step 2660/20005 | Loss: 2.9486 | LR: 4.82e-04 | 2766.1ms/step | 8.7 samples/s
|
| 384 |
+
Step 2670/20005 | Loss: 2.9007 | LR: 4.82e-04 | 2763.3ms/step | 8.7 samples/s
|
| 385 |
+
Step 2680/20005 | Loss: 2.9492 | LR: 4.82e-04 | 2760.4ms/step | 8.7 samples/s
|
| 386 |
+
Step 2690/20005 | Loss: 2.9333 | LR: 4.81e-04 | 2761.1ms/step | 8.7 samples/s
|
| 387 |
+
Step 2700/20005 | Loss: 2.9460 | LR: 4.81e-04 | 2760.4ms/step | 8.7 samples/s
|
| 388 |
+
Step 2710/20005 | Loss: 2.8776 | LR: 4.81e-04 | 2761.4ms/step | 8.7 samples/s
|
| 389 |
+
Step 2720/20005 | Loss: 2.9657 | LR: 4.81e-04 | 2760.6ms/step | 8.7 samples/s
|
| 390 |
+
Step 2730/20005 | Loss: 3.0355 | LR: 4.81e-04 | 2762.1ms/step | 8.7 samples/s
|
| 391 |
+
Step 2740/20005 | Loss: 2.9029 | LR: 4.81e-04 | 2761.8ms/step | 8.7 samples/s
|
| 392 |
+
Step 2750/20005 | Loss: 2.9181 | LR: 4.81e-04 | 2765.1ms/step | 8.7 samples/s
|
| 393 |
+
Validation at step 2750: Loss = 2.9368, Perplexity = 18.85
|
| 394 |
+
Step 2760/20005 | Loss: 2.9134 | LR: 4.80e-04 | 21967.9ms/step | 1.1 samples/s
|
| 395 |
+
Step 2770/20005 | Loss: 3.0252 | LR: 4.80e-04 | 2763.5ms/step | 8.7 samples/s
|
| 396 |
+
Step 2780/20005 | Loss: 2.9300 | LR: 4.80e-04 | 2761.7ms/step | 8.7 samples/s
|
| 397 |
+
Step 2790/20005 | Loss: 2.9710 | LR: 4.80e-04 | 2760.1ms/step | 8.7 samples/s
|
| 398 |
+
Step 2800/20005 | Loss: 2.9183 | LR: 4.80e-04 | 2761.2ms/step | 8.7 samples/s
|
| 399 |
+
Step 2810/20005 | Loss: 2.9678 | LR: 4.80e-04 | 2759.7ms/step | 8.7 samples/s
|
| 400 |
+
Step 2820/20005 | Loss: 2.9757 | LR: 4.79e-04 | 2763.7ms/step | 8.7 samples/s
|
| 401 |
+
Step 2830/20005 | Loss: 2.8640 | LR: 4.79e-04 | 2763.4ms/step | 8.7 samples/s
|
| 402 |
+
Step 2840/20005 | Loss: 2.9046 | LR: 4.79e-04 | 2764.8ms/step | 8.7 samples/s
|
| 403 |
+
Step 2850/20005 | Loss: 2.8705 | LR: 4.79e-04 | 2763.1ms/step | 8.7 samples/s
|
| 404 |
+
Step 2860/20005 | Loss: 2.8204 | LR: 4.79e-04 | 2761.7ms/step | 8.7 samples/s
|
| 405 |
+
Step 2870/20005 | Loss: 3.0452 | LR: 4.79e-04 | 2763.8ms/step | 8.7 samples/s
|
| 406 |
+
Step 2880/20005 | Loss: 2.8760 | LR: 4.78e-04 | 2767.9ms/step | 8.7 samples/s
|
| 407 |
+
Step 2890/20005 | Loss: 2.8423 | LR: 4.78e-04 | 2762.7ms/step | 8.7 samples/s
|
| 408 |
+
Step 2900/20005 | Loss: 2.9118 | LR: 4.78e-04 | 2759.0ms/step | 8.7 samples/s
|
| 409 |
+
Step 2910/20005 | Loss: 2.8610 | LR: 4.78e-04 | 2761.0ms/step | 8.7 samples/s
|
| 410 |
+
Step 2920/20005 | Loss: 2.8671 | LR: 4.78e-04 | 2762.2ms/step | 8.7 samples/s
|
| 411 |
+
Step 2930/20005 | Loss: 2.9199 | LR: 4.78e-04 | 2766.6ms/step | 8.7 samples/s
|
| 412 |
+
Step 2940/20005 | Loss: 2.9219 | LR: 4.77e-04 | 2762.7ms/step | 8.7 samples/s
|
| 413 |
+
Step 2950/20005 | Loss: 2.8329 | LR: 4.77e-04 | 2765.1ms/step | 8.7 samples/s
|
| 414 |
+
Step 2960/20005 | Loss: 2.9131 | LR: 4.77e-04 | 2767.9ms/step | 8.7 samples/s
|
| 415 |
+
Step 2970/20005 | Loss: 2.9111 | LR: 4.77e-04 | 2763.7ms/step | 8.7 samples/s
|
| 416 |
+
Step 2980/20005 | Loss: 2.8993 | LR: 4.77e-04 | 2767.1ms/step | 8.7 samples/s
|
| 417 |
+
Step 2990/20005 | Loss: 2.8830 | LR: 4.77e-04 | 2766.4ms/step | 8.7 samples/s
|
| 418 |
+
Step 3000/20005 | Loss: 2.8453 | LR: 4.76e-04 | 2760.2ms/step | 8.7 samples/s
|
| 419 |
+
Validation at step 3000: Loss = 2.9063, Perplexity = 18.29
|
| 420 |
+
Step 3010/20005 | Loss: 2.8743 | LR: 4.76e-04 | 21966.8ms/step | 1.1 samples/s
|
| 421 |
+
Step 3020/20005 | Loss: 2.8530 | LR: 4.76e-04 | 2765.9ms/step | 8.7 samples/s
|
| 422 |
+
Step 3030/20005 | Loss: 2.8624 | LR: 4.76e-04 | 2760.9ms/step | 8.7 samples/s
|
| 423 |
+
Step 3040/20005 | Loss: 2.9200 | LR: 4.76e-04 | 2766.2ms/step | 8.7 samples/s
|
| 424 |
+
Step 3050/20005 | Loss: 2.9876 | LR: 4.76e-04 | 2766.9ms/step | 8.7 samples/s
|
| 425 |
+
Step 3060/20005 | Loss: 2.7992 | LR: 4.75e-04 | 2762.8ms/step | 8.7 samples/s
|
| 426 |
+
Step 3070/20005 | Loss: 2.9328 | LR: 4.75e-04 | 2762.1ms/step | 8.7 samples/s
|
| 427 |
+
Step 3080/20005 | Loss: 2.8540 | LR: 4.75e-04 | 2769.2ms/step | 8.7 samples/s
|
| 428 |
+
Step 3090/20005 | Loss: 2.9479 | LR: 4.75e-04 | 2767.4ms/step | 8.7 samples/s
|
| 429 |
+
Step 3100/20005 | Loss: 2.9021 | LR: 4.75e-04 | 2762.0ms/step | 8.7 samples/s
|
| 430 |
+
Step 3110/20005 | Loss: 2.8555 | LR: 4.75e-04 | 2761.7ms/step | 8.7 samples/s
|
| 431 |
+
Step 3120/20005 | Loss: 2.8876 | LR: 4.74e-04 | 2762.2ms/step | 8.7 samples/s
|
| 432 |
+
Step 3130/20005 | Loss: 2.8961 | LR: 4.74e-04 | 2764.5ms/step | 8.7 samples/s
|
| 433 |
+
Step 3140/20005 | Loss: 2.9067 | LR: 4.74e-04 | 2763.4ms/step | 8.7 samples/s
|
| 434 |
+
Step 3150/20005 | Loss: 2.8788 | LR: 4.74e-04 | 2764.3ms/step | 8.7 samples/s
|
| 435 |
+
Step 3160/20005 | Loss: 2.9573 | LR: 4.74e-04 | 2762.8ms/step | 8.7 samples/s
|
| 436 |
+
Step 3170/20005 | Loss: 2.8525 | LR: 4.74e-04 | 2762.0ms/step | 8.7 samples/s
|
| 437 |
+
Step 3180/20005 | Loss: 2.7888 | LR: 4.73e-04 | 2761.9ms/step | 8.7 samples/s
|
| 438 |
+
Step 3190/20005 | Loss: 2.8620 | LR: 4.73e-04 | 2766.2ms/step | 8.7 samples/s
|
| 439 |
+
Step 3200/20005 | Loss: 2.9266 | LR: 4.73e-04 | 2769.9ms/step | 8.7 samples/s
|
| 440 |
+
Step 3210/20005 | Loss: 2.7545 | LR: 4.73e-04 | 2762.7ms/step | 8.7 samples/s
|
| 441 |
+
Step 3220/20005 | Loss: 2.8694 | LR: 4.73e-04 | 2765.4ms/step | 8.7 samples/s
|
| 442 |
+
Step 3230/20005 | Loss: 2.8794 | LR: 4.72e-04 | 2764.2ms/step | 8.7 samples/s
|
| 443 |
+
Step 3240/20005 | Loss: 2.8260 | LR: 4.72e-04 | 2768.3ms/step | 8.7 samples/s
|
| 444 |
+
Step 3250/20005 | Loss: 2.8028 | LR: 4.72e-04 | 2761.4ms/step | 8.7 samples/s
|
| 445 |
+
Validation at step 3250: Loss = 2.8664, Perplexity = 17.57
|
| 446 |
+
Step 3260/20005 | Loss: 2.8071 | LR: 4.72e-04 | 21963.0ms/step | 1.1 samples/s
|
| 447 |
+
Step 3270/20005 | Loss: 2.8391 | LR: 4.72e-04 | 2764.4ms/step | 8.7 samples/s
|
| 448 |
+
Step 3280/20005 | Loss: 2.7943 | LR: 4.72e-04 | 2763.9ms/step | 8.7 samples/s
|
| 449 |
+
Step 3290/20005 | Loss: 2.8577 | LR: 4.71e-04 | 2763.8ms/step | 8.7 samples/s
|
| 450 |
+
Step 3300/20005 | Loss: 2.8545 | LR: 4.71e-04 | 2764.3ms/step | 8.7 samples/s
|
| 451 |
+
Step 3310/20005 | Loss: 2.8542 | LR: 4.71e-04 | 2764.5ms/step | 8.7 samples/s
|
| 452 |
+
Step 3320/20005 | Loss: 2.8469 | LR: 4.71e-04 | 2762.4ms/step | 8.7 samples/s
|
| 453 |
+
Step 3330/20005 | Loss: 2.8972 | LR: 4.71e-04 | 2763.8ms/step | 8.7 samples/s
|
| 454 |
+
Step 3340/20005 | Loss: 2.8781 | LR: 4.70e-04 | 2761.6ms/step | 8.7 samples/s
|
| 455 |
+
Step 3350/20005 | Loss: 2.8152 | LR: 4.70e-04 | 2762.0ms/step | 8.7 samples/s
|
| 456 |
+
Step 3360/20005 | Loss: 2.8059 | LR: 4.70e-04 | 2760.8ms/step | 8.7 samples/s
|
| 457 |
+
Step 3370/20005 | Loss: 2.8505 | LR: 4.70e-04 | 2761.3ms/step | 8.7 samples/s
|
| 458 |
+
Step 3380/20005 | Loss: 2.8135 | LR: 4.70e-04 | 2762.0ms/step | 8.7 samples/s
|
| 459 |
+
Step 3390/20005 | Loss: 2.8540 | LR: 4.69e-04 | 2760.3ms/step | 8.7 samples/s
|
| 460 |
+
Step 3400/20005 | Loss: 2.7695 | LR: 4.69e-04 | 2763.5ms/step | 8.7 samples/s
|
| 461 |
+
Step 3410/20005 | Loss: 2.7939 | LR: 4.69e-04 | 2866.2ms/step | 8.4 samples/s
|
| 462 |
+
Step 3420/20005 | Loss: 2.8421 | LR: 4.69e-04 | 2757.8ms/step | 8.7 samples/s
|
| 463 |
+
Step 3430/20005 | Loss: 2.8984 | LR: 4.69e-04 | 2760.3ms/step | 8.7 samples/s
|
| 464 |
+
Step 3440/20005 | Loss: 2.8325 | LR: 4.69e-04 | 2759.6ms/step | 8.7 samples/s
|
| 465 |
+
Step 3450/20005 | Loss: 2.8575 | LR: 4.68e-04 | 2761.9ms/step | 8.7 samples/s
|
| 466 |
+
Step 3460/20005 | Loss: 2.8511 | LR: 4.68e-04 | 2761.0ms/step | 8.7 samples/s
|
| 467 |
+
Step 3470/20005 | Loss: 2.8791 | LR: 4.68e-04 | 2767.3ms/step | 8.7 samples/s
|
| 468 |
+
Step 3480/20005 | Loss: 2.8410 | LR: 4.68e-04 | 2765.0ms/step | 8.7 samples/s
|
| 469 |
+
Step 3490/20005 | Loss: 2.8381 | LR: 4.68e-04 | 2764.3ms/step | 8.7 samples/s
|
| 470 |
+
Step 3500/20005 | Loss: 2.7285 | LR: 4.67e-04 | 2767.9ms/step | 8.7 samples/s
|
| 471 |
+
Validation at step 3500: Loss = 2.8363, Perplexity = 17.05
|
| 472 |
+
Step 3510/20005 | Loss: 2.8776 | LR: 4.67e-04 | 22009.6ms/step | 1.1 samples/s
|
| 473 |
+
Step 3520/20005 | Loss: 2.8103 | LR: 4.67e-04 | 2771.0ms/step | 8.7 samples/s
|
| 474 |
+
Step 3530/20005 | Loss: 2.7635 | LR: 4.67e-04 | 2767.7ms/step | 8.7 samples/s
|
| 475 |
+
Step 3540/20005 | Loss: 2.8527 | LR: 4.67e-04 | 2771.5ms/step | 8.7 samples/s
|
| 476 |
+
Step 3550/20005 | Loss: 2.8427 | LR: 4.66e-04 | 2769.3ms/step | 8.7 samples/s
|
| 477 |
+
Step 3560/20005 | Loss: 2.7690 | LR: 4.66e-04 | 2765.6ms/step | 8.7 samples/s
|
| 478 |
+
Step 3570/20005 | Loss: 2.7835 | LR: 4.66e-04 | 2764.7ms/step | 8.7 samples/s
|
| 479 |
+
Step 3580/20005 | Loss: 2.7442 | LR: 4.66e-04 | 2764.3ms/step | 8.7 samples/s
|
| 480 |
+
Step 3590/20005 | Loss: 2.8302 | LR: 4.66e-04 | 2765.2ms/step | 8.7 samples/s
|
| 481 |
+
Step 3600/20005 | Loss: 2.8532 | LR: 4.65e-04 | 2770.6ms/step | 8.7 samples/s
|
| 482 |
+
Step 3610/20005 | Loss: 2.8796 | LR: 4.65e-04 | 2770.1ms/step | 8.7 samples/s
|
| 483 |
+
Step 3620/20005 | Loss: 2.8090 | LR: 4.65e-04 | 2764.6ms/step | 8.7 samples/s
|
| 484 |
+
Step 3630/20005 | Loss: 2.9118 | LR: 4.65e-04 | 2771.4ms/step | 8.7 samples/s
|
| 485 |
+
Step 3640/20005 | Loss: 2.8181 | LR: 4.65e-04 | 2768.8ms/step | 8.7 samples/s
|
| 486 |
+
Step 3650/20005 | Loss: 2.8757 | LR: 4.64e-04 | 2770.3ms/step | 8.7 samples/s
|
| 487 |
+
Step 3660/20005 | Loss: 2.8329 | LR: 4.64e-04 | 2765.5ms/step | 8.7 samples/s
|
| 488 |
+
Step 3670/20005 | Loss: 2.7951 | LR: 4.64e-04 | 2765.2ms/step | 8.7 samples/s
|
| 489 |
+
Step 3680/20005 | Loss: 2.7720 | LR: 4.64e-04 | 2764.7ms/step | 8.7 samples/s
|
| 490 |
+
Step 3690/20005 | Loss: 2.7908 | LR: 4.64e-04 | 2764.4ms/step | 8.7 samples/s
|
| 491 |
+
Step 3700/20005 | Loss: 2.8953 | LR: 4.63e-04 | 2765.3ms/step | 8.7 samples/s
|
| 492 |
+
Step 3710/20005 | Loss: 2.8195 | LR: 4.63e-04 | 2766.3ms/step | 8.7 samples/s
|
| 493 |
+
Step 3720/20005 | Loss: 2.7612 | LR: 4.63e-04 | 2767.9ms/step | 8.7 samples/s
|
| 494 |
+
Step 3730/20005 | Loss: 2.7585 | LR: 4.63e-04 | 2769.5ms/step | 8.7 samples/s
|
| 495 |
+
Step 3740/20005 | Loss: 2.8642 | LR: 4.62e-04 | 2768.7ms/step | 8.7 samples/s
|
| 496 |
+
Step 3750/20005 | Loss: 2.7607 | LR: 4.62e-04 | 2768.1ms/step | 8.7 samples/s
|
| 497 |
+
Validation at step 3750: Loss = 2.8104, Perplexity = 16.62
|
| 498 |
+
Step 3760/20005 | Loss: 2.8152 | LR: 4.62e-04 | 21971.3ms/step | 1.1 samples/s
|
| 499 |
+
Step 3770/20005 | Loss: 2.8430 | LR: 4.62e-04 | 2764.8ms/step | 8.7 samples/s
|
| 500 |
+
Step 3780/20005 | Loss: 2.8141 | LR: 4.62e-04 | 2765.9ms/step | 8.7 samples/s
|
| 501 |
+
Step 3790/20005 | Loss: 2.9068 | LR: 4.61e-04 | 2765.4ms/step | 8.7 samples/s
|
| 502 |
+
Step 3800/20005 | Loss: 2.7418 | LR: 4.61e-04 | 2769.0ms/step | 8.7 samples/s
|
| 503 |
+
Step 3810/20005 | Loss: 2.8539 | LR: 4.61e-04 | 2765.4ms/step | 8.7 samples/s
|
| 504 |
+
Step 3820/20005 | Loss: 2.7435 | LR: 4.61e-04 | 2763.7ms/step | 8.7 samples/s
|
| 505 |
+
Step 3830/20005 | Loss: 2.7539 | LR: 4.61e-04 | 2766.5ms/step | 8.7 samples/s
|
| 506 |
+
Step 3840/20005 | Loss: 2.8248 | LR: 4.60e-04 | 2762.3ms/step | 8.7 samples/s
|
| 507 |
+
Step 3850/20005 | Loss: 2.8429 | LR: 4.60e-04 | 2764.1ms/step | 8.7 samples/s
|
| 508 |
+
Step 3860/20005 | Loss: 2.7903 | LR: 4.60e-04 | 2764.8ms/step | 8.7 samples/s
|
| 509 |
+
Step 3870/20005 | Loss: 2.7481 | LR: 4.60e-04 | 2762.3ms/step | 8.7 samples/s
|
| 510 |
+
Step 3880/20005 | Loss: 2.8574 | LR: 4.59e-04 | 2765.5ms/step | 8.7 samples/s
|
| 511 |
+
Step 3890/20005 | Loss: 2.7220 | LR: 4.59e-04 | 2769.2ms/step | 8.7 samples/s
|
| 512 |
+
Step 3900/20005 | Loss: 2.7894 | LR: 4.59e-04 | 2767.6ms/step | 8.7 samples/s
|
| 513 |
+
Step 3910/20005 | Loss: 2.6568 | LR: 4.59e-04 | 2767.5ms/step | 8.7 samples/s
|
| 514 |
+
Step 3920/20005 | Loss: 2.7097 | LR: 4.59e-04 | 2767.3ms/step | 8.7 samples/s
|
| 515 |
+
Step 3930/20005 | Loss: 2.7778 | LR: 4.58e-04 | 2766.1ms/step | 8.7 samples/s
|
| 516 |
+
Step 3940/20005 | Loss: 2.7871 | LR: 4.58e-04 | 2765.6ms/step | 8.7 samples/s
|
| 517 |
+
Step 3950/20005 | Loss: 2.8005 | LR: 4.58e-04 | 2766.1ms/step | 8.7 samples/s
|
| 518 |
+
Step 3960/20005 | Loss: 2.8264 | LR: 4.58e-04 | 2764.2ms/step | 8.7 samples/s
|
| 519 |
+
Step 3970/20005 | Loss: 2.6854 | LR: 4.58e-04 | 2766.4ms/step | 8.7 samples/s
|
| 520 |
+
Step 3980/20005 | Loss: 2.6511 | LR: 4.57e-04 | 2767.6ms/step | 8.7 samples/s
|
| 521 |
+
Step 3990/20005 | Loss: 2.7663 | LR: 4.57e-04 | 2764.3ms/step | 8.7 samples/s
|
| 522 |
+
Step 4000/20005 | Loss: 2.7743 | LR: 4.57e-04 | 2773.7ms/step | 8.7 samples/s
|
| 523 |
+
Validation at step 4000: Loss = 2.7805, Perplexity = 16.13
|
| 524 |
+
Saved checkpoint to checkpoints/run_20260506_193527/checkpoint-4000
|
| 525 |
+
Step 4010/20005 | Loss: 2.8014 | LR: 4.57e-04 | 22585.5ms/step | 1.1 samples/s
|
| 526 |
+
Step 4020/20005 | Loss: 2.7197 | LR: 4.56e-04 | 2769.9ms/step | 8.7 samples/s
|
| 527 |
+
Step 4030/20005 | Loss: 2.7636 | LR: 4.56e-04 | 2767.6ms/step | 8.7 samples/s
|
| 528 |
+
Step 4040/20005 | Loss: 2.8259 | LR: 4.56e-04 | 2762.7ms/step | 8.7 samples/s
|
| 529 |
+
Step 4050/20005 | Loss: 2.8130 | LR: 4.56e-04 | 2766.1ms/step | 8.7 samples/s
|
| 530 |
+
Step 4060/20005 | Loss: 2.8101 | LR: 4.55e-04 | 2763.8ms/step | 8.7 samples/s
|
| 531 |
+
Step 4070/20005 | Loss: 2.7867 | LR: 4.55e-04 | 2765.1ms/step | 8.7 samples/s
|
| 532 |
+
Step 4080/20005 | Loss: 2.8095 | LR: 4.55e-04 | 2765.3ms/step | 8.7 samples/s
|
| 533 |
+
Step 4090/20005 | Loss: 2.7426 | LR: 4.55e-04 | 2763.3ms/step | 8.7 samples/s
|
| 534 |
+
Step 4100/20005 | Loss: 2.7343 | LR: 4.55e-04 | 2764.5ms/step | 8.7 samples/s
|
| 535 |
+
Step 4110/20005 | Loss: 2.7135 | LR: 4.54e-04 | 2770.4ms/step | 8.7 samples/s
|
| 536 |
+
Step 4120/20005 | Loss: 2.7327 | LR: 4.54e-04 | 2772.2ms/step | 8.7 samples/s
|
| 537 |
+
Step 4130/20005 | Loss: 2.7300 | LR: 4.54e-04 | 2768.6ms/step | 8.7 samples/s
|
| 538 |
+
Step 4140/20005 | Loss: 2.8484 | LR: 4.54e-04 | 2769.0ms/step | 8.7 samples/s
|
| 539 |
+
Step 4150/20005 | Loss: 2.7756 | LR: 4.53e-04 | 2765.6ms/step | 8.7 samples/s
|
| 540 |
+
Step 4160/20005 | Loss: 2.7160 | LR: 4.53e-04 | 2768.6ms/step | 8.7 samples/s
|
| 541 |
+
Step 4170/20005 | Loss: 2.7787 | LR: 4.53e-04 | 2767.3ms/step | 8.7 samples/s
|
| 542 |
+
Step 4180/20005 | Loss: 2.6801 | LR: 4.53e-04 | 2764.1ms/step | 8.7 samples/s
|
| 543 |
+
Step 4190/20005 | Loss: 2.8039 | LR: 4.53e-04 | 2763.9ms/step | 8.7 samples/s
|
| 544 |
+
Step 4200/20005 | Loss: 2.7261 | LR: 4.52e-04 | 2767.7ms/step | 8.7 samples/s
|
| 545 |
+
Step 4210/20005 | Loss: 2.7982 | LR: 4.52e-04 | 2775.7ms/step | 8.6 samples/s
|
| 546 |
+
Step 4220/20005 | Loss: 2.7836 | LR: 4.52e-04 | 2769.6ms/step | 8.7 samples/s
|
| 547 |
+
Step 4230/20005 | Loss: 2.6718 | LR: 4.52e-04 | 2764.7ms/step | 8.7 samples/s
|
| 548 |
+
Step 4240/20005 | Loss: 2.7567 | LR: 4.51e-04 | 2767.1ms/step | 8.7 samples/s
|
| 549 |
+
Step 4250/20005 | Loss: 2.8348 | LR: 4.51e-04 | 2767.5ms/step | 8.7 samples/s
|
| 550 |
+
Validation at step 4250: Loss = 2.7618, Perplexity = 15.83
|
| 551 |
+
Step 4260/20005 | Loss: 2.7017 | LR: 4.51e-04 | 22131.9ms/step | 1.1 samples/s
|
| 552 |
+
Step 4270/20005 | Loss: 2.7846 | LR: 4.51e-04 | 2765.3ms/step | 8.7 samples/s
|
| 553 |
+
Step 4280/20005 | Loss: 2.7096 | LR: 4.50e-04 | 2769.6ms/step | 8.7 samples/s
|
| 554 |
+
Step 4290/20005 | Loss: 2.7498 | LR: 4.50e-04 | 2766.4ms/step | 8.7 samples/s
|
| 555 |
+
Step 4300/20005 | Loss: 2.6812 | LR: 4.50e-04 | 2769.2ms/step | 8.7 samples/s
|
| 556 |
+
Step 4310/20005 | Loss: 2.7629 | LR: 4.50e-04 | 2769.9ms/step | 8.7 samples/s
|
| 557 |
+
Step 4320/20005 | Loss: 2.6984 | LR: 4.49e-04 | 2766.0ms/step | 8.7 samples/s
|
| 558 |
+
Step 4330/20005 | Loss: 2.7155 | LR: 4.49e-04 | 2767.9ms/step | 8.7 samples/s
|
| 559 |
+
Step 4340/20005 | Loss: 2.7935 | LR: 4.49e-04 | 2765.8ms/step | 8.7 samples/s
|
| 560 |
+
Step 4350/20005 | Loss: 2.7341 | LR: 4.49e-04 | 2765.1ms/step | 8.7 samples/s
|
| 561 |
+
Step 4360/20005 | Loss: 2.6406 | LR: 4.48e-04 | 2767.1ms/step | 8.7 samples/s
|
| 562 |
+
Step 4370/20005 | Loss: 2.7588 | LR: 4.48e-04 | 2766.0ms/step | 8.7 samples/s
|
| 563 |
+
Step 4380/20005 | Loss: 2.7810 | LR: 4.48e-04 | 2763.7ms/step | 8.7 samples/s
|
| 564 |
+
Step 4390/20005 | Loss: 2.7709 | LR: 4.48e-04 | 2763.1ms/step | 8.7 samples/s
|
| 565 |
+
Step 4400/20005 | Loss: 2.7984 | LR: 4.48e-04 | 2766.7ms/step | 8.7 samples/s
|
| 566 |
+
Step 4410/20005 | Loss: 2.7338 | LR: 4.47e-04 | 2770.7ms/step | 8.7 samples/s
|
| 567 |
+
Step 4420/20005 | Loss: 2.6995 | LR: 4.47e-04 | 2765.0ms/step | 8.7 samples/s
|
| 568 |
+
Step 4430/20005 | Loss: 2.7740 | LR: 4.47e-04 | 2763.3ms/step | 8.7 samples/s
|
| 569 |
+
Step 4440/20005 | Loss: 2.6960 | LR: 4.47e-04 | 2765.9ms/step | 8.7 samples/s
|
| 570 |
+
Step 4450/20005 | Loss: 2.7066 | LR: 4.46e-04 | 2766.0ms/step | 8.7 samples/s
|
| 571 |
+
Step 4460/20005 | Loss: 2.6740 | LR: 4.46e-04 | 2764.5ms/step | 8.7 samples/s
|
| 572 |
+
Step 4470/20005 | Loss: 2.8155 | LR: 4.46e-04 | 2764.7ms/step | 8.7 samples/s
|
| 573 |
+
Step 4480/20005 | Loss: 2.7172 | LR: 4.46e-04 | 2768.0ms/step | 8.7 samples/s
|
| 574 |
+
Step 4490/20005 | Loss: 2.8171 | LR: 4.45e-04 | 2767.4ms/step | 8.7 samples/s
|
| 575 |
+
Step 4500/20005 | Loss: 2.7639 | LR: 4.45e-04 | 2769.4ms/step | 8.7 samples/s
|
| 576 |
+
Validation at step 4500: Loss = 2.7426, Perplexity = 15.53
|
| 577 |
+
Step 4510/20005 | Loss: 2.7351 | LR: 4.45e-04 | 21973.1ms/step | 1.1 samples/s
|
| 578 |
+
Step 4520/20005 | Loss: 2.7427 | LR: 4.45e-04 | 2763.9ms/step | 8.7 samples/s
|
| 579 |
+
Step 4530/20005 | Loss: 2.7839 | LR: 4.44e-04 | 2765.5ms/step | 8.7 samples/s
|
| 580 |
+
Step 4540/20005 | Loss: 2.7950 | LR: 4.44e-04 | 2763.9ms/step | 8.7 samples/s
|
| 581 |
+
Step 4550/20005 | Loss: 2.7796 | LR: 4.44e-04 | 2765.0ms/step | 8.7 samples/s
|
| 582 |
+
Step 4560/20005 | Loss: 2.7147 | LR: 4.44e-04 | 2765.9ms/step | 8.7 samples/s
|
| 583 |
+
Step 4570/20005 | Loss: 2.7487 | LR: 4.43e-04 | 2764.6ms/step | 8.7 samples/s
|
| 584 |
+
Step 4580/20005 | Loss: 2.7514 | LR: 4.43e-04 | 2765.8ms/step | 8.7 samples/s
|
| 585 |
+
Step 4590/20005 | Loss: 2.7137 | LR: 4.43e-04 | 2762.6ms/step | 8.7 samples/s
|
| 586 |
+
Step 4600/20005 | Loss: 2.6685 | LR: 4.43e-04 | 2764.4ms/step | 8.7 samples/s
|
| 587 |
+
Step 4610/20005 | Loss: 2.7308 | LR: 4.42e-04 | 2768.0ms/step | 8.7 samples/s
|
| 588 |
+
Step 4620/20005 | Loss: 2.7484 | LR: 4.42e-04 | 2762.6ms/step | 8.7 samples/s
|
| 589 |
+
Step 4630/20005 | Loss: 2.6554 | LR: 4.42e-04 | 2765.9ms/step | 8.7 samples/s
|
| 590 |
+
Step 4640/20005 | Loss: 2.6362 | LR: 4.42e-04 | 2765.3ms/step | 8.7 samples/s
|
| 591 |
+
Step 4650/20005 | Loss: 2.7495 | LR: 4.41e-04 | 2768.4ms/step | 8.7 samples/s
|
| 592 |
+
Step 4660/20005 | Loss: 2.6244 | LR: 4.41e-04 | 2767.4ms/step | 8.7 samples/s
|
| 593 |
+
Step 4670/20005 | Loss: 2.7886 | LR: 4.41e-04 | 2765.3ms/step | 8.7 samples/s
|
| 594 |
+
Step 4680/20005 | Loss: 2.7609 | LR: 4.40e-04 | 2762.9ms/step | 8.7 samples/s
|
| 595 |
+
Step 4690/20005 | Loss: 2.6595 | LR: 4.40e-04 | 2765.0ms/step | 8.7 samples/s
|
| 596 |
+
Step 4700/20005 | Loss: 2.8031 | LR: 4.40e-04 | 2766.9ms/step | 8.7 samples/s
|
| 597 |
+
Step 4710/20005 | Loss: 2.7107 | LR: 4.40e-04 | 2762.6ms/step | 8.7 samples/s
|
| 598 |
+
Step 4720/20005 | Loss: 2.7735 | LR: 4.39e-04 | 2766.2ms/step | 8.7 samples/s
|
| 599 |
+
Step 4730/20005 | Loss: 2.6731 | LR: 4.39e-04 | 2764.6ms/step | 8.7 samples/s
|
| 600 |
+
Step 4740/20005 | Loss: 2.7261 | LR: 4.39e-04 | 2766.9ms/step | 8.7 samples/s
|
| 601 |
+
Step 4750/20005 | Loss: 2.6785 | LR: 4.39e-04 | 2763.3ms/step | 8.7 samples/s
|
| 602 |
+
Validation at step 4750: Loss = 2.7200, Perplexity = 15.18
|
| 603 |
+
Step 4760/20005 | Loss: 2.6945 | LR: 4.38e-04 | 21964.4ms/step | 1.1 samples/s
|
| 604 |
+
Step 4770/20005 | Loss: 2.7150 | LR: 4.38e-04 | 2763.8ms/step | 8.7 samples/s
|
| 605 |
+
Step 4780/20005 | Loss: 2.7114 | LR: 4.38e-04 | 2766.5ms/step | 8.7 samples/s
|
| 606 |
+
Step 4790/20005 | Loss: 2.6597 | LR: 4.38e-04 | 2764.2ms/step | 8.7 samples/s
|
| 607 |
+
Step 4800/20005 | Loss: 2.7140 | LR: 4.37e-04 | 2763.3ms/step | 8.7 samples/s
|
| 608 |
+
Step 4810/20005 | Loss: 2.7423 | LR: 4.37e-04 | 2763.7ms/step | 8.7 samples/s
|
| 609 |
+
Step 4820/20005 | Loss: 2.6910 | LR: 4.37e-04 | 2766.2ms/step | 8.7 samples/s
|
| 610 |
+
Step 4830/20005 | Loss: 2.6518 | LR: 4.37e-04 | 2767.0ms/step | 8.7 samples/s
|
| 611 |
+
Step 4840/20005 | Loss: 2.7702 | LR: 4.36e-04 | 2767.5ms/step | 8.7 samples/s
|
| 612 |
+
Step 4850/20005 | Loss: 2.8099 | LR: 4.36e-04 | 2764.8ms/step | 8.7 samples/s
|
| 613 |
+
Step 4860/20005 | Loss: 2.7664 | LR: 4.36e-04 | 2765.1ms/step | 8.7 samples/s
|
| 614 |
+
Step 4870/20005 | Loss: 2.6859 | LR: 4.36e-04 | 2762.8ms/step | 8.7 samples/s
|
| 615 |
+
Step 4880/20005 | Loss: 2.6813 | LR: 4.35e-04 | 2763.0ms/step | 8.7 samples/s
|
| 616 |
+
Step 4890/20005 | Loss: 2.6505 | LR: 4.35e-04 | 2762.0ms/step | 8.7 samples/s
|
| 617 |
+
Step 4900/20005 | Loss: 2.7570 | LR: 4.35e-04 | 2762.1ms/step | 8.7 samples/s
|
| 618 |
+
Step 4910/20005 | Loss: 2.7519 | LR: 4.34e-04 | 2766.9ms/step | 8.7 samples/s
|
| 619 |
+
Step 4920/20005 | Loss: 2.6848 | LR: 4.34e-04 | 2765.9ms/step | 8.7 samples/s
|
| 620 |
+
Step 4930/20005 | Loss: 2.6699 | LR: 4.34e-04 | 2765.6ms/step | 8.7 samples/s
|
| 621 |
+
Step 4940/20005 | Loss: 2.7109 | LR: 4.34e-04 | 2765.2ms/step | 8.7 samples/s
|
| 622 |
+
Step 4950/20005 | Loss: 2.6629 | LR: 4.33e-04 | 2762.1ms/step | 8.7 samples/s
|
| 623 |
+
Step 4960/20005 | Loss: 2.6472 | LR: 4.33e-04 | 2765.3ms/step | 8.7 samples/s
|
| 624 |
+
Step 4970/20005 | Loss: 2.6918 | LR: 4.33e-04 | 2766.4ms/step | 8.7 samples/s
|
| 625 |
+
Step 4980/20005 | Loss: 2.7816 | LR: 4.33e-04 | 2765.3ms/step | 8.7 samples/s
|
| 626 |
+
Step 4990/20005 | Loss: 2.7503 | LR: 4.32e-04 | 2764.0ms/step | 8.7 samples/s
|
| 627 |
+
Step 5000/20005 | Loss: 2.7702 | LR: 4.32e-04 | 2766.6ms/step | 8.7 samples/s
|
| 628 |
+
Validation at step 5000: Loss = 2.7018, Perplexity = 14.91
|
| 629 |
+
Step 5010/20005 | Loss: 2.6438 | LR: 4.32e-04 | 21969.5ms/step | 1.1 samples/s
|
| 630 |
+
Step 5020/20005 | Loss: 2.6652 | LR: 4.31e-04 | 2767.1ms/step | 8.7 samples/s
|
| 631 |
+
Step 5030/20005 | Loss: 2.6268 | LR: 4.31e-04 | 2764.6ms/step | 8.7 samples/s
|
| 632 |
+
Step 5040/20005 | Loss: 2.5776 | LR: 4.31e-04 | 2766.6ms/step | 8.7 samples/s
|
| 633 |
+
Step 5050/20005 | Loss: 2.6962 | LR: 4.31e-04 | 2765.4ms/step | 8.7 samples/s
|
| 634 |
+
Step 5060/20005 | Loss: 2.6247 | LR: 4.30e-04 | 2765.7ms/step | 8.7 samples/s
|
| 635 |
+
Step 5070/20005 | Loss: 2.6051 | LR: 4.30e-04 | 2766.1ms/step | 8.7 samples/s
|
| 636 |
+
Step 5080/20005 | Loss: 2.7289 | LR: 4.30e-04 | 2764.9ms/step | 8.7 samples/s
|
| 637 |
+
Step 5090/20005 | Loss: 2.7074 | LR: 4.30e-04 | 2762.4ms/step | 8.7 samples/s
|
| 638 |
+
Step 5100/20005 | Loss: 2.7233 | LR: 4.29e-04 | 2762.3ms/step | 8.7 samples/s
|
| 639 |
+
Step 5110/20005 | Loss: 2.7697 | LR: 4.29e-04 | 2761.1ms/step | 8.7 samples/s
|
| 640 |
+
Step 5120/20005 | Loss: 2.6037 | LR: 4.29e-04 | 2865.4ms/step | 8.4 samples/s
|
| 641 |
+
Step 5130/20005 | Loss: 2.6507 | LR: 4.28e-04 | 2762.9ms/step | 8.7 samples/s
|
| 642 |
+
Step 5140/20005 | Loss: 2.6740 | LR: 4.28e-04 | 2764.5ms/step | 8.7 samples/s
|
| 643 |
+
Step 5150/20005 | Loss: 2.6789 | LR: 4.28e-04 | 2761.5ms/step | 8.7 samples/s
|
| 644 |
+
Step 5160/20005 | Loss: 2.7714 | LR: 4.28e-04 | 2764.5ms/step | 8.7 samples/s
|
| 645 |
+
Step 5170/20005 | Loss: 2.7007 | LR: 4.27e-04 | 2764.0ms/step | 8.7 samples/s
|
| 646 |
+
Step 5180/20005 | Loss: 2.6848 | LR: 4.27e-04 | 2763.3ms/step | 8.7 samples/s
|
| 647 |
+
Step 5190/20005 | Loss: 2.7033 | LR: 4.27e-04 | 2761.1ms/step | 8.7 samples/s
|
| 648 |
+
Step 5200/20005 | Loss: 2.7223 | LR: 4.26e-04 | 2761.8ms/step | 8.7 samples/s
|
| 649 |
+
Step 5210/20005 | Loss: 2.7041 | LR: 4.26e-04 | 2763.0ms/step | 8.7 samples/s
|
| 650 |
+
Step 5220/20005 | Loss: 2.6058 | LR: 4.26e-04 | 2763.7ms/step | 8.7 samples/s
|
| 651 |
+
Step 5230/20005 | Loss: 2.6615 | LR: 4.26e-04 | 2765.9ms/step | 8.7 samples/s
|
| 652 |
+
Step 5240/20005 | Loss: 2.7441 | LR: 4.25e-04 | 2767.0ms/step | 8.7 samples/s
|
| 653 |
+
Step 5250/20005 | Loss: 2.6789 | LR: 4.25e-04 | 2763.1ms/step | 8.7 samples/s
|
| 654 |
+
Validation at step 5250: Loss = 2.6861, Perplexity = 14.67
|
| 655 |
+
Step 5260/20005 | Loss: 2.6876 | LR: 4.25e-04 | 21964.9ms/step | 1.1 samples/s
|
| 656 |
+
Step 5270/20005 | Loss: 2.7078 | LR: 4.24e-04 | 2765.7ms/step | 8.7 samples/s
|
| 657 |
+
Step 5280/20005 | Loss: 2.6526 | LR: 4.24e-04 | 2764.5ms/step | 8.7 samples/s
|
| 658 |
+
Step 5290/20005 | Loss: 2.6688 | LR: 4.24e-04 | 2770.2ms/step | 8.7 samples/s
|
| 659 |
+
Step 5300/20005 | Loss: 2.6336 | LR: 4.24e-04 | 2766.0ms/step | 8.7 samples/s
|
| 660 |
+
Step 5310/20005 | Loss: 2.6459 | LR: 4.23e-04 | 2766.9ms/step | 8.7 samples/s
|
| 661 |
+
Step 5320/20005 | Loss: 2.6522 | LR: 4.23e-04 | 2766.0ms/step | 8.7 samples/s
|
| 662 |
+
Step 5330/20005 | Loss: 2.6324 | LR: 4.23e-04 | 2762.2ms/step | 8.7 samples/s
|
| 663 |
+
Step 5340/20005 | Loss: 2.5976 | LR: 4.22e-04 | 2762.4ms/step | 8.7 samples/s
|
| 664 |
+
Step 5350/20005 | Loss: 2.6870 | LR: 4.22e-04 | 2761.9ms/step | 8.7 samples/s
|
| 665 |
+
Step 5360/20005 | Loss: 2.6704 | LR: 4.22e-04 | 2766.8ms/step | 8.7 samples/s
|
| 666 |
+
Step 5370/20005 | Loss: 2.6955 | LR: 4.22e-04 | 2763.4ms/step | 8.7 samples/s
|
| 667 |
+
Step 5380/20005 | Loss: 2.5855 | LR: 4.21e-04 | 2765.6ms/step | 8.7 samples/s
|
| 668 |
+
Step 5390/20005 | Loss: 2.7164 | LR: 4.21e-04 | 2766.0ms/step | 8.7 samples/s
|
| 669 |
+
Step 5400/20005 | Loss: 2.6712 | LR: 4.21e-04 | 2764.2ms/step | 8.7 samples/s
|
| 670 |
+
Step 5410/20005 | Loss: 2.6456 | LR: 4.20e-04 | 2761.9ms/step | 8.7 samples/s
|
| 671 |
+
Step 5420/20005 | Loss: 2.6285 | LR: 4.20e-04 | 2764.3ms/step | 8.7 samples/s
|
| 672 |
+
Step 5430/20005 | Loss: 2.6408 | LR: 4.20e-04 | 2766.2ms/step | 8.7 samples/s
|
| 673 |
+
Step 5440/20005 | Loss: 2.6559 | LR: 4.20e-04 | 2765.6ms/step | 8.7 samples/s
|
| 674 |
+
Step 5450/20005 | Loss: 2.6147 | LR: 4.19e-04 | 2767.3ms/step | 8.7 samples/s
|
| 675 |
+
Step 5460/20005 | Loss: 2.6209 | LR: 4.19e-04 | 2764.6ms/step | 8.7 samples/s
|
| 676 |
+
Step 5470/20005 | Loss: 2.6592 | LR: 4.19e-04 | 2764.4ms/step | 8.7 samples/s
|
| 677 |
+
Step 5480/20005 | Loss: 2.6033 | LR: 4.18e-04 | 2760.0ms/step | 8.7 samples/s
|
| 678 |
+
Step 5490/20005 | Loss: 2.6673 | LR: 4.18e-04 | 2762.9ms/step | 8.7 samples/s
|
| 679 |
+
Step 5500/20005 | Loss: 2.6877 | LR: 4.18e-04 | 2763.9ms/step | 8.7 samples/s
|
| 680 |
+
Validation at step 5500: Loss = 2.6726, Perplexity = 14.48
|
| 681 |
+
Step 5510/20005 | Loss: 2.6529 | LR: 4.18e-04 | 21962.5ms/step | 1.1 samples/s
|
| 682 |
+
Step 5520/20005 | Loss: 2.6756 | LR: 4.17e-04 | 2766.7ms/step | 8.7 samples/s
|
| 683 |
+
Step 5530/20005 | Loss: 2.6052 | LR: 4.17e-04 | 2763.7ms/step | 8.7 samples/s
|
| 684 |
+
Step 5540/20005 | Loss: 2.6064 | LR: 4.17e-04 | 2763.5ms/step | 8.7 samples/s
|
| 685 |
+
Step 5550/20005 | Loss: 2.6041 | LR: 4.16e-04 | 2761.9ms/step | 8.7 samples/s
|
| 686 |
+
Step 5560/20005 | Loss: 2.6273 | LR: 4.16e-04 | 2770.2ms/step | 8.7 samples/s
|
| 687 |
+
Step 5570/20005 | Loss: 2.7686 | LR: 4.16e-04 | 2763.9ms/step | 8.7 samples/s
|
| 688 |
+
Step 5580/20005 | Loss: 2.6896 | LR: 4.15e-04 | 2765.1ms/step | 8.7 samples/s
|
| 689 |
+
Step 5590/20005 | Loss: 2.6473 | LR: 4.15e-04 | 2761.7ms/step | 8.7 samples/s
|
| 690 |
+
Step 5600/20005 | Loss: 2.6861 | LR: 4.15e-04 | 2762.3ms/step | 8.7 samples/s
|
| 691 |
+
Step 5610/20005 | Loss: 2.6353 | LR: 4.15e-04 | 2763.5ms/step | 8.7 samples/s
|
| 692 |
+
Step 5620/20005 | Loss: 2.6585 | LR: 4.14e-04 | 2765.8ms/step | 8.7 samples/s
|
| 693 |
+
Step 5630/20005 | Loss: 2.6793 | LR: 4.14e-04 | 2763.9ms/step | 8.7 samples/s
|
| 694 |
+
Step 5640/20005 | Loss: 2.6824 | LR: 4.14e-04 | 2764.7ms/step | 8.7 samples/s
|
| 695 |
+
Step 5650/20005 | Loss: 2.7052 | LR: 4.13e-04 | 2765.8ms/step | 8.7 samples/s
|
| 696 |
+
Step 5660/20005 | Loss: 2.5707 | LR: 4.13e-04 | 2758.3ms/step | 8.7 samples/s
|
| 697 |
+
Step 5670/20005 | Loss: 2.6507 | LR: 4.13e-04 | 2763.3ms/step | 8.7 samples/s
|
| 698 |
+
Step 5680/20005 | Loss: 2.5944 | LR: 4.12e-04 | 2768.0ms/step | 8.7 samples/s
|
| 699 |
+
Step 5690/20005 | Loss: 2.6114 | LR: 4.12e-04 | 2763.1ms/step | 8.7 samples/s
|
| 700 |
+
Step 5700/20005 | Loss: 2.7112 | LR: 4.12e-04 | 2767.3ms/step | 8.7 samples/s
|
| 701 |
+
Step 5710/20005 | Loss: 2.6522 | LR: 4.12e-04 | 2765.4ms/step | 8.7 samples/s
|
| 702 |
+
Step 5720/20005 | Loss: 2.6696 | LR: 4.11e-04 | 2763.0ms/step | 8.7 samples/s
|
| 703 |
+
Step 5730/20005 | Loss: 2.7241 | LR: 4.11e-04 | 2767.4ms/step | 8.7 samples/s
|
| 704 |
+
Step 5740/20005 | Loss: 2.6338 | LR: 4.11e-04 | 2766.1ms/step | 8.7 samples/s
|
| 705 |
+
Step 5750/20005 | Loss: 2.6533 | LR: 4.10e-04 | 2768.5ms/step | 8.7 samples/s
|
| 706 |
+
Validation at step 5750: Loss = 2.6558, Perplexity = 14.24
|
| 707 |
+
Step 5760/20005 | Loss: 2.6337 | LR: 4.10e-04 | 21964.0ms/step | 1.1 samples/s
|
| 708 |
+
Step 5770/20005 | Loss: 2.6661 | LR: 4.10e-04 | 2766.3ms/step | 8.7 samples/s
|
| 709 |
+
Step 5780/20005 | Loss: 2.6966 | LR: 4.09e-04 | 2763.4ms/step | 8.7 samples/s
|
| 710 |
+
Step 5790/20005 | Loss: 2.6534 | LR: 4.09e-04 | 2762.8ms/step | 8.7 samples/s
|
| 711 |
+
Step 5800/20005 | Loss: 2.7228 | LR: 4.09e-04 | 2762.7ms/step | 8.7 samples/s
|
| 712 |
+
Step 5810/20005 | Loss: 2.7748 | LR: 4.08e-04 | 2761.7ms/step | 8.7 samples/s
|
| 713 |
+
Step 5820/20005 | Loss: 2.6906 | LR: 4.08e-04 | 2761.8ms/step | 8.7 samples/s
|
| 714 |
+
Step 5830/20005 | Loss: 2.6230 | LR: 4.08e-04 | 2762.5ms/step | 8.7 samples/s
|
| 715 |
+
Step 5840/20005 | Loss: 2.6334 | LR: 4.08e-04 | 2766.7ms/step | 8.7 samples/s
|
| 716 |
+
Step 5850/20005 | Loss: 2.7509 | LR: 4.07e-04 | 2762.4ms/step | 8.7 samples/s
|
| 717 |
+
Step 5860/20005 | Loss: 2.6063 | LR: 4.07e-04 | 2762.2ms/step | 8.7 samples/s
|
| 718 |
+
Step 5870/20005 | Loss: 2.6165 | LR: 4.07e-04 | 2767.2ms/step | 8.7 samples/s
|
| 719 |
+
Step 5880/20005 | Loss: 2.6796 | LR: 4.06e-04 | 2765.8ms/step | 8.7 samples/s
|
| 720 |
+
Step 5890/20005 | Loss: 2.6277 | LR: 4.06e-04 | 2765.2ms/step | 8.7 samples/s
|
| 721 |
+
Step 5900/20005 | Loss: 2.6580 | LR: 4.06e-04 | 2766.4ms/step | 8.7 samples/s
|
| 722 |
+
Step 5910/20005 | Loss: 2.5867 | LR: 4.05e-04 | 2766.3ms/step | 8.7 samples/s
|
| 723 |
+
Step 5920/20005 | Loss: 2.6735 | LR: 4.05e-04 | 2765.2ms/step | 8.7 samples/s
|
| 724 |
+
Step 5930/20005 | Loss: 2.6915 | LR: 4.05e-04 | 2768.4ms/step | 8.7 samples/s
|
| 725 |
+
Step 5940/20005 | Loss: 2.6428 | LR: 4.04e-04 | 2767.3ms/step | 8.7 samples/s
|
| 726 |
+
Step 5950/20005 | Loss: 2.5878 | LR: 4.04e-04 | 2767.3ms/step | 8.7 samples/s
|
| 727 |
+
Step 5960/20005 | Loss: 2.5788 | LR: 4.04e-04 | 2767.4ms/step | 8.7 samples/s
|
| 728 |
+
Step 5970/20005 | Loss: 2.6282 | LR: 4.04e-04 | 2765.6ms/step | 8.7 samples/s
|
| 729 |
+
Step 5980/20005 | Loss: 2.6048 | LR: 4.03e-04 | 2864.6ms/step | 8.4 samples/s
|
| 730 |
+
Step 5990/20005 | Loss: 2.6510 | LR: 4.03e-04 | 2763.7ms/step | 8.7 samples/s
|
| 731 |
+
Step 6000/20005 | Loss: 2.7637 | LR: 4.03e-04 | 2766.4ms/step | 8.7 samples/s
|
| 732 |
+
Validation at step 6000: Loss = 2.6425, Perplexity = 14.05
|
| 733 |
+
Saved checkpoint to checkpoints/run_20260506_193527/checkpoint-6000
|
| 734 |
+
Step 6010/20005 | Loss: 2.6562 | LR: 4.02e-04 | 22568.8ms/step | 1.1 samples/s
|
| 735 |
+
Step 6020/20005 | Loss: 2.6335 | LR: 4.02e-04 | 2762.0ms/step | 8.7 samples/s
|
| 736 |
+
Step 6030/20005 | Loss: 2.6699 | LR: 4.02e-04 | 2767.2ms/step | 8.7 samples/s
|
| 737 |
+
Step 6040/20005 | Loss: 2.5419 | LR: 4.01e-04 | 2764.6ms/step | 8.7 samples/s
|
| 738 |
+
Step 6050/20005 | Loss: 2.5430 | LR: 4.01e-04 | 2765.5ms/step | 8.7 samples/s
|
| 739 |
+
Step 6060/20005 | Loss: 2.6453 | LR: 4.01e-04 | 2764.6ms/step | 8.7 samples/s
|
| 740 |
+
Step 6070/20005 | Loss: 2.6056 | LR: 4.00e-04 | 2770.5ms/step | 8.7 samples/s
|
| 741 |
+
Step 6080/20005 | Loss: 2.6331 | LR: 4.00e-04 | 2765.6ms/step | 8.7 samples/s
|
| 742 |
+
Step 6090/20005 | Loss: 2.6308 | LR: 4.00e-04 | 2763.2ms/step | 8.7 samples/s
|
| 743 |
+
Step 6100/20005 | Loss: 2.6570 | LR: 3.99e-04 | 2766.4ms/step | 8.7 samples/s
|
| 744 |
+
Step 6110/20005 | Loss: 2.6833 | LR: 3.99e-04 | 2765.7ms/step | 8.7 samples/s
|
| 745 |
+
Step 6120/20005 | Loss: 2.6174 | LR: 3.99e-04 | 2765.9ms/step | 8.7 samples/s
|
| 746 |
+
Step 6130/20005 | Loss: 2.7034 | LR: 3.98e-04 | 2767.1ms/step | 8.7 samples/s
|
| 747 |
+
Step 6140/20005 | Loss: 2.6509 | LR: 3.98e-04 | 2767.5ms/step | 8.7 samples/s
|
| 748 |
+
Step 6150/20005 | Loss: 2.5769 | LR: 3.98e-04 | 2767.3ms/step | 8.7 samples/s
|
| 749 |
+
Step 6160/20005 | Loss: 2.5485 | LR: 3.97e-04 | 2767.0ms/step | 8.7 samples/s
|
| 750 |
+
Step 6170/20005 | Loss: 2.6329 | LR: 3.97e-04 | 2768.4ms/step | 8.7 samples/s
|
| 751 |
+
Step 6180/20005 | Loss: 2.5328 | LR: 3.97e-04 | 2768.9ms/step | 8.7 samples/s
|
| 752 |
+
Step 6190/20005 | Loss: 2.6455 | LR: 3.97e-04 | 2763.9ms/step | 8.7 samples/s
|
| 753 |
+
Step 6200/20005 | Loss: 2.6515 | LR: 3.96e-04 | 2766.1ms/step | 8.7 samples/s
|
| 754 |
+
Step 6210/20005 | Loss: 2.5982 | LR: 3.96e-04 | 2763.8ms/step | 8.7 samples/s
|
| 755 |
+
Step 6220/20005 | Loss: 2.6930 | LR: 3.96e-04 | 2767.7ms/step | 8.7 samples/s
|
| 756 |
+
Step 6230/20005 | Loss: 2.5672 | LR: 3.95e-04 | 2765.1ms/step | 8.7 samples/s
|
| 757 |
+
Step 6240/20005 | Loss: 2.5973 | LR: 3.95e-04 | 2763.5ms/step | 8.7 samples/s
|
| 758 |
+
Step 6250/20005 | Loss: 2.5916 | LR: 3.95e-04 | 2762.5ms/step | 8.7 samples/s
|
| 759 |
+
Validation at step 6250: Loss = 2.6309, Perplexity = 13.89
|
| 760 |
+
Step 6260/20005 | Loss: 2.6581 | LR: 3.94e-04 | 21968.0ms/step | 1.1 samples/s
|
| 761 |
+
Step 6270/20005 | Loss: 2.6055 | LR: 3.94e-04 | 2764.7ms/step | 8.7 samples/s
|
| 762 |
+
Step 6280/20005 | Loss: 2.6417 | LR: 3.94e-04 | 2762.6ms/step | 8.7 samples/s
|
| 763 |
+
Step 6290/20005 | Loss: 2.6783 | LR: 3.93e-04 | 2761.0ms/step | 8.7 samples/s
|
| 764 |
+
Step 6300/20005 | Loss: 2.6729 | LR: 3.93e-04 | 2763.4ms/step | 8.7 samples/s
|
| 765 |
+
Step 6310/20005 | Loss: 2.6320 | LR: 3.93e-04 | 2762.7ms/step | 8.7 samples/s
|
| 766 |
+
Step 6320/20005 | Loss: 2.5612 | LR: 3.92e-04 | 2761.3ms/step | 8.7 samples/s
|
| 767 |
+
Step 6330/20005 | Loss: 2.5866 | LR: 3.92e-04 | 2761.6ms/step | 8.7 samples/s
|
| 768 |
+
Step 6340/20005 | Loss: 2.6301 | LR: 3.92e-04 | 2764.0ms/step | 8.7 samples/s
|
| 769 |
+
Step 6350/20005 | Loss: 2.5445 | LR: 3.91e-04 | 2766.1ms/step | 8.7 samples/s
|
| 770 |
+
Step 6360/20005 | Loss: 2.5546 | LR: 3.91e-04 | 2765.4ms/step | 8.7 samples/s
|
| 771 |
+
Step 6370/20005 | Loss: 2.7786 | LR: 3.91e-04 | 2763.2ms/step | 8.7 samples/s
|
| 772 |
+
Step 6380/20005 | Loss: 2.5914 | LR: 3.90e-04 | 2769.9ms/step | 8.7 samples/s
|
| 773 |
+
Step 6390/20005 | Loss: 2.6088 | LR: 3.90e-04 | 2771.8ms/step | 8.7 samples/s
|
| 774 |
+
Step 6400/20005 | Loss: 2.6287 | LR: 3.90e-04 | 2765.3ms/step | 8.7 samples/s
|
| 775 |
+
Step 6410/20005 | Loss: 2.6515 | LR: 3.89e-04 | 2764.3ms/step | 8.7 samples/s
|
| 776 |
+
Step 6420/20005 | Loss: 2.6463 | LR: 3.89e-04 | 2763.3ms/step | 8.7 samples/s
|
| 777 |
+
Step 6430/20005 | Loss: 2.6461 | LR: 3.89e-04 | 2766.7ms/step | 8.7 samples/s
|
| 778 |
+
Step 6440/20005 | Loss: 2.5537 | LR: 3.88e-04 | 2766.3ms/step | 8.7 samples/s
|
| 779 |
+
Step 6450/20005 | Loss: 2.5675 | LR: 3.88e-04 | 2765.7ms/step | 8.7 samples/s
|
| 780 |
+
Step 6460/20005 | Loss: 2.6336 | LR: 3.88e-04 | 2768.5ms/step | 8.7 samples/s
|
| 781 |
+
Step 6470/20005 | Loss: 2.6412 | LR: 3.87e-04 | 2764.8ms/step | 8.7 samples/s
|
| 782 |
+
Step 6480/20005 | Loss: 2.6998 | LR: 3.87e-04 | 2764.9ms/step | 8.7 samples/s
|
| 783 |
+
Step 6490/20005 | Loss: 2.5815 | LR: 3.87e-04 | 2765.4ms/step | 8.7 samples/s
|
| 784 |
+
Step 6500/20005 | Loss: 2.6082 | LR: 3.86e-04 | 2770.4ms/step | 8.7 samples/s
|
| 785 |
+
Validation at step 6500: Loss = 2.6169, Perplexity = 13.69
|
| 786 |
+
Step 6510/20005 | Loss: 2.5293 | LR: 3.86e-04 | 21968.3ms/step | 1.1 samples/s
|
| 787 |
+
Step 6520/20005 | Loss: 2.4751 | LR: 3.86e-04 | 2767.6ms/step | 8.7 samples/s
|
| 788 |
+
Step 6530/20005 | Loss: 2.6060 | LR: 3.85e-04 | 2765.7ms/step | 8.7 samples/s
|
| 789 |
+
Step 6540/20005 | Loss: 2.6028 | LR: 3.85e-04 | 2762.1ms/step | 8.7 samples/s
|
| 790 |
+
Step 6550/20005 | Loss: 2.5768 | LR: 3.85e-04 | 2766.6ms/step | 8.7 samples/s
|
| 791 |
+
Step 6560/20005 | Loss: 2.5611 | LR: 3.84e-04 | 2765.2ms/step | 8.7 samples/s
|
| 792 |
+
Step 6570/20005 | Loss: 2.6162 | LR: 3.84e-04 | 2764.1ms/step | 8.7 samples/s
|
| 793 |
+
Step 6580/20005 | Loss: 2.5734 | LR: 3.84e-04 | 2765.1ms/step | 8.7 samples/s
|
| 794 |
+
Step 6590/20005 | Loss: 2.6180 | LR: 3.83e-04 | 2766.4ms/step | 8.7 samples/s
|
| 795 |
+
Step 6600/20005 | Loss: 2.6397 | LR: 3.83e-04 | 2766.4ms/step | 8.7 samples/s
|
| 796 |
+
Step 6610/20005 | Loss: 2.5881 | LR: 3.83e-04 | 2765.5ms/step | 8.7 samples/s
|
| 797 |
+
Step 6620/20005 | Loss: 2.5225 | LR: 3.82e-04 | 2766.5ms/step | 8.7 samples/s
|
| 798 |
+
Step 6630/20005 | Loss: 2.5697 | LR: 3.82e-04 | 2764.2ms/step | 8.7 samples/s
|
| 799 |
+
Step 6640/20005 | Loss: 2.5826 | LR: 3.82e-04 | 2768.8ms/step | 8.7 samples/s
|
| 800 |
+
Step 6650/20005 | Loss: 2.6739 | LR: 3.81e-04 | 2768.9ms/step | 8.7 samples/s
|
| 801 |
+
Step 6660/20005 | Loss: 2.5233 | LR: 3.81e-04 | 2764.2ms/step | 8.7 samples/s
|
| 802 |
+
Step 6670/20005 | Loss: 2.5347 | LR: 3.81e-04 | 2763.7ms/step | 8.7 samples/s
|
| 803 |
+
Step 6680/20005 | Loss: 2.5876 | LR: 3.80e-04 | 2765.5ms/step | 8.7 samples/s
|
| 804 |
+
Step 6690/20005 | Loss: 2.5315 | LR: 3.80e-04 | 2767.4ms/step | 8.7 samples/s
|
| 805 |
+
Step 6700/20005 | Loss: 2.5786 | LR: 3.80e-04 | 2764.3ms/step | 8.7 samples/s
|
| 806 |
+
Step 6710/20005 | Loss: 2.5761 | LR: 3.79e-04 | 2763.6ms/step | 8.7 samples/s
|
| 807 |
+
Step 6720/20005 | Loss: 2.5733 | LR: 3.79e-04 | 2766.3ms/step | 8.7 samples/s
|
| 808 |
+
Step 6730/20005 | Loss: 2.5776 | LR: 3.79e-04 | 2765.6ms/step | 8.7 samples/s
|
| 809 |
+
Step 6740/20005 | Loss: 2.6488 | LR: 3.78e-04 | 2765.5ms/step | 8.7 samples/s
|
| 810 |
+
Step 6750/20005 | Loss: 2.6005 | LR: 3.78e-04 | 2765.7ms/step | 8.7 samples/s
|
| 811 |
+
Validation at step 6750: Loss = 2.6055, Perplexity = 13.54
|
| 812 |
+
Step 6760/20005 | Loss: 2.6373 | LR: 3.78e-04 | 21969.5ms/step | 1.1 samples/s
|
| 813 |
+
Step 6770/20005 | Loss: 2.5891 | LR: 3.77e-04 | 2762.9ms/step | 8.7 samples/s
|
| 814 |
+
Step 6780/20005 | Loss: 2.5608 | LR: 3.77e-04 | 2762.9ms/step | 8.7 samples/s
|
| 815 |
+
Step 6790/20005 | Loss: 2.5636 | LR: 3.77e-04 | 2761.1ms/step | 8.7 samples/s
|
| 816 |
+
Step 6800/20005 | Loss: 2.5967 | LR: 3.76e-04 | 2765.8ms/step | 8.7 samples/s
|
| 817 |
+
Step 6810/20005 | Loss: 2.6028 | LR: 3.76e-04 | 2766.8ms/step | 8.7 samples/s
|
| 818 |
+
Step 6820/20005 | Loss: 2.6290 | LR: 3.76e-04 | 2764.0ms/step | 8.7 samples/s
|
| 819 |
+
Step 6830/20005 | Loss: 2.6022 | LR: 3.75e-04 | 2868.3ms/step | 8.4 samples/s
|
| 820 |
+
Step 6840/20005 | Loss: 2.6116 | LR: 3.75e-04 | 2763.2ms/step | 8.7 samples/s
|
| 821 |
+
Step 6850/20005 | Loss: 2.5353 | LR: 3.74e-04 | 2765.6ms/step | 8.7 samples/s
|
| 822 |
+
Step 6860/20005 | Loss: 2.5284 | LR: 3.74e-04 | 2762.4ms/step | 8.7 samples/s
|
| 823 |
+
Step 6870/20005 | Loss: 2.6421 | LR: 3.74e-04 | 2766.9ms/step | 8.7 samples/s
|
| 824 |
+
Step 6880/20005 | Loss: 2.5277 | LR: 3.73e-04 | 2766.0ms/step | 8.7 samples/s
|
| 825 |
+
Step 6890/20005 | Loss: 2.5660 | LR: 3.73e-04 | 2768.8ms/step | 8.7 samples/s
|
| 826 |
+
Step 6900/20005 | Loss: 2.5597 | LR: 3.73e-04 | 2767.4ms/step | 8.7 samples/s
|
| 827 |
+
Step 6910/20005 | Loss: 2.6820 | LR: 3.72e-04 | 2766.2ms/step | 8.7 samples/s
|
| 828 |
+
Step 6920/20005 | Loss: 2.6180 | LR: 3.72e-04 | 2769.3ms/step | 8.7 samples/s
|
| 829 |
+
Step 6930/20005 | Loss: 2.5491 | LR: 3.72e-04 | 2768.3ms/step | 8.7 samples/s
|
| 830 |
+
Step 6940/20005 | Loss: 2.6398 | LR: 3.71e-04 | 2766.9ms/step | 8.7 samples/s
|
| 831 |
+
Step 6950/20005 | Loss: 2.6003 | LR: 3.71e-04 | 2764.2ms/step | 8.7 samples/s
|
| 832 |
+
Step 6960/20005 | Loss: 2.5085 | LR: 3.71e-04 | 2768.1ms/step | 8.7 samples/s
|
| 833 |
+
Step 6970/20005 | Loss: 2.6305 | LR: 3.70e-04 | 2768.6ms/step | 8.7 samples/s
|
| 834 |
+
Step 6980/20005 | Loss: 2.5444 | LR: 3.70e-04 | 2768.1ms/step | 8.7 samples/s
|
| 835 |
+
Step 6990/20005 | Loss: 2.5377 | LR: 3.70e-04 | 2765.8ms/step | 8.7 samples/s
|
| 836 |
+
Step 7000/20005 | Loss: 2.6042 | LR: 3.69e-04 | 2769.1ms/step | 8.7 samples/s
|
| 837 |
+
Validation at step 7000: Loss = 2.5959, Perplexity = 13.41
|
| 838 |
+
Step 7010/20005 | Loss: 2.5834 | LR: 3.69e-04 | 21967.4ms/step | 1.1 samples/s
|
| 839 |
+
Step 7020/20005 | Loss: 2.5853 | LR: 3.69e-04 | 2762.8ms/step | 8.7 samples/s
|
| 840 |
+
Step 7030/20005 | Loss: 2.5845 | LR: 3.68e-04 | 2763.8ms/step | 8.7 samples/s
|
| 841 |
+
Step 7040/20005 | Loss: 2.5510 | LR: 3.68e-04 | 2764.6ms/step | 8.7 samples/s
|
| 842 |
+
Step 7050/20005 | Loss: 2.5967 | LR: 3.68e-04 | 2763.9ms/step | 8.7 samples/s
|
| 843 |
+
Step 7060/20005 | Loss: 2.4814 | LR: 3.67e-04 | 2768.3ms/step | 8.7 samples/s
|
| 844 |
+
Step 7070/20005 | Loss: 2.6303 | LR: 3.67e-04 | 2765.3ms/step | 8.7 samples/s
|
| 845 |
+
Step 7080/20005 | Loss: 2.5425 | LR: 3.66e-04 | 2765.1ms/step | 8.7 samples/s
|
| 846 |
+
Step 7090/20005 | Loss: 2.5633 | LR: 3.66e-04 | 2766.3ms/step | 8.7 samples/s
|
| 847 |
+
Step 7100/20005 | Loss: 2.5312 | LR: 3.66e-04 | 2761.8ms/step | 8.7 samples/s
|
| 848 |
+
Step 7110/20005 | Loss: 2.5015 | LR: 3.65e-04 | 2762.4ms/step | 8.7 samples/s
|
| 849 |
+
Step 7120/20005 | Loss: 2.5057 | LR: 3.65e-04 | 2767.0ms/step | 8.7 samples/s
|
| 850 |
+
Step 7130/20005 | Loss: 2.5481 | LR: 3.65e-04 | 2766.7ms/step | 8.7 samples/s
|
| 851 |
+
Step 7140/20005 | Loss: 2.5795 | LR: 3.64e-04 | 2766.2ms/step | 8.7 samples/s
|
| 852 |
+
Step 7150/20005 | Loss: 2.5532 | LR: 3.64e-04 | 2765.7ms/step | 8.7 samples/s
|
| 853 |
+
Step 7160/20005 | Loss: 2.5427 | LR: 3.64e-04 | 2765.6ms/step | 8.7 samples/s
|
| 854 |
+
Step 7170/20005 | Loss: 2.6414 | LR: 3.63e-04 | 2765.2ms/step | 8.7 samples/s
|
| 855 |
+
Step 7180/20005 | Loss: 2.5271 | LR: 3.63e-04 | 2763.0ms/step | 8.7 samples/s
|
| 856 |
+
Step 7190/20005 | Loss: 2.6377 | LR: 3.63e-04 | 2761.4ms/step | 8.7 samples/s
|
| 857 |
+
Step 7200/20005 | Loss: 2.6102 | LR: 3.62e-04 | 2763.4ms/step | 8.7 samples/s
|
| 858 |
+
Step 7210/20005 | Loss: 2.6331 | LR: 3.62e-04 | 2761.6ms/step | 8.7 samples/s
|
| 859 |
+
Step 7220/20005 | Loss: 2.6490 | LR: 3.62e-04 | 2763.8ms/step | 8.7 samples/s
|
| 860 |
+
Step 7230/20005 | Loss: 2.6052 | LR: 3.61e-04 | 2765.3ms/step | 8.7 samples/s
|
| 861 |
+
Step 7240/20005 | Loss: 2.5892 | LR: 3.61e-04 | 2767.5ms/step | 8.7 samples/s
|
| 862 |
+
Step 7250/20005 | Loss: 2.5862 | LR: 3.60e-04 | 2765.2ms/step | 8.7 samples/s
|
| 863 |
+
Validation at step 7250: Loss = 2.5840, Perplexity = 13.25
|
| 864 |
+
Step 7260/20005 | Loss: 2.5554 | LR: 3.60e-04 | 21964.4ms/step | 1.1 samples/s
|
| 865 |
+
Step 7270/20005 | Loss: 2.5625 | LR: 3.60e-04 | 2765.7ms/step | 8.7 samples/s
|
| 866 |
+
Step 7280/20005 | Loss: 2.5111 | LR: 3.59e-04 | 2765.7ms/step | 8.7 samples/s
|
| 867 |
+
Step 7290/20005 | Loss: 2.5650 | LR: 3.59e-04 | 2764.6ms/step | 8.7 samples/s
|
| 868 |
+
Step 7300/20005 | Loss: 2.5752 | LR: 3.59e-04 | 2762.9ms/step | 8.7 samples/s
|
| 869 |
+
Step 7310/20005 | Loss: 2.5519 | LR: 3.58e-04 | 2766.3ms/step | 8.7 samples/s
|
| 870 |
+
Step 7320/20005 | Loss: 2.6345 | LR: 3.58e-04 | 2764.0ms/step | 8.7 samples/s
|
| 871 |
+
Step 7330/20005 | Loss: 2.5152 | LR: 3.58e-04 | 2764.9ms/step | 8.7 samples/s
|
| 872 |
+
Step 7340/20005 | Loss: 2.5122 | LR: 3.57e-04 | 2762.1ms/step | 8.7 samples/s
|
| 873 |
+
Step 7350/20005 | Loss: 2.5692 | LR: 3.57e-04 | 2763.6ms/step | 8.7 samples/s
|
| 874 |
+
Step 7360/20005 | Loss: 2.4857 | LR: 3.57e-04 | 2767.0ms/step | 8.7 samples/s
|
| 875 |
+
Step 7370/20005 | Loss: 2.5389 | LR: 3.56e-04 | 2765.9ms/step | 8.7 samples/s
|
| 876 |
+
Step 7380/20005 | Loss: 2.5983 | LR: 3.56e-04 | 2763.7ms/step | 8.7 samples/s
|
| 877 |
+
Step 7390/20005 | Loss: 2.5393 | LR: 3.55e-04 | 2761.2ms/step | 8.7 samples/s
|
| 878 |
+
Step 7400/20005 | Loss: 2.5656 | LR: 3.55e-04 | 2767.8ms/step | 8.7 samples/s
|
| 879 |
+
Step 7410/20005 | Loss: 2.6436 | LR: 3.55e-04 | 2764.6ms/step | 8.7 samples/s
|
| 880 |
+
Step 7420/20005 | Loss: 2.5985 | LR: 3.54e-04 | 2768.4ms/step | 8.7 samples/s
|
| 881 |
+
Step 7430/20005 | Loss: 2.5825 | LR: 3.54e-04 | 2768.4ms/step | 8.7 samples/s
|
| 882 |
+
Step 7440/20005 | Loss: 2.5487 | LR: 3.54e-04 | 2765.2ms/step | 8.7 samples/s
|
| 883 |
+
Step 7450/20005 | Loss: 2.5599 | LR: 3.53e-04 | 2763.1ms/step | 8.7 samples/s
|
| 884 |
+
Step 7460/20005 | Loss: 2.5808 | LR: 3.53e-04 | 2763.8ms/step | 8.7 samples/s
|
| 885 |
+
Step 7470/20005 | Loss: 2.5745 | LR: 3.53e-04 | 2765.7ms/step | 8.7 samples/s
|
| 886 |
+
Step 7480/20005 | Loss: 2.5338 | LR: 3.52e-04 | 2764.8ms/step | 8.7 samples/s
|
| 887 |
+
Step 7490/20005 | Loss: 2.6214 | LR: 3.52e-04 | 2764.3ms/step | 8.7 samples/s
|
| 888 |
+
Step 7500/20005 | Loss: 2.5342 | LR: 3.51e-04 | 2763.2ms/step | 8.7 samples/s
|
| 889 |
+
Validation at step 7500: Loss = 2.5745, Perplexity = 13.13
|
| 890 |
+
Step 7510/20005 | Loss: 2.5104 | LR: 3.51e-04 | 21971.2ms/step | 1.1 samples/s
|
| 891 |
+
Step 7520/20005 | Loss: 2.5854 | LR: 3.51e-04 | 2765.5ms/step | 8.7 samples/s
|
| 892 |
+
Step 7530/20005 | Loss: 2.5306 | LR: 3.50e-04 | 2766.9ms/step | 8.7 samples/s
|
| 893 |
+
Step 7540/20005 | Loss: 2.4923 | LR: 3.50e-04 | 2766.6ms/step | 8.7 samples/s
|
| 894 |
+
Step 7550/20005 | Loss: 2.7164 | LR: 3.50e-04 | 2765.3ms/step | 8.7 samples/s
|
| 895 |
+
Step 7560/20005 | Loss: 2.5250 | LR: 3.49e-04 | 2763.9ms/step | 8.7 samples/s
|
| 896 |
+
Step 7570/20005 | Loss: 2.5113 | LR: 3.49e-04 | 2760.6ms/step | 8.7 samples/s
|
| 897 |
+
Step 7580/20005 | Loss: 2.5848 | LR: 3.49e-04 | 2762.0ms/step | 8.7 samples/s
|
| 898 |
+
Step 7590/20005 | Loss: 2.5499 | LR: 3.48e-04 | 2766.9ms/step | 8.7 samples/s
|
| 899 |
+
Step 7600/20005 | Loss: 2.6436 | LR: 3.48e-04 | 2765.5ms/step | 8.7 samples/s
|
| 900 |
+
Step 7610/20005 | Loss: 2.5293 | LR: 3.47e-04 | 2764.3ms/step | 8.7 samples/s
|
| 901 |
+
Step 7620/20005 | Loss: 2.5941 | LR: 3.47e-04 | 2765.4ms/step | 8.7 samples/s
|
| 902 |
+
Step 7630/20005 | Loss: 2.4800 | LR: 3.47e-04 | 2767.3ms/step | 8.7 samples/s
|
| 903 |
+
Step 7640/20005 | Loss: 2.5380 | LR: 3.46e-04 | 2764.5ms/step | 8.7 samples/s
|
| 904 |
+
Step 7650/20005 | Loss: 2.5384 | LR: 3.46e-04 | 2766.9ms/step | 8.7 samples/s
|
| 905 |
+
Step 7660/20005 | Loss: 2.5130 | LR: 3.46e-04 | 2761.8ms/step | 8.7 samples/s
|
| 906 |
+
Step 7670/20005 | Loss: 2.6861 | LR: 3.45e-04 | 2765.1ms/step | 8.7 samples/s
|
| 907 |
+
Step 7680/20005 | Loss: 2.5725 | LR: 3.45e-04 | 2765.1ms/step | 8.7 samples/s
|
| 908 |
+
Step 7690/20005 | Loss: 2.5032 | LR: 3.44e-04 | 2868.8ms/step | 8.4 samples/s
|
| 909 |
+
Step 7700/20005 | Loss: 2.5844 | LR: 3.44e-04 | 2761.6ms/step | 8.7 samples/s
|
| 910 |
+
Step 7710/20005 | Loss: 2.5812 | LR: 3.44e-04 | 2761.3ms/step | 8.7 samples/s
|
| 911 |
+
Step 7720/20005 | Loss: 2.4975 | LR: 3.43e-04 | 2761.2ms/step | 8.7 samples/s
|
| 912 |
+
Step 7730/20005 | Loss: 2.5790 | LR: 3.43e-04 | 2760.8ms/step | 8.7 samples/s
|
| 913 |
+
Step 7740/20005 | Loss: 2.6448 | LR: 3.43e-04 | 2765.0ms/step | 8.7 samples/s
|
| 914 |
+
Step 7750/20005 | Loss: 2.5725 | LR: 3.42e-04 | 2765.1ms/step | 8.7 samples/s
|
| 915 |
+
Validation at step 7750: Loss = 2.5633, Perplexity = 12.98
|
| 916 |
+
Step 7760/20005 | Loss: 2.5109 | LR: 3.42e-04 | 21968.2ms/step | 1.1 samples/s
|
| 917 |
+
Step 7770/20005 | Loss: 2.5681 | LR: 3.42e-04 | 2765.4ms/step | 8.7 samples/s
|
| 918 |
+
Step 7780/20005 | Loss: 2.5744 | LR: 3.41e-04 | 2764.0ms/step | 8.7 samples/s
|
| 919 |
+
Step 7790/20005 | Loss: 2.6003 | LR: 3.41e-04 | 2760.3ms/step | 8.7 samples/s
|
| 920 |
+
Step 7800/20005 | Loss: 2.5634 | LR: 3.40e-04 | 2762.6ms/step | 8.7 samples/s
|
| 921 |
+
Step 7810/20005 | Loss: 2.5360 | LR: 3.40e-04 | 2765.8ms/step | 8.7 samples/s
|
| 922 |
+
Step 7820/20005 | Loss: 2.6090 | LR: 3.40e-04 | 2765.4ms/step | 8.7 samples/s
|
| 923 |
+
Step 7830/20005 | Loss: 2.5129 | LR: 3.39e-04 | 2765.6ms/step | 8.7 samples/s
|
| 924 |
+
Step 7840/20005 | Loss: 2.4836 | LR: 3.39e-04 | 2762.1ms/step | 8.7 samples/s
|
| 925 |
+
Step 7850/20005 | Loss: 2.5231 | LR: 3.39e-04 | 2762.1ms/step | 8.7 samples/s
|
| 926 |
+
Step 7860/20005 | Loss: 2.5570 | LR: 3.38e-04 | 2762.4ms/step | 8.7 samples/s
|
| 927 |
+
Step 7870/20005 | Loss: 2.6068 | LR: 3.38e-04 | 2767.8ms/step | 8.7 samples/s
|
| 928 |
+
Step 7880/20005 | Loss: 2.5498 | LR: 3.37e-04 | 2763.0ms/step | 8.7 samples/s
|
| 929 |
+
Step 7890/20005 | Loss: 2.5351 | LR: 3.37e-04 | 2767.1ms/step | 8.7 samples/s
|
| 930 |
+
Step 7900/20005 | Loss: 2.5360 | LR: 3.37e-04 | 2765.6ms/step | 8.7 samples/s
|
| 931 |
+
Step 7910/20005 | Loss: 2.5372 | LR: 3.36e-04 | 2768.5ms/step | 8.7 samples/s
|
| 932 |
+
Step 7920/20005 | Loss: 2.5566 | LR: 3.36e-04 | 2765.1ms/step | 8.7 samples/s
|
| 933 |
+
Step 7930/20005 | Loss: 2.5967 | LR: 3.36e-04 | 2764.3ms/step | 8.7 samples/s
|
| 934 |
+
Step 7940/20005 | Loss: 2.5661 | LR: 3.35e-04 | 2764.1ms/step | 8.7 samples/s
|
| 935 |
+
Step 7950/20005 | Loss: 2.5648 | LR: 3.35e-04 | 2767.3ms/step | 8.7 samples/s
|
| 936 |
+
Step 7960/20005 | Loss: 2.5839 | LR: 3.34e-04 | 2766.2ms/step | 8.7 samples/s
|
| 937 |
+
Step 7970/20005 | Loss: 2.5916 | LR: 3.34e-04 | 2769.2ms/step | 8.7 samples/s
|
| 938 |
+
Step 7980/20005 | Loss: 2.5633 | LR: 3.34e-04 | 2765.5ms/step | 8.7 samples/s
|
| 939 |
+
Step 7990/20005 | Loss: 2.5521 | LR: 3.33e-04 | 2761.0ms/step | 8.7 samples/s
|
| 940 |
+
Step 8000/20005 | Loss: 2.5344 | LR: 3.33e-04 | 2765.2ms/step | 8.7 samples/s
|
| 941 |
+
Validation at step 8000: Loss = 2.5529, Perplexity = 12.84
|
| 942 |
+
Saved checkpoint to checkpoints/run_20260506_193527/checkpoint-8000
|
| 943 |
+
Step 8010/20005 | Loss: 2.5071 | LR: 3.33e-04 | 22557.6ms/step | 1.1 samples/s
|
| 944 |
+
Step 8020/20005 | Loss: 2.5569 | LR: 3.32e-04 | 2764.1ms/step | 8.7 samples/s
|
| 945 |
+
Step 8030/20005 | Loss: 2.5553 | LR: 3.32e-04 | 2764.8ms/step | 8.7 samples/s
|
| 946 |
+
Step 8040/20005 | Loss: 2.4974 | LR: 3.31e-04 | 2763.9ms/step | 8.7 samples/s
|
| 947 |
+
Step 8050/20005 | Loss: 2.5565 | LR: 3.31e-04 | 2762.6ms/step | 8.7 samples/s
|
| 948 |
+
Step 8060/20005 | Loss: 2.5757 | LR: 3.31e-04 | 2762.4ms/step | 8.7 samples/s
|
| 949 |
+
Step 8070/20005 | Loss: 2.5794 | LR: 3.30e-04 | 2761.1ms/step | 8.7 samples/s
|
| 950 |
+
Step 8080/20005 | Loss: 2.5224 | LR: 3.30e-04 | 2768.8ms/step | 8.7 samples/s
|
| 951 |
+
Step 8090/20005 | Loss: 2.4766 | LR: 3.30e-04 | 2766.2ms/step | 8.7 samples/s
|
| 952 |
+
Step 8100/20005 | Loss: 2.5621 | LR: 3.29e-04 | 2766.8ms/step | 8.7 samples/s
|
| 953 |
+
Step 8110/20005 | Loss: 2.4788 | LR: 3.29e-04 | 2766.2ms/step | 8.7 samples/s
|
| 954 |
+
Step 8120/20005 | Loss: 2.5851 | LR: 3.28e-04 | 2765.6ms/step | 8.7 samples/s
|
| 955 |
+
Step 8130/20005 | Loss: 2.5143 | LR: 3.28e-04 | 2765.7ms/step | 8.7 samples/s
|
| 956 |
+
Step 8140/20005 | Loss: 2.5161 | LR: 3.28e-04 | 2764.9ms/step | 8.7 samples/s
|
| 957 |
+
Step 8150/20005 | Loss: 2.5738 | LR: 3.27e-04 | 2765.7ms/step | 8.7 samples/s
|
| 958 |
+
Step 8160/20005 | Loss: 2.4888 | LR: 3.27e-04 | 2766.0ms/step | 8.7 samples/s
|
| 959 |
+
Step 8170/20005 | Loss: 2.4771 | LR: 3.27e-04 | 2767.4ms/step | 8.7 samples/s
|
| 960 |
+
Step 8180/20005 | Loss: 2.4856 | LR: 3.26e-04 | 2765.7ms/step | 8.7 samples/s
|
| 961 |
+
Step 8190/20005 | Loss: 2.5484 | LR: 3.26e-04 | 2766.8ms/step | 8.7 samples/s
|
| 962 |
+
Step 8200/20005 | Loss: 2.4483 | LR: 3.25e-04 | 2767.8ms/step | 8.7 samples/s
|
| 963 |
+
Step 8210/20005 | Loss: 2.5400 | LR: 3.25e-04 | 2764.7ms/step | 8.7 samples/s
|
| 964 |
+
Step 8220/20005 | Loss: 2.5507 | LR: 3.25e-04 | 2763.1ms/step | 8.7 samples/s
|
| 965 |
+
Step 8230/20005 | Loss: 2.5590 | LR: 3.24e-04 | 2761.4ms/step | 8.7 samples/s
|
| 966 |
+
Step 8240/20005 | Loss: 2.5536 | LR: 3.24e-04 | 2762.1ms/step | 8.7 samples/s
|
| 967 |
+
Step 8250/20005 | Loss: 2.3988 | LR: 3.24e-04 | 2762.3ms/step | 8.7 samples/s
|
| 968 |
+
Validation at step 8250: Loss = 2.5439, Perplexity = 12.73
|
| 969 |
+
Step 8260/20005 | Loss: 2.5339 | LR: 3.23e-04 | 21969.2ms/step | 1.1 samples/s
|
| 970 |
+
Step 8270/20005 | Loss: 2.4961 | LR: 3.23e-04 | 2762.4ms/step | 8.7 samples/s
|
| 971 |
+
Step 8280/20005 | Loss: 2.5935 | LR: 3.22e-04 | 2768.7ms/step | 8.7 samples/s
|
| 972 |
+
Step 8290/20005 | Loss: 2.5530 | LR: 3.22e-04 | 2762.9ms/step | 8.7 samples/s
|
| 973 |
+
Step 8300/20005 | Loss: 2.5359 | LR: 3.22e-04 | 2762.4ms/step | 8.7 samples/s
|
| 974 |
+
Step 8310/20005 | Loss: 2.5662 | LR: 3.21e-04 | 2765.2ms/step | 8.7 samples/s
|
| 975 |
+
Step 8320/20005 | Loss: 2.4643 | LR: 3.21e-04 | 2764.2ms/step | 8.7 samples/s
|
| 976 |
+
Step 8330/20005 | Loss: 2.6074 | LR: 3.20e-04 | 2763.2ms/step | 8.7 samples/s
|
| 977 |
+
Step 8340/20005 | Loss: 2.5487 | LR: 3.20e-04 | 2759.7ms/step | 8.7 samples/s
|
| 978 |
+
Step 8350/20005 | Loss: 2.5065 | LR: 3.20e-04 | 2762.6ms/step | 8.7 samples/s
|
| 979 |
+
Step 8360/20005 | Loss: 2.4909 | LR: 3.19e-04 | 2767.0ms/step | 8.7 samples/s
|
| 980 |
+
Step 8370/20005 | Loss: 2.4509 | LR: 3.19e-04 | 2766.6ms/step | 8.7 samples/s
|
| 981 |
+
Step 8380/20005 | Loss: 2.4697 | LR: 3.19e-04 | 2764.8ms/step | 8.7 samples/s
|
| 982 |
+
Step 8390/20005 | Loss: 2.5543 | LR: 3.18e-04 | 2766.0ms/step | 8.7 samples/s
|
| 983 |
+
Step 8400/20005 | Loss: 2.4903 | LR: 3.18e-04 | 2764.4ms/step | 8.7 samples/s
|
| 984 |
+
Step 8410/20005 | Loss: 2.5760 | LR: 3.17e-04 | 2762.6ms/step | 8.7 samples/s
|
| 985 |
+
Step 8420/20005 | Loss: 2.5203 | LR: 3.17e-04 | 2760.1ms/step | 8.7 samples/s
|
| 986 |
+
Step 8430/20005 | Loss: 2.5340 | LR: 3.17e-04 | 2767.4ms/step | 8.7 samples/s
|
| 987 |
+
Step 8440/20005 | Loss: 2.5623 | LR: 3.16e-04 | 2766.2ms/step | 8.7 samples/s
|
| 988 |
+
Step 8450/20005 | Loss: 2.4311 | LR: 3.16e-04 | 2766.9ms/step | 8.7 samples/s
|
| 989 |
+
Step 8460/20005 | Loss: 2.5816 | LR: 3.16e-04 | 2764.0ms/step | 8.7 samples/s
|
| 990 |
+
Step 8470/20005 | Loss: 2.5604 | LR: 3.15e-04 | 2760.9ms/step | 8.7 samples/s
|
| 991 |
+
Step 8480/20005 | Loss: 2.5650 | LR: 3.15e-04 | 2763.4ms/step | 8.7 samples/s
|
| 992 |
+
Step 8490/20005 | Loss: 2.5883 | LR: 3.14e-04 | 2761.9ms/step | 8.7 samples/s
|
| 993 |
+
Step 8500/20005 | Loss: 2.5375 | LR: 3.14e-04 | 2765.8ms/step | 8.7 samples/s
|
| 994 |
+
Validation at step 8500: Loss = 2.5358, Perplexity = 12.63
|
| 995 |
+
Step 8510/20005 | Loss: 2.5626 | LR: 3.14e-04 | 21966.2ms/step | 1.1 samples/s
|
| 996 |
+
Step 8520/20005 | Loss: 2.5167 | LR: 3.13e-04 | 2767.4ms/step | 8.7 samples/s
|
| 997 |
+
Step 8530/20005 | Loss: 2.5765 | LR: 3.13e-04 | 2763.4ms/step | 8.7 samples/s
|
| 998 |
+
Step 8540/20005 | Loss: 2.5451 | LR: 3.12e-04 | 2866.3ms/step | 8.4 samples/s
|
| 999 |
+
Step 8550/20005 | Loss: 2.4950 | LR: 3.12e-04 | 2763.6ms/step | 8.7 samples/s
|
| 1000 |
+
Step 8560/20005 | Loss: 2.5220 | LR: 3.12e-04 | 2763.5ms/step | 8.7 samples/s
|
| 1001 |
+
Step 8570/20005 | Loss: 2.4943 | LR: 3.11e-04 | 2763.1ms/step | 8.7 samples/s
|
| 1002 |
+
Step 8580/20005 | Loss: 2.4577 | LR: 3.11e-04 | 2766.7ms/step | 8.7 samples/s
|
| 1003 |
+
Step 8590/20005 | Loss: 2.4540 | LR: 3.11e-04 | 2764.1ms/step | 8.7 samples/s
|
| 1004 |
+
Step 8600/20005 | Loss: 2.5349 | LR: 3.10e-04 | 2762.6ms/step | 8.7 samples/s
|
| 1005 |
+
Step 8610/20005 | Loss: 2.5736 | LR: 3.10e-04 | 2763.2ms/step | 8.7 samples/s
|
| 1006 |
+
Step 8620/20005 | Loss: 2.5554 | LR: 3.09e-04 | 2761.8ms/step | 8.7 samples/s
|
| 1007 |
+
Step 8630/20005 | Loss: 2.5669 | LR: 3.09e-04 | 2761.7ms/step | 8.7 samples/s
|
| 1008 |
+
Step 8640/20005 | Loss: 2.5234 | LR: 3.09e-04 | 2767.4ms/step | 8.7 samples/s
|
| 1009 |
+
Step 8650/20005 | Loss: 2.5592 | LR: 3.08e-04 | 2762.8ms/step | 8.7 samples/s
|
| 1010 |
+
Step 8660/20005 | Loss: 2.5205 | LR: 3.08e-04 | 2766.8ms/step | 8.7 samples/s
|
| 1011 |
+
Step 8670/20005 | Loss: 2.5035 | LR: 3.07e-04 | 2766.7ms/step | 8.7 samples/s
|
| 1012 |
+
Step 8680/20005 | Loss: 2.6558 | LR: 3.07e-04 | 2764.9ms/step | 8.7 samples/s
|
| 1013 |
+
Step 8690/20005 | Loss: 2.5407 | LR: 3.07e-04 | 2762.0ms/step | 8.7 samples/s
|
| 1014 |
+
Step 8700/20005 | Loss: 2.5301 | LR: 3.06e-04 | 2763.5ms/step | 8.7 samples/s
|
| 1015 |
+
Step 8710/20005 | Loss: 2.5130 | LR: 3.06e-04 | 2766.3ms/step | 8.7 samples/s
|
| 1016 |
+
Step 8720/20005 | Loss: 2.5250 | LR: 3.05e-04 | 2762.0ms/step | 8.7 samples/s
|
| 1017 |
+
Step 8730/20005 | Loss: 2.5493 | LR: 3.05e-04 | 2761.6ms/step | 8.7 samples/s
|
| 1018 |
+
Step 8740/20005 | Loss: 2.5031 | LR: 3.05e-04 | 2761.1ms/step | 8.7 samples/s
|
| 1019 |
+
Step 8750/20005 | Loss: 2.4913 | LR: 3.04e-04 | 2768.9ms/step | 8.7 samples/s
|
| 1020 |
+
Validation at step 8750: Loss = 2.5291, Perplexity = 12.54
|
| 1021 |
+
Step 8760/20005 | Loss: 2.5922 | LR: 3.04e-04 | 21969.1ms/step | 1.1 samples/s
|
| 1022 |
+
Step 8770/20005 | Loss: 2.4729 | LR: 3.04e-04 | 2761.4ms/step | 8.7 samples/s
|
| 1023 |
+
Step 8780/20005 | Loss: 2.4610 | LR: 3.03e-04 | 2762.9ms/step | 8.7 samples/s
|
| 1024 |
+
Step 8790/20005 | Loss: 2.4924 | LR: 3.03e-04 | 2766.0ms/step | 8.7 samples/s
|
| 1025 |
+
Step 8800/20005 | Loss: 2.3887 | LR: 3.02e-04 | 2766.5ms/step | 8.7 samples/s
|
| 1026 |
+
Step 8810/20005 | Loss: 2.5757 | LR: 3.02e-04 | 2765.7ms/step | 8.7 samples/s
|
| 1027 |
+
Step 8820/20005 | Loss: 2.5087 | LR: 3.02e-04 | 2763.7ms/step | 8.7 samples/s
|
| 1028 |
+
Step 8830/20005 | Loss: 2.6246 | LR: 3.01e-04 | 2766.0ms/step | 8.7 samples/s
|
| 1029 |
+
Step 8840/20005 | Loss: 2.5038 | LR: 3.01e-04 | 2768.1ms/step | 8.7 samples/s
|
| 1030 |
+
Step 8850/20005 | Loss: 2.5476 | LR: 3.00e-04 | 2769.1ms/step | 8.7 samples/s
|
| 1031 |
+
Step 8860/20005 | Loss: 2.4972 | LR: 3.00e-04 | 2766.7ms/step | 8.7 samples/s
|
| 1032 |
+
Step 8870/20005 | Loss: 2.6018 | LR: 3.00e-04 | 2769.6ms/step | 8.7 samples/s
|
| 1033 |
+
Step 8880/20005 | Loss: 2.5409 | LR: 2.99e-04 | 2767.6ms/step | 8.7 samples/s
|
| 1034 |
+
Step 8890/20005 | Loss: 2.5726 | LR: 2.99e-04 | 2766.4ms/step | 8.7 samples/s
|
| 1035 |
+
Step 8900/20005 | Loss: 2.5135 | LR: 2.98e-04 | 2765.6ms/step | 8.7 samples/s
|
| 1036 |
+
Step 8910/20005 | Loss: 2.5114 | LR: 2.98e-04 | 2769.1ms/step | 8.7 samples/s
|
| 1037 |
+
Step 8920/20005 | Loss: 2.3795 | LR: 2.98e-04 | 2762.6ms/step | 8.7 samples/s
|
| 1038 |
+
Step 8930/20005 | Loss: 2.4371 | LR: 2.97e-04 | 2760.7ms/step | 8.7 samples/s
|
| 1039 |
+
Step 8940/20005 | Loss: 2.5544 | LR: 2.97e-04 | 2764.2ms/step | 8.7 samples/s
|
| 1040 |
+
Step 8950/20005 | Loss: 2.6087 | LR: 2.97e-04 | 2766.2ms/step | 8.7 samples/s
|
| 1041 |
+
Step 8960/20005 | Loss: 2.5412 | LR: 2.96e-04 | 2762.2ms/step | 8.7 samples/s
|
| 1042 |
+
Step 8970/20005 | Loss: 2.4893 | LR: 2.96e-04 | 2763.1ms/step | 8.7 samples/s
|
| 1043 |
+
Step 8980/20005 | Loss: 2.3852 | LR: 2.95e-04 | 2762.0ms/step | 8.7 samples/s
|
| 1044 |
+
Step 8990/20005 | Loss: 2.5673 | LR: 2.95e-04 | 2763.2ms/step | 8.7 samples/s
|
| 1045 |
+
Step 9000/20005 | Loss: 2.5075 | LR: 2.95e-04 | 2761.5ms/step | 8.7 samples/s
|
epfl_final/wandb/run-20260506_200450-z06f2580/files/requirements.txt
ADDED
|
@@ -0,0 +1,97 @@
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|
| 1 |
+
pytz==2026.2
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.6.3
|
| 8 |
+
tzdata==2026.2
|
| 9 |
+
typing_extensions==4.15.0
|
| 10 |
+
triton==3.6.0
|
| 11 |
+
tqdm==4.67.3
|
| 12 |
+
torchinfo==1.8.0
|
| 13 |
+
sympy==1.14.0
|
| 14 |
+
smmap==5.0.3
|
| 15 |
+
six==1.17.0
|
| 16 |
+
shellingham==1.5.4
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.4.4
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.4.1
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.2.6
|
| 38 |
+
networkx==3.4.2
|
| 39 |
+
mdurl==0.1.2
|
| 40 |
+
MarkupSafe==3.0.3
|
| 41 |
+
idna==3.13
|
| 42 |
+
hf-xet==1.5.0
|
| 43 |
+
h11==0.16.0
|
| 44 |
+
fsspec==2026.2.0
|
| 45 |
+
frozenlist==1.8.0
|
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filelock==3.29.0
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dill==0.4.1
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cuda-pathfinder==1.5.4
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| 49 |
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click==8.3.3
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charset-normalizer==3.4.7
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certifi==2026.4.22
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requests==2.33.1
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|
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|
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nvidia-cudnn-cu13==9.19.0.56
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|
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torch==2.11.0
|
| 86 |
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huggingface_hub==1.14.0
|
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tokenizers==0.22.2
|
| 88 |
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datasets==4.8.5
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pip==22.0.2
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epfl_final/wandb/run-20260506_200450-z06f2580/files/wandb-metadata.json
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
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|
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epfl_final/wandb/run-20260506_200450-z06f2580/logs/debug-internal.log
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epfl_final/wandb/run-20260506_200450-z06f2580/logs/debug.log
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2026-05-06 20:04:50,687 INFO MainThread:18682 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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2026-05-06 20:04:50,687 INFO MainThread:18682 [wandb_setup.py:_flush():81] Loading settings from environment variables
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2026-05-06 20:04:50,687 INFO MainThread:18682 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/wandb/run-20260506_200450-z06f2580/logs/debug.log
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2026-05-06 20:04:50,687 INFO MainThread:18682 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/wandb/run-20260506_200450-z06f2580/logs/debug-internal.log
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2026-05-06 20:04:50,687 INFO MainThread:18682 [wandb_init.py:init():850] calling init triggers
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2026-05-06 20:04:50,687 INFO MainThread:18682 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
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| 8 |
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config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/the_pile_train/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': './checkpoints/run_20260506_193527', 'resume_from_checkpoint': None, 'num_epochs': 1, 'max_steps': 20005, 'per_device_batch_size': 3, 'gradient_accumulation_steps': 8, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 250, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 2000, 'eval_steps': 250, 'eval_batches': 200, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': None, 'wandb_tags': ['qwen3', '0.6b'], 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 1000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, '_wandb': {}}
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epfl_final/wandb/run-20260506_200450-z06f2580/run-z06f2580.wandb
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cudaVersion: "13.0"
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executable: /usr/bin/python3
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gpu: NVIDIA H100 80GB HBM3
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gpu_count: 1
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gpu_nvidia:
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cudaCores: 16896
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memoryTotal: "85520809984"
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uuid: GPU-8b16a485-aa97-1545-8625-887d6079c32c
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host: h100-train-13-0-4
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total: "1623005847552"
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program: /mloscratch/homes/navasard/sparse/SparseAtt/train.py
|
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python: CPython 3.10.12
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root: /mloscratch/homes/navasard/sparse
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value: 250
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gradient_accumulation_steps:
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value: 8
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value: true
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learning_rate:
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value: 0.0005
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logging_steps:
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lr_scheduler:
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max_grad_norm:
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max_seq_length:
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value: 8192
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max_steps:
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| 133 |
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weight_decay:
|
| 134 |
+
value: 0.01
|
epfl_final/wandb/run-20260509_201725-v6634orv/files/output.log
ADDED
|
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|
|
|
epfl_final/wandb/run-20260509_201725-v6634orv/files/requirements.txt
ADDED
|
@@ -0,0 +1,97 @@
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pytz==2026.2
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.7.0
|
| 8 |
+
tzdata==2026.2
|
| 9 |
+
typing_extensions==4.15.0
|
| 10 |
+
triton==3.6.0
|
| 11 |
+
tqdm==4.67.3
|
| 12 |
+
torchinfo==1.8.0
|
| 13 |
+
sympy==1.14.0
|
| 14 |
+
smmap==5.0.3
|
| 15 |
+
six==1.17.0
|
| 16 |
+
shellingham==1.5.4
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.4.4
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.5.2
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.2.6
|
| 38 |
+
networkx==3.4.2
|
| 39 |
+
mdurl==0.1.2
|
| 40 |
+
MarkupSafe==3.0.3
|
| 41 |
+
idna==3.13
|
| 42 |
+
hf-xet==1.5.0
|
| 43 |
+
h11==0.16.0
|
| 44 |
+
fsspec==2026.2.0
|
| 45 |
+
frozenlist==1.8.0
|
| 46 |
+
filelock==3.29.0
|
| 47 |
+
dill==0.4.1
|
| 48 |
+
cuda-pathfinder==1.5.4
|
| 49 |
+
click==8.3.3
|
| 50 |
+
charset-normalizer==3.4.7
|
| 51 |
+
certifi==2026.4.22
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
async-timeout==5.0.1
|
| 54 |
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annotated-types==0.7.0
|
| 55 |
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annotated-doc==0.0.4
|
| 56 |
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aiohappyeyeballs==2.6.1
|
| 57 |
+
typing-inspection==0.4.2
|
| 58 |
+
sentry-sdk==2.59.0
|
| 59 |
+
requests==2.33.1
|
| 60 |
+
python-dateutil==2.9.0.post0
|
| 61 |
+
pydantic_core==2.46.4
|
| 62 |
+
nvidia-cusparse==12.6.3.3
|
| 63 |
+
nvidia-cufft==12.0.0.61
|
| 64 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 65 |
+
multiprocess==0.70.19
|
| 66 |
+
multidict==6.7.1
|
| 67 |
+
markdown-it-py==4.2.0
|
| 68 |
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Jinja2==3.1.6
|
| 69 |
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httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
exceptiongroup==1.3.1
|
| 72 |
+
cuda-bindings==13.2.0
|
| 73 |
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aiosignal==1.4.0
|
| 74 |
+
yarl==1.23.0
|
| 75 |
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rich==15.0.0
|
| 76 |
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pydantic==2.13.4
|
| 77 |
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pandas==2.3.3
|
| 78 |
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nvidia-cusolver==12.0.4.66
|
| 79 |
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GitPython==3.1.50
|
| 80 |
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anyio==4.13.0
|
| 81 |
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wandb==0.26.1
|
| 82 |
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typer==0.25.1
|
| 83 |
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httpx==0.28.1
|
| 84 |
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aiohttp==3.13.5
|
| 85 |
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torch==2.11.0
|
| 86 |
+
huggingface_hub==1.14.0
|
| 87 |
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tokenizers==0.22.2
|
| 88 |
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datasets==4.8.5
|
| 89 |
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accelerate==1.13.0
|
| 90 |
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transformers==5.8.0
|
| 91 |
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PyGObject==3.42.1
|
| 92 |
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dbus-python==1.2.18
|
| 93 |
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distro==1.7.0
|
| 94 |
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pip==22.0.2
|
| 95 |
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setuptools==59.6.0
|
| 96 |
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ssh-import-id==5.11
|
| 97 |
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wheel==0.37.1
|
epfl_final/wandb/run-20260509_201725-v6634orv/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,36 @@
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-59-generic-x86_64-with-glibc2.35",
|
| 3 |
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"python": "CPython 3.10.12",
|
| 4 |
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"startedAt": "2026-05-09T20:17:25.091183Z",
|
| 5 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 6 |
+
"codePath": "SparseAtt/train.py",
|
| 7 |
+
"codePathLocal": "SparseAtt/train.py",
|
| 8 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 9 |
+
"root": "/mloscratch/homes/navasard/sparse",
|
| 10 |
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"host": "h100-train-13-0-4",
|
| 11 |
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"executable": "/usr/bin/python3",
|
| 12 |
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"cpu_count": 96,
|
| 13 |
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|
| 14 |
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"gpu": "NVIDIA H100 80GB HBM3",
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| 15 |
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"gpu_count": 1,
|
| 16 |
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"disk": {
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| 17 |
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"/": {
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| 18 |
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"total": "9374931091456",
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| 19 |
+
"used": "6967971639296"
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| 20 |
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}
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| 21 |
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},
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| 22 |
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"memory": {
|
| 23 |
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"total": "1623005847552"
|
| 24 |
+
},
|
| 25 |
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"gpu_nvidia": [
|
| 26 |
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{
|
| 27 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 28 |
+
"memoryTotal": "85520809984",
|
| 29 |
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"cudaCores": 16896,
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| 30 |
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"architecture": "Hopper",
|
| 31 |
+
"uuid": "GPU-8b16a485-aa97-1545-8625-887d6079c32c"
|
| 32 |
+
}
|
| 33 |
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],
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| 34 |
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"cudaVersion": "13.0",
|
| 35 |
+
"writerId": "kpm2cvfwleyy3zpfc2cgqadojh6mzk44"
|
| 36 |
+
}
|
epfl_final/wandb/run-20260509_201725-v6634orv/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
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|
| 1 |
+
{"_timestamp":1.7785015765837305e+09,"train/learning_rate":7.903067225645266e-11,"_step":20000,"train/epoch":0.4716981132075472,"_wandb":{"runtime":143769},"_runtime":143769.347118953,"eval/perplexity":18.142080070137933,"train/loss":2.883942210674286,"speed/ms_per_step":5779.727935791016,"speed/steps_per_sec":0.1730185245930853,"eval/loss":2.898234105706215,"speed/samples_per_sec":4.152444590234047,"train/global_step":20000}
|
epfl_final/wandb/run-20260509_201725-v6634orv/logs/debug-internal.log
ADDED
|
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|
|
epfl_final/wandb/run-20260509_201725-v6634orv/logs/debug.log
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
2026-05-09 20:17:25,114 INFO MainThread:4588 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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| 2 |
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2026-05-09 20:17:25,114 INFO MainThread:4588 [wandb_setup.py:_flush():81] Configure stats pid to 4588
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| 3 |
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2026-05-09 20:17:25,115 INFO MainThread:4588 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
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2026-05-09 20:17:25,116 INFO MainThread:4588 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/wandb/run-20260509_201725-v6634orv/logs/debug.log
|
| 5 |
+
2026-05-09 20:17:25,116 INFO MainThread:4588 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/wandb/run-20260509_201725-v6634orv/logs/debug-internal.log
|
| 6 |
+
2026-05-09 20:17:25,117 INFO MainThread:4588 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-05-09 20:17:25,118 INFO MainThread:4588 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': './checkpoints/run_20260509_201713', 'resume_from_checkpoint': None, 'num_epochs': 1, 'max_steps': 20005, 'per_device_batch_size': 3, 'gradient_accumulation_steps': 8, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 250, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 200, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': None, 'wandb_tags': ['qwen3', '0.6b'], 'attention_type': 'dense', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 1000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, '_wandb': {}}
|
| 9 |
+
2026-05-09 20:17:25,119 INFO MainThread:4588 [wandb_init.py:init():898] starting backend
|
| 10 |
+
2026-05-09 20:17:25,337 INFO MainThread:4588 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
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2026-05-09 20:17:25,701 INFO MainThread:4588 [wandb_init.py:init():918] backend started and connected
|
| 12 |
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2026-05-09 20:17:25,707 INFO MainThread:4588 [wandb_init.py:init():988] updated telemetry
|
| 13 |
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2026-05-09 20:17:25,709 INFO MainThread:4588 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
+
2026-05-09 20:17:26,143 INFO MainThread:4588 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
+
2026-05-09 20:17:26,229 INFO MainThread:4588 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
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2026-05-09 20:17:26,229 INFO MainThread:4588 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
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2026-05-09 20:17:26,229 INFO MainThread:4588 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
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2026-05-09 20:17:26,236 INFO MainThread:4588 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
+
2026-05-09 20:17:26,257 INFO MainThread:4588 [wandb_init.py:init():1094] run started, returning control to user process
|
| 20 |
+
2026-05-11 12:13:35,489 INFO MainThread:4588 [wandb_run.py:_finish():2321] finishing run ruben-navasardyan4869-epfl/stochastic_sparsity/v6634orv
|
| 21 |
+
2026-05-11 12:13:35,490 INFO MainThread:4588 [wandb_run.py:_atexit_cleanup():2520] got exitcode: 0
|
| 22 |
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2026-05-11 12:13:35,490 INFO MainThread:4588 [wandb_run.py:_restore():2502] restore
|
| 23 |
+
2026-05-11 12:13:35,491 INFO MainThread:4588 [wandb_run.py:_restore():2508] restore done
|
| 24 |
+
2026-05-11 12:13:38,690 INFO MainThread:4588 [wandb_run.py:_footer_sync_info():3889] logging synced files
|
epfl_final/wandb/run-20260509_201725-v6634orv/run-v6634orv.wandb
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:0901bb90244aaf89d7fe3cad7f35592863b8f90552a4b76f354eb2bd99705b38
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| 3 |
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size 21184041
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epfl_final/wandb/run-20260511_155411-fii64tue/files/config.yaml
ADDED
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@@ -0,0 +1,133 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.26.1
|
| 4 |
+
e:
|
| 5 |
+
51f4lp4opnmu0k00lxp85qgvwdbstbe2:
|
| 6 |
+
codePath: SparseAtt/train.py
|
| 7 |
+
codePathLocal: SparseAtt/train.py
|
| 8 |
+
cpu_count: 96
|
| 9 |
+
cpu_count_logical: 192
|
| 10 |
+
cudaVersion: "13.0"
|
| 11 |
+
disk:
|
| 12 |
+
/:
|
| 13 |
+
total: "9374931091456"
|
| 14 |
+
used: "7115316539392"
|
| 15 |
+
email: ruben.navasardyan@mail.utoronto.ca
|
| 16 |
+
executable: /usr/bin/python3
|
| 17 |
+
gpu: NVIDIA H100 80GB HBM3
|
| 18 |
+
gpu_count: 1
|
| 19 |
+
gpu_nvidia:
|
| 20 |
+
- architecture: Hopper
|
| 21 |
+
cudaCores: 16896
|
| 22 |
+
memoryTotal: "85520809984"
|
| 23 |
+
name: NVIDIA H100 80GB HBM3
|
| 24 |
+
uuid: GPU-b52a5d1a-9d9a-90fe-c3b3-708dcea4146f
|
| 25 |
+
host: h100-train-14-0-2
|
| 26 |
+
memory:
|
| 27 |
+
total: "1623005847552"
|
| 28 |
+
os: Linux-6.8.0-59-generic-x86_64-with-glibc2.35
|
| 29 |
+
program: /mloscratch/homes/navasard/sparse/SparseAtt/train.py
|
| 30 |
+
python: CPython 3.10.12
|
| 31 |
+
root: /mloscratch/homes/navasard/sparse
|
| 32 |
+
startedAt: "2026-05-11T15:54:11.043050Z"
|
| 33 |
+
writerId: 51f4lp4opnmu0k00lxp85qgvwdbstbe2
|
| 34 |
+
m: []
|
| 35 |
+
python_version: 3.10.12
|
| 36 |
+
t:
|
| 37 |
+
"1":
|
| 38 |
+
- 1
|
| 39 |
+
- 11
|
| 40 |
+
- 49
|
| 41 |
+
- 51
|
| 42 |
+
- 71
|
| 43 |
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"2":
|
| 44 |
+
- 1
|
| 45 |
+
- 11
|
| 46 |
+
- 49
|
| 47 |
+
- 51
|
| 48 |
+
- 71
|
| 49 |
+
"3":
|
| 50 |
+
- 15
|
| 51 |
+
- 16
|
| 52 |
+
- 61
|
| 53 |
+
"4": 3.10.12
|
| 54 |
+
"5": 0.26.1
|
| 55 |
+
"6": 5.8.0
|
| 56 |
+
"12": 0.26.1
|
| 57 |
+
"13": linux-x86_64
|
| 58 |
+
attention_type:
|
| 59 |
+
value: sparse_stochastic
|
| 60 |
+
checkpoint_activations:
|
| 61 |
+
value: false
|
| 62 |
+
eval_batches:
|
| 63 |
+
value: 200
|
| 64 |
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eval_steps:
|
| 65 |
+
value: 250
|
| 66 |
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gradient_accumulation_steps:
|
| 67 |
+
value: 8
|
| 68 |
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init_from_scratch:
|
| 69 |
+
value: true
|
| 70 |
+
learning_rate:
|
| 71 |
+
value: 0.0005
|
| 72 |
+
logging_steps:
|
| 73 |
+
value: 10
|
| 74 |
+
lr_scheduler:
|
| 75 |
+
value: cosine
|
| 76 |
+
max_grad_norm:
|
| 77 |
+
value: 1
|
| 78 |
+
max_seq_length:
|
| 79 |
+
value: 8192
|
| 80 |
+
max_steps:
|
| 81 |
+
value: 20005
|
| 82 |
+
mixed_precision:
|
| 83 |
+
value: bf16
|
| 84 |
+
model_dtype:
|
| 85 |
+
value: bfloat16
|
| 86 |
+
model_path:
|
| 87 |
+
value: /mloscratch/homes/navasard/qwen3_06b_base
|
| 88 |
+
num_epochs:
|
| 89 |
+
value: 1
|
| 90 |
+
num_workers:
|
| 91 |
+
value: 8
|
| 92 |
+
output_dir:
|
| 93 |
+
value: ./checkpoints/run_20260511_144655
|
| 94 |
+
per_device_batch_size:
|
| 95 |
+
value: 3
|
| 96 |
+
resume_from_checkpoint:
|
| 97 |
+
value: null
|
| 98 |
+
save_steps:
|
| 99 |
+
value: 1000
|
| 100 |
+
seed:
|
| 101 |
+
value: 42
|
| 102 |
+
sparse_block_size:
|
| 103 |
+
value: 128
|
| 104 |
+
sparse_layer_indices:
|
| 105 |
+
value: null
|
| 106 |
+
sparse_mask_pool_size:
|
| 107 |
+
value: 2000
|
| 108 |
+
sparse_num_random_blocks:
|
| 109 |
+
value: 31
|
| 110 |
+
sparse_val_dense_compare:
|
| 111 |
+
value: false
|
| 112 |
+
strategy:
|
| 113 |
+
value: ddp
|
| 114 |
+
train_path:
|
| 115 |
+
value: /mloscratch/homes/navasard/data/fineweb/tokenized
|
| 116 |
+
val_path:
|
| 117 |
+
value: null
|
| 118 |
+
verbose:
|
| 119 |
+
value: true
|
| 120 |
+
wandb_enabled:
|
| 121 |
+
value: true
|
| 122 |
+
wandb_name:
|
| 123 |
+
value: null
|
| 124 |
+
wandb_project:
|
| 125 |
+
value: stochastic_sparsity
|
| 126 |
+
wandb_tags:
|
| 127 |
+
value:
|
| 128 |
+
- qwen3
|
| 129 |
+
- 0.6b
|
| 130 |
+
warmup_steps:
|
| 131 |
+
value: 250
|
| 132 |
+
weight_decay:
|
| 133 |
+
value: 0.01
|
epfl_final/wandb/run-20260511_155411-fii64tue/files/output.log
ADDED
|
@@ -0,0 +1,467 @@
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|
|
| 1 |
+
|
| 2 |
+
|
| 3 |
+
================================================================================
|
| 4 |
+
MODEL ARCHITECTURE
|
| 5 |
+
================================================================================
|
| 6 |
+
Model config:
|
| 7 |
+
vocab_size: 151936
|
| 8 |
+
hidden_size: 1024
|
| 9 |
+
num_hidden_layers: 28
|
| 10 |
+
num_attention_heads: 16
|
| 11 |
+
num_key_value_heads: 8
|
| 12 |
+
head_dim: 128
|
| 13 |
+
intermediate_size: 3072
|
| 14 |
+
max_position_embeddings: 32768
|
| 15 |
+
rope_theta: 1000000
|
| 16 |
+
attention_type: sparse_stochastic
|
| 17 |
+
sparse_block_size: 128
|
| 18 |
+
sparse_num_random_blocks: 31
|
| 19 |
+
sparse_mask_pool_size: 2000
|
| 20 |
+
sparse_max_seq_length: 8192
|
| 21 |
+
|
| 22 |
+
Parameter count:
|
| 23 |
+
Total parameters: 596,049,920
|
| 24 |
+
Trainable parameters: 596,049,920
|
| 25 |
+
Non-trainable parameters: 0
|
| 26 |
+
Model size (BF16): 1.19 GB
|
| 27 |
+
|
| 28 |
+
--------------------------------------------------------------------------------
|
| 29 |
+
LAYER-BY-LAYER SUMMARY
|
| 30 |
+
--------------------------------------------------------------------------------
|
| 31 |
+
/home/navasard/.local/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1704: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel.
|
| 32 |
+
|
| 33 |
+
SOLUTION: Use torch.compile(flex_attention)(...)
|
| 34 |
+
|
| 35 |
+
If you want to debug your score_mod/mask_mod, you can set:
|
| 36 |
+
torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True
|
| 37 |
+
|
| 38 |
+
This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results.
|
| 39 |
+
_warn_once(
|
| 40 |
+
================================================================================================================================================================
|
| 41 |
+
Layer (type:depth-idx) Input Shape Output Shape Param # Trainable
|
| 42 |
+
================================================================================================================================================================
|
| 43 |
+
Qwen3ForCausalLM [3, 8192] -- -- True
|
| 44 |
+
├─Qwen3Model: 1-1 -- [3, 8192, 1024] -- True
|
| 45 |
+
│ └─Embedding: 2-1 [3, 8192] [3, 8192, 1024] 155,582,464 True
|
| 46 |
+
│ └─ModuleList: 2-2 -- -- -- True
|
| 47 |
+
│ │ └─Qwen3DecoderLayer: 3-1 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 48 |
+
│ │ └─Qwen3DecoderLayer: 3-2 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 49 |
+
│ │ └─Qwen3DecoderLayer: 3-3 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 50 |
+
│ │ └─Qwen3DecoderLayer: 3-4 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 51 |
+
│ │ └─Qwen3DecoderLayer: 3-5 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 52 |
+
│ │ └─Qwen3DecoderLayer: 3-6 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 53 |
+
│ │ └─Qwen3DecoderLayer: 3-7 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 54 |
+
│ │ └─Qwen3DecoderLayer: 3-8 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 55 |
+
│ │ └─Qwen3DecoderLayer: 3-9 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 56 |
+
│ │ └─Qwen3DecoderLayer: 3-10 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 57 |
+
│ │ └─Qwen3DecoderLayer: 3-11 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 58 |
+
│ │ └─Qwen3DecoderLayer: 3-12 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 59 |
+
│ │ └─Qwen3DecoderLayer: 3-13 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 60 |
+
│ │ └─Qwen3DecoderLayer: 3-14 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 61 |
+
│ │ └─Qwen3DecoderLayer: 3-15 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 62 |
+
│ │ └─Qwen3DecoderLayer: 3-16 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 63 |
+
│ │ └─Qwen3DecoderLayer: 3-17 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 64 |
+
│ │ └─Qwen3DecoderLayer: 3-18 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 65 |
+
│ │ └─Qwen3DecoderLayer: 3-19 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 66 |
+
│ │ └─Qwen3DecoderLayer: 3-20 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 67 |
+
│ │ └─Qwen3DecoderLayer: 3-21 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 68 |
+
│ │ └─Qwen3DecoderLayer: 3-22 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 69 |
+
│ │ └─Qwen3DecoderLayer: 3-23 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 70 |
+
│ │ └─Qwen3DecoderLayer: 3-24 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 71 |
+
│ │ └─Qwen3DecoderLayer: 3-25 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 72 |
+
│ │ └─Qwen3DecoderLayer: 3-26 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 73 |
+
│ │ └─Qwen3DecoderLayer: 3-27 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 74 |
+
│ │ └─Qwen3DecoderLayer: 3-28 [3, 8192, 1024] [3, 8192, 1024] 15,730,944 True
|
| 75 |
+
│ └─Qwen3RMSNorm: 2-3 [3, 8192, 1024] [3, 8192, 1024] 1,024 True
|
| 76 |
+
├─Linear: 1-2 [3, 8192, 1024] [3, 8192, 151936] 155,582,464 True
|
| 77 |
+
================================================================================================================================================================
|
| 78 |
+
Total params: 751,632,384
|
| 79 |
+
Trainable params: 751,632,384
|
| 80 |
+
Non-trainable params: 0
|
| 81 |
+
Total mult-adds (G): 2.25
|
| 82 |
+
================================================================================================================================================================
|
| 83 |
+
Input size (MB): 0.20
|
| 84 |
+
Forward/backward pass size (MB): 63052.97
|
| 85 |
+
Params size (MB): 1503.26
|
| 86 |
+
Estimated Total Size (MB): 64556.43
|
| 87 |
+
================================================================================================================================================================
|
| 88 |
+
================================================================================
|
| 89 |
+
|
| 90 |
+
Loading dataset from /mloscratch/homes/navasard/data/fineweb/tokenized...
|
| 91 |
+
Using pre-tokenized dataset (no runtime tokenization)
|
| 92 |
+
Loading pre-tokenized HF dataset from /mloscratch/homes/navasard/data/fineweb/tokenized...
|
| 93 |
+
Loaded 5088012 pre-tokenized examples (stored_len=2048, pack_factor=4, packed_examples=1272003)
|
| 94 |
+
Dataset split: 1017602 train, 254401 validation
|
| 95 |
+
Training examples (packed, train split): 1017602
|
| 96 |
+
Validation examples (packed, val split): 254401
|
| 97 |
+
Per-device batch size: 3
|
| 98 |
+
World size (GPUs): 1
|
| 99 |
+
Gradient accumulation steps: 8
|
| 100 |
+
Effective batch size (seqs/step): 24
|
| 101 |
+
Sequence length: 8192
|
| 102 |
+
Tokens per optimizer step: 196,608
|
| 103 |
+
Micro-batches per epoch (per rank): 339200
|
| 104 |
+
Optimizer steps per epoch: 42400
|
| 105 |
+
Total optimizer steps: 20005 (capped by max_steps; 0.47 epochs)
|
| 106 |
+
Starting training...
|
| 107 |
+
Step 10/20005 | Loss: 12.0527 | LR: 2.00e-05 | 10905.8ms/step | 2.2 samples/s
|
| 108 |
+
Step 20/20005 | Loss: 11.1434 | LR: 4.00e-05 | 2739.2ms/step | 8.8 samples/s
|
| 109 |
+
Step 30/20005 | Loss: 10.4121 | LR: 6.00e-05 | 2728.8ms/step | 8.8 samples/s
|
| 110 |
+
Step 40/20005 | Loss: 9.8615 | LR: 8.00e-05 | 2722.0ms/step | 8.8 samples/s
|
| 111 |
+
Step 50/20005 | Loss: 9.0205 | LR: 1.00e-04 | 2725.9ms/step | 8.8 samples/s
|
| 112 |
+
Step 60/20005 | Loss: 8.2371 | LR: 1.20e-04 | 2721.6ms/step | 8.8 samples/s
|
| 113 |
+
Step 70/20005 | Loss: 7.6584 | LR: 1.40e-04 | 2732.9ms/step | 8.8 samples/s
|
| 114 |
+
Step 80/20005 | Loss: 7.4224 | LR: 1.60e-04 | 2742.7ms/step | 8.8 samples/s
|
| 115 |
+
Step 90/20005 | Loss: 7.2768 | LR: 1.80e-04 | 2747.3ms/step | 8.7 samples/s
|
| 116 |
+
Step 100/20005 | Loss: 7.0964 | LR: 2.00e-04 | 2755.3ms/step | 8.7 samples/s
|
| 117 |
+
Step 110/20005 | Loss: 6.9559 | LR: 2.20e-04 | 2751.5ms/step | 8.7 samples/s
|
| 118 |
+
Step 120/20005 | Loss: 6.7968 | LR: 2.40e-04 | 2758.9ms/step | 8.7 samples/s
|
| 119 |
+
Step 130/20005 | Loss: 6.6881 | LR: 2.60e-04 | 2759.2ms/step | 8.7 samples/s
|
| 120 |
+
Step 140/20005 | Loss: 6.5831 | LR: 2.80e-04 | 2757.6ms/step | 8.7 samples/s
|
| 121 |
+
Step 150/20005 | Loss: 6.4733 | LR: 3.00e-04 | 2757.4ms/step | 8.7 samples/s
|
| 122 |
+
Step 160/20005 | Loss: 6.3844 | LR: 3.20e-04 | 2759.5ms/step | 8.7 samples/s
|
| 123 |
+
Step 170/20005 | Loss: 6.3235 | LR: 3.40e-04 | 2756.4ms/step | 8.7 samples/s
|
| 124 |
+
Step 180/20005 | Loss: 6.2608 | LR: 3.60e-04 | 2756.9ms/step | 8.7 samples/s
|
| 125 |
+
Step 190/20005 | Loss: 6.1785 | LR: 3.80e-04 | 2762.1ms/step | 8.7 samples/s
|
| 126 |
+
Step 200/20005 | Loss: 6.1074 | LR: 4.00e-04 | 2760.0ms/step | 8.7 samples/s
|
| 127 |
+
Step 210/20005 | Loss: 6.0442 | LR: 4.20e-04 | 2761.0ms/step | 8.7 samples/s
|
| 128 |
+
Step 220/20005 | Loss: 5.9745 | LR: 4.40e-04 | 2758.4ms/step | 8.7 samples/s
|
| 129 |
+
Step 230/20005 | Loss: 5.9506 | LR: 4.60e-04 | 2757.6ms/step | 8.7 samples/s
|
| 130 |
+
Step 240/20005 | Loss: 5.9295 | LR: 4.80e-04 | 2763.3ms/step | 8.7 samples/s
|
| 131 |
+
Step 250/20005 | Loss: 5.8254 | LR: 5.00e-04 | 2760.8ms/step | 8.7 samples/s
|
| 132 |
+
Validation at step 250: Loss = 5.8073, Perplexity = 332.71
|
| 133 |
+
Step 260/20005 | Loss: 5.7952 | LR: 5.00e-04 | 25512.3ms/step | 0.9 samples/s
|
| 134 |
+
Step 270/20005 | Loss: 5.7279 | LR: 5.00e-04 | 2765.3ms/step | 8.7 samples/s
|
| 135 |
+
Step 280/20005 | Loss: 5.6681 | LR: 5.00e-04 | 2765.7ms/step | 8.7 samples/s
|
| 136 |
+
Step 290/20005 | Loss: 5.6214 | LR: 5.00e-04 | 2764.0ms/step | 8.7 samples/s
|
| 137 |
+
Step 300/20005 | Loss: 5.5143 | LR: 5.00e-04 | 2765.5ms/step | 8.7 samples/s
|
| 138 |
+
Step 310/20005 | Loss: 5.4557 | LR: 5.00e-04 | 2763.2ms/step | 8.7 samples/s
|
| 139 |
+
Step 320/20005 | Loss: 5.4503 | LR: 5.00e-04 | 2765.1ms/step | 8.7 samples/s
|
| 140 |
+
Step 330/20005 | Loss: 5.4291 | LR: 5.00e-04 | 2763.8ms/step | 8.7 samples/s
|
| 141 |
+
Step 340/20005 | Loss: 5.3610 | LR: 5.00e-04 | 2767.0ms/step | 8.7 samples/s
|
| 142 |
+
Step 350/20005 | Loss: 5.3131 | LR: 5.00e-04 | 2766.3ms/step | 8.7 samples/s
|
| 143 |
+
Step 360/20005 | Loss: 5.2684 | LR: 5.00e-04 | 2765.7ms/step | 8.7 samples/s
|
| 144 |
+
Step 370/20005 | Loss: 5.2249 | LR: 5.00e-04 | 2767.9ms/step | 8.7 samples/s
|
| 145 |
+
Step 380/20005 | Loss: 5.1672 | LR: 5.00e-04 | 2764.6ms/step | 8.7 samples/s
|
| 146 |
+
Step 390/20005 | Loss: 5.1468 | LR: 5.00e-04 | 2761.4ms/step | 8.7 samples/s
|
| 147 |
+
Step 400/20005 | Loss: 5.1236 | LR: 5.00e-04 | 2762.6ms/step | 8.7 samples/s
|
| 148 |
+
Step 410/20005 | Loss: 5.0547 | LR: 5.00e-04 | 2762.8ms/step | 8.7 samples/s
|
| 149 |
+
Step 420/20005 | Loss: 5.0607 | LR: 5.00e-04 | 2761.6ms/step | 8.7 samples/s
|
| 150 |
+
Step 430/20005 | Loss: 5.0004 | LR: 5.00e-04 | 2763.4ms/step | 8.7 samples/s
|
| 151 |
+
Step 440/20005 | Loss: 4.9464 | LR: 5.00e-04 | 2761.8ms/step | 8.7 samples/s
|
| 152 |
+
Step 450/20005 | Loss: 4.9140 | LR: 5.00e-04 | 2760.4ms/step | 8.7 samples/s
|
| 153 |
+
Step 460/20005 | Loss: 4.9033 | LR: 5.00e-04 | 2762.0ms/step | 8.7 samples/s
|
| 154 |
+
Step 470/20005 | Loss: 4.8663 | LR: 5.00e-04 | 2764.4ms/step | 8.7 samples/s
|
| 155 |
+
Step 480/20005 | Loss: 4.8340 | LR: 5.00e-04 | 2762.8ms/step | 8.7 samples/s
|
| 156 |
+
Step 490/20005 | Loss: 4.8180 | LR: 5.00e-04 | 2763.8ms/step | 8.7 samples/s
|
| 157 |
+
Step 500/20005 | Loss: 4.7787 | LR: 5.00e-04 | 2765.4ms/step | 8.7 samples/s
|
| 158 |
+
Validation at step 500: Loss = 4.7717, Perplexity = 118.12
|
| 159 |
+
Step 510/20005 | Loss: 4.7716 | LR: 5.00e-04 | 21970.5ms/step | 1.1 samples/s
|
| 160 |
+
Step 520/20005 | Loss: 4.7357 | LR: 5.00e-04 | 2764.5ms/step | 8.7 samples/s
|
| 161 |
+
Step 530/20005 | Loss: 4.6742 | LR: 5.00e-04 | 2764.1ms/step | 8.7 samples/s
|
| 162 |
+
Step 540/20005 | Loss: 4.6742 | LR: 5.00e-04 | 2762.8ms/step | 8.7 samples/s
|
| 163 |
+
Step 550/20005 | Loss: 4.6391 | LR: 5.00e-04 | 2760.2ms/step | 8.7 samples/s
|
| 164 |
+
Step 560/20005 | Loss: 4.5814 | LR: 5.00e-04 | 2763.6ms/step | 8.7 samples/s
|
| 165 |
+
Step 570/20005 | Loss: 4.6031 | LR: 5.00e-04 | 2763.3ms/step | 8.7 samples/s
|
| 166 |
+
Step 580/20005 | Loss: 4.5612 | LR: 5.00e-04 | 2760.8ms/step | 8.7 samples/s
|
| 167 |
+
Step 590/20005 | Loss: 4.5202 | LR: 5.00e-04 | 2761.0ms/step | 8.7 samples/s
|
| 168 |
+
Step 600/20005 | Loss: 4.5007 | LR: 5.00e-04 | 2761.9ms/step | 8.7 samples/s
|
| 169 |
+
Step 610/20005 | Loss: 4.4848 | LR: 5.00e-04 | 2769.3ms/step | 8.7 samples/s
|
| 170 |
+
Step 620/20005 | Loss: 4.4061 | LR: 5.00e-04 | 2769.8ms/step | 8.7 samples/s
|
| 171 |
+
Step 630/20005 | Loss: 4.4174 | LR: 5.00e-04 | 2764.1ms/step | 8.7 samples/s
|
| 172 |
+
Step 640/20005 | Loss: 4.3735 | LR: 5.00e-04 | 2765.4ms/step | 8.7 samples/s
|
| 173 |
+
Step 650/20005 | Loss: 4.3873 | LR: 4.99e-04 | 2763.5ms/step | 8.7 samples/s
|
| 174 |
+
Step 660/20005 | Loss: 4.3536 | LR: 4.99e-04 | 2763.3ms/step | 8.7 samples/s
|
| 175 |
+
Step 670/20005 | Loss: 4.3517 | LR: 4.99e-04 | 2761.8ms/step | 8.7 samples/s
|
| 176 |
+
Step 680/20005 | Loss: 4.3266 | LR: 4.99e-04 | 2761.8ms/step | 8.7 samples/s
|
| 177 |
+
Step 690/20005 | Loss: 4.2936 | LR: 4.99e-04 | 2764.7ms/step | 8.7 samples/s
|
| 178 |
+
Step 700/20005 | Loss: 4.2970 | LR: 4.99e-04 | 2759.3ms/step | 8.7 samples/s
|
| 179 |
+
Step 710/20005 | Loss: 4.2761 | LR: 4.99e-04 | 2762.3ms/step | 8.7 samples/s
|
| 180 |
+
Step 720/20005 | Loss: 4.2406 | LR: 4.99e-04 | 2765.5ms/step | 8.7 samples/s
|
| 181 |
+
Step 730/20005 | Loss: 4.2322 | LR: 4.99e-04 | 2763.8ms/step | 8.7 samples/s
|
| 182 |
+
Step 740/20005 | Loss: 4.2136 | LR: 4.99e-04 | 2768.5ms/step | 8.7 samples/s
|
| 183 |
+
Step 750/20005 | Loss: 4.1953 | LR: 4.99e-04 | 2759.0ms/step | 8.7 samples/s
|
| 184 |
+
Validation at step 750: Loss = 4.1968, Perplexity = 66.48
|
| 185 |
+
Step 760/20005 | Loss: 4.1865 | LR: 4.99e-04 | 21967.0ms/step | 1.1 samples/s
|
| 186 |
+
Step 770/20005 | Loss: 4.1984 | LR: 4.99e-04 | 2763.4ms/step | 8.7 samples/s
|
| 187 |
+
Step 780/20005 | Loss: 4.1796 | LR: 4.99e-04 | 2760.6ms/step | 8.7 samples/s
|
| 188 |
+
Step 790/20005 | Loss: 4.1476 | LR: 4.99e-04 | 2760.3ms/step | 8.7 samples/s
|
| 189 |
+
Step 800/20005 | Loss: 4.1562 | LR: 4.99e-04 | 2759.9ms/step | 8.7 samples/s
|
| 190 |
+
Step 810/20005 | Loss: 4.1258 | LR: 4.99e-04 | 2766.0ms/step | 8.7 samples/s
|
| 191 |
+
Step 820/20005 | Loss: 4.1101 | LR: 4.99e-04 | 2764.8ms/step | 8.7 samples/s
|
| 192 |
+
Step 830/20005 | Loss: 4.1161 | LR: 4.99e-04 | 2760.1ms/step | 8.7 samples/s
|
| 193 |
+
Step 840/20005 | Loss: 4.0501 | LR: 4.99e-04 | 2760.0ms/step | 8.7 samples/s
|
| 194 |
+
Step 850/20005 | Loss: 4.0656 | LR: 4.99e-04 | 2760.2ms/step | 8.7 samples/s
|
| 195 |
+
Step 860/20005 | Loss: 4.0494 | LR: 4.99e-04 | 2762.2ms/step | 8.7 samples/s
|
| 196 |
+
Step 870/20005 | Loss: 4.0592 | LR: 4.99e-04 | 2761.6ms/step | 8.7 samples/s
|
| 197 |
+
Step 880/20005 | Loss: 4.0562 | LR: 4.99e-04 | 2761.6ms/step | 8.7 samples/s
|
| 198 |
+
Step 890/20005 | Loss: 4.0351 | LR: 4.99e-04 | 2762.6ms/step | 8.7 samples/s
|
| 199 |
+
Step 900/20005 | Loss: 4.0388 | LR: 4.99e-04 | 2758.5ms/step | 8.7 samples/s
|
| 200 |
+
Step 910/20005 | Loss: 4.0095 | LR: 4.99e-04 | 2760.4ms/step | 8.7 samples/s
|
| 201 |
+
Step 920/20005 | Loss: 4.0152 | LR: 4.99e-04 | 2763.2ms/step | 8.7 samples/s
|
| 202 |
+
Step 930/20005 | Loss: 3.9833 | LR: 4.99e-04 | 2761.1ms/step | 8.7 samples/s
|
| 203 |
+
Step 940/20005 | Loss: 3.9842 | LR: 4.98e-04 | 2760.9ms/step | 8.7 samples/s
|
| 204 |
+
Step 950/20005 | Loss: 3.9791 | LR: 4.98e-04 | 2759.2ms/step | 8.7 samples/s
|
| 205 |
+
Step 960/20005 | Loss: 3.9441 | LR: 4.98e-04 | 2759.0ms/step | 8.7 samples/s
|
| 206 |
+
Step 970/20005 | Loss: 3.9736 | LR: 4.98e-04 | 2760.3ms/step | 8.7 samples/s
|
| 207 |
+
Step 980/20005 | Loss: 3.9647 | LR: 4.98e-04 | 2756.9ms/step | 8.7 samples/s
|
| 208 |
+
Step 990/20005 | Loss: 3.9493 | LR: 4.98e-04 | 2760.7ms/step | 8.7 samples/s
|
| 209 |
+
Step 1000/20005 | Loss: 3.9614 | LR: 4.98e-04 | 2759.9ms/step | 8.7 samples/s
|
| 210 |
+
Validation at step 1000: Loss = 3.9378, Perplexity = 51.30
|
| 211 |
+
Saved checkpoint to checkpoints/run_20260511_144655/checkpoint-1000
|
| 212 |
+
Step 1010/20005 | Loss: 3.9502 | LR: 4.98e-04 | 22757.1ms/step | 1.1 samples/s
|
| 213 |
+
Step 1020/20005 | Loss: 3.9399 | LR: 4.98e-04 | 2773.0ms/step | 8.7 samples/s
|
| 214 |
+
Step 1030/20005 | Loss: 3.8943 | LR: 4.98e-04 | 2768.1ms/step | 8.7 samples/s
|
| 215 |
+
Step 1040/20005 | Loss: 3.9048 | LR: 4.98e-04 | 2758.9ms/step | 8.7 samples/s
|
| 216 |
+
Step 1050/20005 | Loss: 3.8844 | LR: 4.98e-04 | 2761.5ms/step | 8.7 samples/s
|
| 217 |
+
Step 1060/20005 | Loss: 3.8969 | LR: 4.98e-04 | 2760.9ms/step | 8.7 samples/s
|
| 218 |
+
Step 1070/20005 | Loss: 3.8798 | LR: 4.98e-04 | 2761.2ms/step | 8.7 samples/s
|
| 219 |
+
Step 1080/20005 | Loss: 3.8848 | LR: 4.98e-04 | 2761.4ms/step | 8.7 samples/s
|
| 220 |
+
Step 1090/20005 | Loss: 3.8684 | LR: 4.98e-04 | 2761.7ms/step | 8.7 samples/s
|
| 221 |
+
Step 1100/20005 | Loss: 3.8897 | LR: 4.98e-04 | 2760.6ms/step | 8.7 samples/s
|
| 222 |
+
Step 1110/20005 | Loss: 3.8610 | LR: 4.98e-04 | 2764.1ms/step | 8.7 samples/s
|
| 223 |
+
Step 1120/20005 | Loss: 3.8162 | LR: 4.98e-04 | 2768.2ms/step | 8.7 samples/s
|
| 224 |
+
Step 1130/20005 | Loss: 3.8480 | LR: 4.98e-04 | 2766.9ms/step | 8.7 samples/s
|
| 225 |
+
Step 1140/20005 | Loss: 3.8472 | LR: 4.98e-04 | 2762.1ms/step | 8.7 samples/s
|
| 226 |
+
Step 1150/20005 | Loss: 3.8400 | LR: 4.97e-04 | 2761.8ms/step | 8.7 samples/s
|
| 227 |
+
Step 1160/20005 | Loss: 3.8394 | LR: 4.97e-04 | 2758.6ms/step | 8.7 samples/s
|
| 228 |
+
Step 1170/20005 | Loss: 3.8153 | LR: 4.97e-04 | 2757.9ms/step | 8.7 samples/s
|
| 229 |
+
Step 1180/20005 | Loss: 3.8324 | LR: 4.97e-04 | 2760.6ms/step | 8.7 samples/s
|
| 230 |
+
Step 1190/20005 | Loss: 3.8034 | LR: 4.97e-04 | 2759.9ms/step | 8.7 samples/s
|
| 231 |
+
Step 1200/20005 | Loss: 3.8027 | LR: 4.97e-04 | 2761.3ms/step | 8.7 samples/s
|
| 232 |
+
Step 1210/20005 | Loss: 3.8133 | LR: 4.97e-04 | 2769.0ms/step | 8.7 samples/s
|
| 233 |
+
Step 1220/20005 | Loss: 3.8230 | LR: 4.97e-04 | 2762.4ms/step | 8.7 samples/s
|
| 234 |
+
Step 1230/20005 | Loss: 3.8067 | LR: 4.97e-04 | 2761.5ms/step | 8.7 samples/s
|
| 235 |
+
Step 1240/20005 | Loss: 3.8100 | LR: 4.97e-04 | 2764.9ms/step | 8.7 samples/s
|
| 236 |
+
Step 1250/20005 | Loss: 3.7590 | LR: 4.97e-04 | 2767.2ms/step | 8.7 samples/s
|
| 237 |
+
Validation at step 1250: Loss = 3.7802, Perplexity = 43.82
|
| 238 |
+
Step 1260/20005 | Loss: 3.7793 | LR: 4.97e-04 | 21974.8ms/step | 1.1 samples/s
|
| 239 |
+
Step 1270/20005 | Loss: 3.7680 | LR: 4.97e-04 | 2762.1ms/step | 8.7 samples/s
|
| 240 |
+
Step 1280/20005 | Loss: 3.7410 | LR: 4.97e-04 | 2764.9ms/step | 8.7 samples/s
|
| 241 |
+
Step 1290/20005 | Loss: 3.7464 | LR: 4.97e-04 | 2763.5ms/step | 8.7 samples/s
|
| 242 |
+
Step 1300/20005 | Loss: 3.7590 | LR: 4.97e-04 | 2765.3ms/step | 8.7 samples/s
|
| 243 |
+
Step 1310/20005 | Loss: 3.7588 | LR: 4.96e-04 | 2764.4ms/step | 8.7 samples/s
|
| 244 |
+
Step 1320/20005 | Loss: 3.7709 | LR: 4.96e-04 | 2763.6ms/step | 8.7 samples/s
|
| 245 |
+
Step 1330/20005 | Loss: 3.7533 | LR: 4.96e-04 | 2761.1ms/step | 8.7 samples/s
|
| 246 |
+
Step 1340/20005 | Loss: 3.7543 | LR: 4.96e-04 | 2760.0ms/step | 8.7 samples/s
|
| 247 |
+
Step 1350/20005 | Loss: 3.7578 | LR: 4.96e-04 | 2761.4ms/step | 8.7 samples/s
|
| 248 |
+
Step 1360/20005 | Loss: 3.7703 | LR: 4.96e-04 | 2760.5ms/step | 8.7 samples/s
|
| 249 |
+
Step 1370/20005 | Loss: 3.7302 | LR: 4.96e-04 | 2759.9ms/step | 8.7 samples/s
|
| 250 |
+
Step 1380/20005 | Loss: 3.7250 | LR: 4.96e-04 | 2760.7ms/step | 8.7 samples/s
|
| 251 |
+
Step 1390/20005 | Loss: 3.7123 | LR: 4.96e-04 | 2760.1ms/step | 8.7 samples/s
|
| 252 |
+
Step 1400/20005 | Loss: 3.7132 | LR: 4.96e-04 | 2762.4ms/step | 8.7 samples/s
|
| 253 |
+
Step 1410/20005 | Loss: 3.7260 | LR: 4.96e-04 | 2762.7ms/step | 8.7 samples/s
|
| 254 |
+
Step 1420/20005 | Loss: 3.7089 | LR: 4.96e-04 | 2764.7ms/step | 8.7 samples/s
|
| 255 |
+
Step 1430/20005 | Loss: 3.7120 | LR: 4.96e-04 | 2761.9ms/step | 8.7 samples/s
|
| 256 |
+
Step 1440/20005 | Loss: 3.7123 | LR: 4.96e-04 | 2761.3ms/step | 8.7 samples/s
|
| 257 |
+
Step 1450/20005 | Loss: 3.6496 | LR: 4.95e-04 | 2760.2ms/step | 8.7 samples/s
|
| 258 |
+
Step 1460/20005 | Loss: 3.7129 | LR: 4.95e-04 | 2761.8ms/step | 8.7 samples/s
|
| 259 |
+
Step 1470/20005 | Loss: 3.6914 | LR: 4.95e-04 | 2764.0ms/step | 8.7 samples/s
|
| 260 |
+
Step 1480/20005 | Loss: 3.6677 | LR: 4.95e-04 | 2767.3ms/step | 8.7 samples/s
|
| 261 |
+
Step 1490/20005 | Loss: 3.6743 | LR: 4.95e-04 | 2769.6ms/step | 8.7 samples/s
|
| 262 |
+
Step 1500/20005 | Loss: 3.6833 | LR: 4.95e-04 | 2766.2ms/step | 8.7 samples/s
|
| 263 |
+
Validation at step 1500: Loss = 3.6760, Perplexity = 39.49
|
| 264 |
+
Step 1510/20005 | Loss: 3.6669 | LR: 4.95e-04 | 21970.0ms/step | 1.1 samples/s
|
| 265 |
+
Step 1520/20005 | Loss: 3.6419 | LR: 4.95e-04 | 2765.1ms/step | 8.7 samples/s
|
| 266 |
+
Step 1530/20005 | Loss: 3.6672 | LR: 4.95e-04 | 2763.5ms/step | 8.7 samples/s
|
| 267 |
+
Step 1540/20005 | Loss: 3.6528 | LR: 4.95e-04 | 2762.5ms/step | 8.7 samples/s
|
| 268 |
+
Step 1550/20005 | Loss: 3.6560 | LR: 4.95e-04 | 2761.6ms/step | 8.7 samples/s
|
| 269 |
+
Step 1560/20005 | Loss: 3.6824 | LR: 4.95e-04 | 2764.9ms/step | 8.7 samples/s
|
| 270 |
+
Step 1570/20005 | Loss: 3.6457 | LR: 4.95e-04 | 2762.7ms/step | 8.7 samples/s
|
| 271 |
+
Step 1580/20005 | Loss: 3.6624 | LR: 4.94e-04 | 2764.1ms/step | 8.7 samples/s
|
| 272 |
+
Step 1590/20005 | Loss: 3.6307 | LR: 4.94e-04 | 2759.5ms/step | 8.7 samples/s
|
| 273 |
+
Step 1600/20005 | Loss: 3.6590 | LR: 4.94e-04 | 2764.9ms/step | 8.7 samples/s
|
| 274 |
+
Step 1610/20005 | Loss: 3.6517 | LR: 4.94e-04 | 2766.3ms/step | 8.7 samples/s
|
| 275 |
+
Step 1620/20005 | Loss: 3.6301 | LR: 4.94e-04 | 2764.2ms/step | 8.7 samples/s
|
| 276 |
+
Step 1630/20005 | Loss: 3.6345 | LR: 4.94e-04 | 2761.3ms/step | 8.7 samples/s
|
| 277 |
+
Step 1640/20005 | Loss: 3.6269 | LR: 4.94e-04 | 2762.7ms/step | 8.7 samples/s
|
| 278 |
+
Step 1650/20005 | Loss: 3.6186 | LR: 4.94e-04 | 2764.5ms/step | 8.7 samples/s
|
| 279 |
+
Step 1660/20005 | Loss: 3.6120 | LR: 4.94e-04 | 2765.6ms/step | 8.7 samples/s
|
| 280 |
+
Step 1670/20005 | Loss: 3.6311 | LR: 4.94e-04 | 2761.4ms/step | 8.7 samples/s
|
| 281 |
+
Step 1680/20005 | Loss: 3.5989 | LR: 4.94e-04 | 2760.9ms/step | 8.7 samples/s
|
| 282 |
+
Step 1690/20005 | Loss: 3.6385 | LR: 4.93e-04 | 2760.3ms/step | 8.7 samples/s
|
| 283 |
+
Step 1700/20005 | Loss: 3.5767 | LR: 4.93e-04 | 2759.4ms/step | 8.7 samples/s
|
| 284 |
+
Step 1710/20005 | Loss: 3.6037 | LR: 4.93e-04 | 2762.7ms/step | 8.7 samples/s
|
| 285 |
+
Step 1720/20005 | Loss: 3.6079 | LR: 4.93e-04 | 2765.5ms/step | 8.7 samples/s
|
| 286 |
+
Step 1730/20005 | Loss: 3.5820 | LR: 4.93e-04 | 2765.1ms/step | 8.7 samples/s
|
| 287 |
+
Step 1740/20005 | Loss: 3.6000 | LR: 4.93e-04 | 2758.8ms/step | 8.7 samples/s
|
| 288 |
+
Step 1750/20005 | Loss: 3.6089 | LR: 4.93e-04 | 2759.8ms/step | 8.7 samples/s
|
| 289 |
+
Validation at step 1750: Loss = 3.5972, Perplexity = 36.50
|
| 290 |
+
Step 1760/20005 | Loss: 3.5940 | LR: 4.93e-04 | 21967.1ms/step | 1.1 samples/s
|
| 291 |
+
Step 1770/20005 | Loss: 3.6168 | LR: 4.93e-04 | 2760.4ms/step | 8.7 samples/s
|
| 292 |
+
Step 1780/20005 | Loss: 3.5906 | LR: 4.93e-04 | 2763.4ms/step | 8.7 samples/s
|
| 293 |
+
Step 1790/20005 | Loss: 3.5826 | LR: 4.93e-04 | 2765.2ms/step | 8.7 samples/s
|
| 294 |
+
Step 1800/20005 | Loss: 3.5814 | LR: 4.92e-04 | 2766.0ms/step | 8.7 samples/s
|
| 295 |
+
Step 1810/20005 | Loss: 3.5834 | LR: 4.92e-04 | 2760.0ms/step | 8.7 samples/s
|
| 296 |
+
Step 1820/20005 | Loss: 3.5776 | LR: 4.92e-04 | 2759.6ms/step | 8.7 samples/s
|
| 297 |
+
Step 1830/20005 | Loss: 3.6098 | LR: 4.92e-04 | 2758.7ms/step | 8.7 samples/s
|
| 298 |
+
Step 1840/20005 | Loss: 3.5599 | LR: 4.92e-04 | 2764.5ms/step | 8.7 samples/s
|
| 299 |
+
Step 1850/20005 | Loss: 3.5589 | LR: 4.92e-04 | 2760.0ms/step | 8.7 samples/s
|
| 300 |
+
Step 1860/20005 | Loss: 3.6060 | LR: 4.92e-04 | 2758.6ms/step | 8.7 samples/s
|
| 301 |
+
Step 1870/20005 | Loss: 3.5471 | LR: 4.92e-04 | 2762.5ms/step | 8.7 samples/s
|
| 302 |
+
Step 1880/20005 | Loss: 3.5732 | LR: 4.92e-04 | 2764.0ms/step | 8.7 samples/s
|
| 303 |
+
Step 1890/20005 | Loss: 3.5642 | LR: 4.92e-04 | 2762.8ms/step | 8.7 samples/s
|
| 304 |
+
Step 1900/20005 | Loss: 3.5551 | LR: 4.91e-04 | 2764.6ms/step | 8.7 samples/s
|
| 305 |
+
Step 1910/20005 | Loss: 3.5654 | LR: 4.91e-04 | 2765.4ms/step | 8.7 samples/s
|
| 306 |
+
Step 1920/20005 | Loss: 3.5404 | LR: 4.91e-04 | 2766.8ms/step | 8.7 samples/s
|
| 307 |
+
Step 1930/20005 | Loss: 3.5564 | LR: 4.91e-04 | 2759.6ms/step | 8.7 samples/s
|
| 308 |
+
Step 1940/20005 | Loss: 3.5298 | LR: 4.91e-04 | 2761.4ms/step | 8.7 samples/s
|
| 309 |
+
Step 1950/20005 | Loss: 3.5578 | LR: 4.91e-04 | 2760.4ms/step | 8.7 samples/s
|
| 310 |
+
Step 1960/20005 | Loss: 3.5382 | LR: 4.91e-04 | 2767.1ms/step | 8.7 samples/s
|
| 311 |
+
Step 1970/20005 | Loss: 3.5331 | LR: 4.91e-04 | 2762.8ms/step | 8.7 samples/s
|
| 312 |
+
Step 1980/20005 | Loss: 3.5729 | LR: 4.91e-04 | 2764.6ms/step | 8.7 samples/s
|
| 313 |
+
Step 1990/20005 | Loss: 3.5470 | LR: 4.90e-04 | 2769.8ms/step | 8.7 samples/s
|
| 314 |
+
Step 2000/20005 | Loss: 3.5356 | LR: 4.90e-04 | 2762.0ms/step | 8.7 samples/s
|
| 315 |
+
Validation at step 2000: Loss = 3.5327, Perplexity = 34.22
|
| 316 |
+
Saved checkpoint to checkpoints/run_20260511_144655/checkpoint-2000
|
| 317 |
+
Step 2010/20005 | Loss: 3.5537 | LR: 4.90e-04 | 22546.5ms/step | 1.1 samples/s
|
| 318 |
+
Step 2020/20005 | Loss: 3.5415 | LR: 4.90e-04 | 2900.2ms/step | 8.3 samples/s
|
| 319 |
+
Step 2030/20005 | Loss: 3.5328 | LR: 4.90e-04 | 2774.9ms/step | 8.6 samples/s
|
| 320 |
+
Step 2040/20005 | Loss: 3.5122 | LR: 4.90e-04 | 2773.5ms/step | 8.7 samples/s
|
| 321 |
+
Step 2050/20005 | Loss: 3.5349 | LR: 4.90e-04 | 2774.2ms/step | 8.7 samples/s
|
| 322 |
+
Step 2060/20005 | Loss: 3.5354 | LR: 4.90e-04 | 2774.3ms/step | 8.7 samples/s
|
| 323 |
+
Step 2070/20005 | Loss: 3.4937 | LR: 4.90e-04 | 2776.1ms/step | 8.6 samples/s
|
| 324 |
+
Step 2080/20005 | Loss: 3.5230 | LR: 4.89e-04 | 2776.0ms/step | 8.6 samples/s
|
| 325 |
+
Step 2090/20005 | Loss: 3.5196 | LR: 4.89e-04 | 2779.5ms/step | 8.6 samples/s
|
| 326 |
+
Step 2100/20005 | Loss: 3.4990 | LR: 4.89e-04 | 2782.3ms/step | 8.6 samples/s
|
| 327 |
+
Step 2110/20005 | Loss: 3.5098 | LR: 4.89e-04 | 2776.2ms/step | 8.6 samples/s
|
| 328 |
+
Step 2120/20005 | Loss: 3.5074 | LR: 4.89e-04 | 2777.2ms/step | 8.6 samples/s
|
| 329 |
+
Step 2130/20005 | Loss: 3.5017 | LR: 4.89e-04 | 2779.7ms/step | 8.6 samples/s
|
| 330 |
+
Step 2140/20005 | Loss: 3.5224 | LR: 4.89e-04 | 2777.2ms/step | 8.6 samples/s
|
| 331 |
+
Step 2150/20005 | Loss: 3.5273 | LR: 4.89e-04 | 2777.6ms/step | 8.6 samples/s
|
| 332 |
+
Step 2160/20005 | Loss: 3.4821 | LR: 4.89e-04 | 2777.0ms/step | 8.6 samples/s
|
| 333 |
+
Step 2170/20005 | Loss: 3.4882 | LR: 4.88e-04 | 2775.4ms/step | 8.6 samples/s
|
| 334 |
+
Step 2180/20005 | Loss: 3.5056 | LR: 4.88e-04 | 2776.3ms/step | 8.6 samples/s
|
| 335 |
+
Step 2190/20005 | Loss: 3.4907 | LR: 4.88e-04 | 2776.5ms/step | 8.6 samples/s
|
| 336 |
+
Step 2200/20005 | Loss: 3.4449 | LR: 4.88e-04 | 2779.5ms/step | 8.6 samples/s
|
| 337 |
+
Step 2210/20005 | Loss: 3.4835 | LR: 4.88e-04 | 2778.7ms/step | 8.6 samples/s
|
| 338 |
+
Step 2220/20005 | Loss: 3.4972 | LR: 4.88e-04 | 2779.0ms/step | 8.6 samples/s
|
| 339 |
+
Step 2230/20005 | Loss: 3.4878 | LR: 4.88e-04 | 2776.1ms/step | 8.6 samples/s
|
| 340 |
+
Step 2240/20005 | Loss: 3.4760 | LR: 4.88e-04 | 2776.2ms/step | 8.6 samples/s
|
| 341 |
+
Step 2250/20005 | Loss: 3.4730 | LR: 4.87e-04 | 2776.1ms/step | 8.6 samples/s
|
| 342 |
+
Validation at step 2250: Loss = 3.4829, Perplexity = 32.55
|
| 343 |
+
Step 2260/20005 | Loss: 3.5219 | LR: 4.87e-04 | 21980.2ms/step | 1.1 samples/s
|
| 344 |
+
Step 2270/20005 | Loss: 3.4758 | LR: 4.87e-04 | 2779.8ms/step | 8.6 samples/s
|
| 345 |
+
Step 2280/20005 | Loss: 3.4983 | LR: 4.87e-04 | 2779.4ms/step | 8.6 samples/s
|
| 346 |
+
Step 2290/20005 | Loss: 3.4257 | LR: 4.87e-04 | 2776.0ms/step | 8.6 samples/s
|
| 347 |
+
Step 2300/20005 | Loss: 3.4590 | LR: 4.87e-04 | 2776.7ms/step | 8.6 samples/s
|
| 348 |
+
Step 2310/20005 | Loss: 3.4969 | LR: 4.87e-04 | 2775.8ms/step | 8.6 samples/s
|
| 349 |
+
Step 2320/20005 | Loss: 3.4762 | LR: 4.87e-04 | 2778.3ms/step | 8.6 samples/s
|
| 350 |
+
Step 2330/20005 | Loss: 3.4350 | LR: 4.86e-04 | 2774.7ms/step | 8.6 samples/s
|
| 351 |
+
Step 2340/20005 | Loss: 3.4633 | LR: 4.86e-04 | 2775.2ms/step | 8.6 samples/s
|
| 352 |
+
Step 2350/20005 | Loss: 3.4464 | LR: 4.86e-04 | 2775.9ms/step | 8.6 samples/s
|
| 353 |
+
Step 2360/20005 | Loss: 3.4851 | LR: 4.86e-04 | 2774.7ms/step | 8.6 samples/s
|
| 354 |
+
Step 2370/20005 | Loss: 3.4674 | LR: 4.86e-04 | 2781.2ms/step | 8.6 samples/s
|
| 355 |
+
Step 2380/20005 | Loss: 3.4630 | LR: 4.86e-04 | 2778.2ms/step | 8.6 samples/s
|
| 356 |
+
Step 2390/20005 | Loss: 3.4291 | LR: 4.86e-04 | 2780.2ms/step | 8.6 samples/s
|
| 357 |
+
Step 2400/20005 | Loss: 3.4631 | LR: 4.86e-04 | 2776.8ms/step | 8.6 samples/s
|
| 358 |
+
Step 2410/20005 | Loss: 3.4514 | LR: 4.85e-04 | 2779.0ms/step | 8.6 samples/s
|
| 359 |
+
Step 2420/20005 | Loss: 3.4679 | LR: 4.85e-04 | 2780.1ms/step | 8.6 samples/s
|
| 360 |
+
Step 2430/20005 | Loss: 3.4501 | LR: 4.85e-04 | 2779.9ms/step | 8.6 samples/s
|
| 361 |
+
Step 2440/20005 | Loss: 3.4360 | LR: 4.85e-04 | 2777.8ms/step | 8.6 samples/s
|
| 362 |
+
Step 2450/20005 | Loss: 3.4388 | LR: 4.85e-04 | 2776.1ms/step | 8.6 samples/s
|
| 363 |
+
Step 2460/20005 | Loss: 3.4404 | LR: 4.85e-04 | 2776.2ms/step | 8.6 samples/s
|
| 364 |
+
Step 2470/20005 | Loss: 3.4448 | LR: 4.85e-04 | 2780.3ms/step | 8.6 samples/s
|
| 365 |
+
Step 2480/20005 | Loss: 3.4615 | LR: 4.84e-04 | 2780.3ms/step | 8.6 samples/s
|
| 366 |
+
Step 2490/20005 | Loss: 3.4554 | LR: 4.84e-04 | 2778.7ms/step | 8.6 samples/s
|
| 367 |
+
Step 2500/20005 | Loss: 3.4341 | LR: 4.84e-04 | 2779.7ms/step | 8.6 samples/s
|
| 368 |
+
Validation at step 2500: Loss = 3.4384, Perplexity = 31.14
|
| 369 |
+
Step 2510/20005 | Loss: 3.4515 | LR: 4.84e-04 | 21984.1ms/step | 1.1 samples/s
|
| 370 |
+
Step 2520/20005 | Loss: 3.4192 | LR: 4.84e-04 | 2777.8ms/step | 8.6 samples/s
|
| 371 |
+
Step 2530/20005 | Loss: 3.4176 | LR: 4.84e-04 | 2776.7ms/step | 8.6 samples/s
|
| 372 |
+
Step 2540/20005 | Loss: 3.4397 | LR: 4.84e-04 | 2774.8ms/step | 8.6 samples/s
|
| 373 |
+
Step 2550/20005 | Loss: 3.4319 | LR: 4.83e-04 | 2777.4ms/step | 8.6 samples/s
|
| 374 |
+
Step 2560/20005 | Loss: 3.4746 | LR: 4.83e-04 | 2783.9ms/step | 8.6 samples/s
|
| 375 |
+
Step 2570/20005 | Loss: 3.4274 | LR: 4.83e-04 | 2782.8ms/step | 8.6 samples/s
|
| 376 |
+
Step 2580/20005 | Loss: 3.4110 | LR: 4.83e-04 | 2779.1ms/step | 8.6 samples/s
|
| 377 |
+
Step 2590/20005 | Loss: 3.4279 | LR: 4.83e-04 | 2777.2ms/step | 8.6 samples/s
|
| 378 |
+
Step 2600/20005 | Loss: 3.4287 | LR: 4.83e-04 | 2778.1ms/step | 8.6 samples/s
|
| 379 |
+
Step 2610/20005 | Loss: 3.4100 | LR: 4.83e-04 | 2777.9ms/step | 8.6 samples/s
|
| 380 |
+
Step 2620/20005 | Loss: 3.4379 | LR: 4.82e-04 | 2779.5ms/step | 8.6 samples/s
|
| 381 |
+
Step 2630/20005 | Loss: 3.4227 | LR: 4.82e-04 | 2774.8ms/step | 8.6 samples/s
|
| 382 |
+
Step 2640/20005 | Loss: 3.4485 | LR: 4.82e-04 | 2776.1ms/step | 8.6 samples/s
|
| 383 |
+
Step 2650/20005 | Loss: 3.4062 | LR: 4.82e-04 | 2775.0ms/step | 8.6 samples/s
|
| 384 |
+
Step 2660/20005 | Loss: 3.4128 | LR: 4.82e-04 | 2776.1ms/step | 8.6 samples/s
|
| 385 |
+
Step 2670/20005 | Loss: 3.4134 | LR: 4.82e-04 | 2776.4ms/step | 8.6 samples/s
|
| 386 |
+
Step 2680/20005 | Loss: 3.3835 | LR: 4.82e-04 | 2774.4ms/step | 8.7 samples/s
|
| 387 |
+
Step 2690/20005 | Loss: 3.4207 | LR: 4.81e-04 | 2775.1ms/step | 8.6 samples/s
|
| 388 |
+
Step 2700/20005 | Loss: 3.4129 | LR: 4.81e-04 | 2778.3ms/step | 8.6 samples/s
|
| 389 |
+
Step 2710/20005 | Loss: 3.4065 | LR: 4.81e-04 | 2779.5ms/step | 8.6 samples/s
|
| 390 |
+
Step 2720/20005 | Loss: 3.4024 | LR: 4.81e-04 | 2777.1ms/step | 8.6 samples/s
|
| 391 |
+
Step 2730/20005 | Loss: 3.4377 | LR: 4.81e-04 | 2777.0ms/step | 8.6 samples/s
|
| 392 |
+
Step 2740/20005 | Loss: 3.3884 | LR: 4.81e-04 | 2776.3ms/step | 8.6 samples/s
|
| 393 |
+
Step 2750/20005 | Loss: 3.4484 | LR: 4.81e-04 | 2773.7ms/step | 8.7 samples/s
|
| 394 |
+
Validation at step 2750: Loss = 3.4030, Perplexity = 30.05
|
| 395 |
+
Traceback (most recent call last):
|
| 396 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1082, in <module>
|
| 397 |
+
main()
|
| 398 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1078, in main
|
| 399 |
+
train(config)
|
| 400 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 918, in train
|
| 401 |
+
for step, batch in enumerate(train_loader):
|
| 402 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 741, in __next__
|
| 403 |
+
data = self._next_data()
|
| 404 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1548, in _next_data
|
| 405 |
+
return self._process_data(data, worker_id)
|
| 406 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1586, in _process_data
|
| 407 |
+
data.reraise()
|
| 408 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/_utils.py", line 785, in reraise
|
| 409 |
+
raise exception
|
| 410 |
+
RuntimeError: Caught RuntimeError in DataLoader worker process 4.
|
| 411 |
+
Original Traceback (most recent call last):
|
| 412 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/worker.py", line 358, in _worker_loop
|
| 413 |
+
data = fetcher.fetch(index) # type: ignore[possibly-undefined]
|
| 414 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 57, in fetch
|
| 415 |
+
return self.collate_fn(data)
|
| 416 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 401, in default_collate
|
| 417 |
+
return collate(batch, collate_fn_map=default_collate_fn_map)
|
| 418 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 171, in collate
|
| 419 |
+
{
|
| 420 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 172, in <dictcomp>
|
| 421 |
+
key: collate(
|
| 422 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 155, in collate
|
| 423 |
+
return collate_fn_map[elem_type](batch, collate_fn_map=collate_fn_map)
|
| 424 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 273, in collate_tensor_fn
|
| 425 |
+
storage = elem._typed_storage()._new_shared(numel, device=elem.device)
|
| 426 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/storage.py", line 1210, in _new_shared
|
| 427 |
+
untyped_storage = torch.UntypedStorage._new_shared(
|
| 428 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/storage.py", line 414, in _new_shared
|
| 429 |
+
return cls._new_using_fd_cpu(size)
|
| 430 |
+
RuntimeError: unable to allocate shared memory(shm) for file </torch_3831_3158233914_8271>: Success (0)
|
| 431 |
+
|
| 432 |
+
Traceback (most recent call last):
|
| 433 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1082, in <module>
|
| 434 |
+
main()
|
| 435 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1078, in main
|
| 436 |
+
train(config)
|
| 437 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 918, in train
|
| 438 |
+
for step, batch in enumerate(train_loader):
|
| 439 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 741, in __next__
|
| 440 |
+
data = self._next_data()
|
| 441 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1548, in _next_data
|
| 442 |
+
return self._process_data(data, worker_id)
|
| 443 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/dataloader.py", line 1586, in _process_data
|
| 444 |
+
data.reraise()
|
| 445 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/_utils.py", line 785, in reraise
|
| 446 |
+
raise exception
|
| 447 |
+
RuntimeError: Caught RuntimeError in DataLoader worker process 4.
|
| 448 |
+
Original Traceback (most recent call last):
|
| 449 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/worker.py", line 358, in _worker_loop
|
| 450 |
+
data = fetcher.fetch(index) # type: ignore[possibly-undefined]
|
| 451 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/fetch.py", line 57, in fetch
|
| 452 |
+
return self.collate_fn(data)
|
| 453 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 401, in default_collate
|
| 454 |
+
return collate(batch, collate_fn_map=default_collate_fn_map)
|
| 455 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 171, in collate
|
| 456 |
+
{
|
| 457 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 172, in <dictcomp>
|
| 458 |
+
key: collate(
|
| 459 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 155, in collate
|
| 460 |
+
return collate_fn_map[elem_type](batch, collate_fn_map=collate_fn_map)
|
| 461 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/utils/data/_utils/collate.py", line 273, in collate_tensor_fn
|
| 462 |
+
storage = elem._typed_storage()._new_shared(numel, device=elem.device)
|
| 463 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/storage.py", line 1210, in _new_shared
|
| 464 |
+
untyped_storage = torch.UntypedStorage._new_shared(
|
| 465 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/storage.py", line 414, in _new_shared
|
| 466 |
+
return cls._new_using_fd_cpu(size)
|
| 467 |
+
RuntimeError: unable to allocate shared memory(shm) for file </torch_3831_3158233914_8271>: Success (0)
|
epfl_final/wandb/run-20260511_155411-fii64tue/files/requirements.txt
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pytz==2026.2
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.7.0
|
| 8 |
+
tzdata==2026.2
|
| 9 |
+
typing_extensions==4.15.0
|
| 10 |
+
triton==3.6.0
|
| 11 |
+
tqdm==4.67.3
|
| 12 |
+
torchinfo==1.8.0
|
| 13 |
+
sympy==1.14.0
|
| 14 |
+
smmap==5.0.3
|
| 15 |
+
six==1.17.0
|
| 16 |
+
shellingham==1.5.4
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.5.9
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.5.2
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.2.6
|
| 38 |
+
networkx==3.4.2
|
| 39 |
+
mdurl==0.1.2
|
| 40 |
+
MarkupSafe==3.0.3
|
| 41 |
+
idna==3.14
|
| 42 |
+
hf-xet==1.5.0
|
| 43 |
+
h11==0.16.0
|
| 44 |
+
fsspec==2026.2.0
|
| 45 |
+
frozenlist==1.8.0
|
| 46 |
+
filelock==3.29.0
|
| 47 |
+
dill==0.4.1
|
| 48 |
+
cuda-pathfinder==1.5.4
|
| 49 |
+
click==8.3.3
|
| 50 |
+
charset-normalizer==3.4.7
|
| 51 |
+
certifi==2026.4.22
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
async-timeout==5.0.1
|
| 54 |
+
annotated-types==0.7.0
|
| 55 |
+
annotated-doc==0.0.4
|
| 56 |
+
aiohappyeyeballs==2.6.1
|
| 57 |
+
typing-inspection==0.4.2
|
| 58 |
+
sentry-sdk==2.59.0
|
| 59 |
+
requests==2.33.1
|
| 60 |
+
python-dateutil==2.9.0.post0
|
| 61 |
+
pydantic_core==2.46.4
|
| 62 |
+
nvidia-cusparse==12.6.3.3
|
| 63 |
+
nvidia-cufft==12.0.0.61
|
| 64 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 65 |
+
multiprocess==0.70.19
|
| 66 |
+
multidict==6.7.1
|
| 67 |
+
markdown-it-py==4.2.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
+
httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
exceptiongroup==1.3.1
|
| 72 |
+
cuda-bindings==13.2.0
|
| 73 |
+
aiosignal==1.4.0
|
| 74 |
+
yarl==1.23.0
|
| 75 |
+
rich==15.0.0
|
| 76 |
+
pydantic==2.13.4
|
| 77 |
+
pandas==2.3.3
|
| 78 |
+
nvidia-cusolver==12.0.4.66
|
| 79 |
+
GitPython==3.1.50
|
| 80 |
+
anyio==4.13.0
|
| 81 |
+
wandb==0.26.1
|
| 82 |
+
typer==0.25.1
|
| 83 |
+
httpx==0.28.1
|
| 84 |
+
aiohttp==3.13.5
|
| 85 |
+
torch==2.11.0
|
| 86 |
+
huggingface_hub==1.14.0
|
| 87 |
+
tokenizers==0.22.2
|
| 88 |
+
datasets==4.8.5
|
| 89 |
+
accelerate==1.13.0
|
| 90 |
+
transformers==5.8.0
|
| 91 |
+
PyGObject==3.42.1
|
| 92 |
+
dbus-python==1.2.18
|
| 93 |
+
distro==1.7.0
|
| 94 |
+
pip==22.0.2
|
| 95 |
+
setuptools==59.6.0
|
| 96 |
+
ssh-import-id==5.11
|
| 97 |
+
wheel==0.37.1
|
epfl_final/wandb/run-20260511_155411-fii64tue/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-59-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
+
"startedAt": "2026-05-11T15:54:11.043050Z",
|
| 5 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 6 |
+
"codePath": "SparseAtt/train.py",
|
| 7 |
+
"codePathLocal": "SparseAtt/train.py",
|
| 8 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 9 |
+
"root": "/mloscratch/homes/navasard/sparse",
|
| 10 |
+
"host": "h100-train-14-0-2",
|
| 11 |
+
"executable": "/usr/bin/python3",
|
| 12 |
+
"cpu_count": 96,
|
| 13 |
+
"cpu_count_logical": 192,
|
| 14 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 15 |
+
"gpu_count": 1,
|
| 16 |
+
"disk": {
|
| 17 |
+
"/": {
|
| 18 |
+
"total": "9374931091456",
|
| 19 |
+
"used": "7115316539392"
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
"memory": {
|
| 23 |
+
"total": "1623005847552"
|
| 24 |
+
},
|
| 25 |
+
"gpu_nvidia": [
|
| 26 |
+
{
|
| 27 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 28 |
+
"memoryTotal": "85520809984",
|
| 29 |
+
"cudaCores": 16896,
|
| 30 |
+
"architecture": "Hopper",
|
| 31 |
+
"uuid": "GPU-b52a5d1a-9d9a-90fe-c3b3-708dcea4146f"
|
| 32 |
+
}
|
| 33 |
+
],
|
| 34 |
+
"cudaVersion": "13.0",
|
| 35 |
+
"writerId": "51f4lp4opnmu0k00lxp85qgvwdbstbe2"
|
| 36 |
+
}
|
epfl_final/wandb/run-20260511_155411-fii64tue/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"speed/samples_per_sec":8.652657991278586,"speed/ms_per_step":2773.7141609191895,"speed/steps_per_sec":0.3605274163032744,"train/epoch":0.06485849056603774,"train/global_step":2750,"_timestamp":1.7785251580679338e+09,"_step":2750,"train/loss":3.4484388798475267,"train/learning_rate":0.0004805012072697279,"_runtime":10658.195056289,"eval/perplexity":30.05284934669279,"_wandb":{"runtime":10658},"eval/loss":3.4029574766755104}
|
epfl_final/wandb/run-20260511_155411-fii64tue/logs/debug-internal.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
epfl_final/wandb/run-20260511_155411-fii64tue/logs/debug.log
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_setup.py:_flush():81] Configure stats pid to 3254
|
| 3 |
+
2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 4 |
+
2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/wandb/run-20260511_155411-fii64tue/logs/debug.log
|
| 5 |
+
2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/wandb/run-20260511_155411-fii64tue/logs/debug-internal.log
|
| 6 |
+
2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': './checkpoints/run_20260511_144655', 'resume_from_checkpoint': None, 'num_epochs': 1, 'max_steps': 20005, 'per_device_batch_size': 3, 'gradient_accumulation_steps': 8, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 250, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 200, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': None, 'wandb_tags': ['qwen3', '0.6b'], 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 2000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, '_wandb': {}}
|
| 9 |
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2026-05-11 15:54:11,060 INFO MainThread:3254 [wandb_init.py:init():898] starting backend
|
| 10 |
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2026-05-11 15:54:11,292 INFO MainThread:3254 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
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2026-05-11 15:54:11,630 INFO MainThread:3254 [wandb_init.py:init():918] backend started and connected
|
| 12 |
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2026-05-11 15:54:11,632 INFO MainThread:3254 [wandb_init.py:init():988] updated telemetry
|
| 13 |
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2026-05-11 15:54:11,633 INFO MainThread:3254 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
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2026-05-11 15:54:12,600 INFO MainThread:3254 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
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2026-05-11 15:54:12,710 INFO MainThread:3254 [wandb_run.py:_console_start():2554] atexit reg
|
| 16 |
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2026-05-11 15:54:12,710 INFO MainThread:3254 [wandb_run.py:_redirect():2403] redirect: wrap_raw
|
| 17 |
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2026-05-11 15:54:12,710 INFO MainThread:3254 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
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2026-05-11 15:54:12,710 INFO MainThread:3254 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
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2026-05-11 15:54:12,713 INFO MainThread:3254 [wandb_init.py:init():1094] run started, returning control to user process
|
| 20 |
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2026-05-11 18:51:50,795 INFO wandb-AsyncioManager-main:3254 [service_client.py:_forward_responses():134] Reached EOF.
|
| 21 |
+
2026-05-11 18:51:50,796 INFO wandb-AsyncioManager-main:3254 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
|
epfl_final/wandb/run-20260511_155411-fii64tue/run-fii64tue.wandb
ADDED
|
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 1697706
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/files/config.yaml
ADDED
|
@@ -0,0 +1,134 @@
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|
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|
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|
|
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|
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|
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|
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|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.26.1
|
| 4 |
+
e:
|
| 5 |
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manc65tdg7e8jcg1vmj5aijxqj7zabic:
|
| 6 |
+
codePath: SparseAtt/train.py
|
| 7 |
+
codePathLocal: SparseAtt/train.py
|
| 8 |
+
cpu_count: 96
|
| 9 |
+
cpu_count_logical: 192
|
| 10 |
+
cudaVersion: "13.0"
|
| 11 |
+
disk:
|
| 12 |
+
/:
|
| 13 |
+
total: "9374931091456"
|
| 14 |
+
used: "7179666116608"
|
| 15 |
+
email: ruben.navasardyan@mail.utoronto.ca
|
| 16 |
+
executable: /usr/bin/python3
|
| 17 |
+
gpu: NVIDIA H100 80GB HBM3
|
| 18 |
+
gpu_count: 1
|
| 19 |
+
gpu_nvidia:
|
| 20 |
+
- architecture: Hopper
|
| 21 |
+
cudaCores: 16896
|
| 22 |
+
memoryTotal: "85520809984"
|
| 23 |
+
name: NVIDIA H100 80GB HBM3
|
| 24 |
+
uuid: GPU-b52a5d1a-9d9a-90fe-c3b3-708dcea4146f
|
| 25 |
+
host: h100-train-14-0-2
|
| 26 |
+
memory:
|
| 27 |
+
total: "1623005847552"
|
| 28 |
+
os: Linux-6.8.0-59-generic-x86_64-with-glibc2.35
|
| 29 |
+
program: /mloscratch/homes/navasard/sparse/SparseAtt/train.py
|
| 30 |
+
python: CPython 3.10.12
|
| 31 |
+
root: /mloscratch/homes/navasard/sparse
|
| 32 |
+
startedAt: "2026-05-11T20:19:33.048764Z"
|
| 33 |
+
writerId: manc65tdg7e8jcg1vmj5aijxqj7zabic
|
| 34 |
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m: []
|
| 35 |
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python_version: 3.10.12
|
| 36 |
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t:
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
+
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|
| 42 |
+
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|
| 43 |
+
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|
| 44 |
+
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|
| 45 |
+
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|
| 46 |
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|
| 47 |
+
- 51
|
| 48 |
+
- 71
|
| 49 |
+
"3":
|
| 50 |
+
- 2
|
| 51 |
+
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|
| 52 |
+
- 16
|
| 53 |
+
- 61
|
| 54 |
+
"4": 3.10.12
|
| 55 |
+
"5": 0.26.1
|
| 56 |
+
"6": 5.8.0
|
| 57 |
+
"12": 0.26.1
|
| 58 |
+
"13": linux-x86_64
|
| 59 |
+
attention_type:
|
| 60 |
+
value: sparse_stochastic
|
| 61 |
+
checkpoint_activations:
|
| 62 |
+
value: false
|
| 63 |
+
eval_batches:
|
| 64 |
+
value: 200
|
| 65 |
+
eval_steps:
|
| 66 |
+
value: 250
|
| 67 |
+
gradient_accumulation_steps:
|
| 68 |
+
value: 8
|
| 69 |
+
init_from_scratch:
|
| 70 |
+
value: true
|
| 71 |
+
learning_rate:
|
| 72 |
+
value: 0.0005
|
| 73 |
+
logging_steps:
|
| 74 |
+
value: 10
|
| 75 |
+
lr_scheduler:
|
| 76 |
+
value: cosine
|
| 77 |
+
max_grad_norm:
|
| 78 |
+
value: 1
|
| 79 |
+
max_seq_length:
|
| 80 |
+
value: 8192
|
| 81 |
+
max_steps:
|
| 82 |
+
value: 20005
|
| 83 |
+
mixed_precision:
|
| 84 |
+
value: bf16
|
| 85 |
+
model_dtype:
|
| 86 |
+
value: bfloat16
|
| 87 |
+
model_path:
|
| 88 |
+
value: /mloscratch/homes/navasard/qwen3_06b_base
|
| 89 |
+
num_epochs:
|
| 90 |
+
value: 1
|
| 91 |
+
num_workers:
|
| 92 |
+
value: 8
|
| 93 |
+
output_dir:
|
| 94 |
+
value: ./checkpoints/run_20260511_191723
|
| 95 |
+
per_device_batch_size:
|
| 96 |
+
value: 3
|
| 97 |
+
resume_from_checkpoint:
|
| 98 |
+
value: null
|
| 99 |
+
save_steps:
|
| 100 |
+
value: 1000
|
| 101 |
+
seed:
|
| 102 |
+
value: 42
|
| 103 |
+
sparse_block_size:
|
| 104 |
+
value: 128
|
| 105 |
+
sparse_layer_indices:
|
| 106 |
+
value: null
|
| 107 |
+
sparse_mask_pool_size:
|
| 108 |
+
value: 2000
|
| 109 |
+
sparse_num_random_blocks:
|
| 110 |
+
value: 31
|
| 111 |
+
sparse_val_dense_compare:
|
| 112 |
+
value: false
|
| 113 |
+
strategy:
|
| 114 |
+
value: ddp
|
| 115 |
+
train_path:
|
| 116 |
+
value: /mloscratch/homes/navasard/data/fineweb/tokenized
|
| 117 |
+
val_path:
|
| 118 |
+
value: null
|
| 119 |
+
verbose:
|
| 120 |
+
value: true
|
| 121 |
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wandb_enabled:
|
| 122 |
+
value: true
|
| 123 |
+
wandb_name:
|
| 124 |
+
value: null
|
| 125 |
+
wandb_project:
|
| 126 |
+
value: stochastic_sparsity
|
| 127 |
+
wandb_tags:
|
| 128 |
+
value:
|
| 129 |
+
- qwen3
|
| 130 |
+
- 0.6b
|
| 131 |
+
warmup_steps:
|
| 132 |
+
value: 250
|
| 133 |
+
weight_decay:
|
| 134 |
+
value: 0.01
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/files/output.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/files/requirements.txt
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pytz==2026.2
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.7.0
|
| 8 |
+
tzdata==2026.2
|
| 9 |
+
typing_extensions==4.15.0
|
| 10 |
+
triton==3.6.0
|
| 11 |
+
tqdm==4.67.3
|
| 12 |
+
torchinfo==1.8.0
|
| 13 |
+
sympy==1.14.0
|
| 14 |
+
smmap==5.0.3
|
| 15 |
+
six==1.17.0
|
| 16 |
+
shellingham==1.5.4
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.5.9
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.5.2
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
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nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.2.6
|
| 38 |
+
networkx==3.4.2
|
| 39 |
+
mdurl==0.1.2
|
| 40 |
+
MarkupSafe==3.0.3
|
| 41 |
+
idna==3.14
|
| 42 |
+
hf-xet==1.5.0
|
| 43 |
+
h11==0.16.0
|
| 44 |
+
fsspec==2026.2.0
|
| 45 |
+
frozenlist==1.8.0
|
| 46 |
+
filelock==3.29.0
|
| 47 |
+
dill==0.4.1
|
| 48 |
+
cuda-pathfinder==1.5.4
|
| 49 |
+
click==8.3.3
|
| 50 |
+
charset-normalizer==3.4.7
|
| 51 |
+
certifi==2026.4.22
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
async-timeout==5.0.1
|
| 54 |
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annotated-types==0.7.0
|
| 55 |
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annotated-doc==0.0.4
|
| 56 |
+
aiohappyeyeballs==2.6.1
|
| 57 |
+
typing-inspection==0.4.2
|
| 58 |
+
sentry-sdk==2.59.0
|
| 59 |
+
requests==2.33.1
|
| 60 |
+
python-dateutil==2.9.0.post0
|
| 61 |
+
pydantic_core==2.46.4
|
| 62 |
+
nvidia-cusparse==12.6.3.3
|
| 63 |
+
nvidia-cufft==12.0.0.61
|
| 64 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 65 |
+
multiprocess==0.70.19
|
| 66 |
+
multidict==6.7.1
|
| 67 |
+
markdown-it-py==4.2.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
+
httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
exceptiongroup==1.3.1
|
| 72 |
+
cuda-bindings==13.2.0
|
| 73 |
+
aiosignal==1.4.0
|
| 74 |
+
yarl==1.23.0
|
| 75 |
+
rich==15.0.0
|
| 76 |
+
pydantic==2.13.4
|
| 77 |
+
pandas==2.3.3
|
| 78 |
+
nvidia-cusolver==12.0.4.66
|
| 79 |
+
GitPython==3.1.50
|
| 80 |
+
anyio==4.13.0
|
| 81 |
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wandb==0.26.1
|
| 82 |
+
typer==0.25.1
|
| 83 |
+
httpx==0.28.1
|
| 84 |
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aiohttp==3.13.5
|
| 85 |
+
torch==2.11.0
|
| 86 |
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huggingface_hub==1.14.0
|
| 87 |
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tokenizers==0.22.2
|
| 88 |
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datasets==4.8.5
|
| 89 |
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accelerate==1.13.0
|
| 90 |
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transformers==5.8.0
|
| 91 |
+
PyGObject==3.42.1
|
| 92 |
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dbus-python==1.2.18
|
| 93 |
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distro==1.7.0
|
| 94 |
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pip==22.0.2
|
| 95 |
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setuptools==59.6.0
|
| 96 |
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ssh-import-id==5.11
|
| 97 |
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wheel==0.37.1
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,36 @@
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| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-59-generic-x86_64-with-glibc2.35",
|
| 3 |
+
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|
| 4 |
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|
| 5 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 6 |
+
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|
| 7 |
+
"codePathLocal": "SparseAtt/train.py",
|
| 8 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 9 |
+
"root": "/mloscratch/homes/navasard/sparse",
|
| 10 |
+
"host": "h100-train-14-0-2",
|
| 11 |
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|
| 12 |
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|
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|
| 14 |
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"gpu": "NVIDIA H100 80GB HBM3",
|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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| 20 |
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|
| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
+
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|
| 25 |
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"gpu_nvidia": [
|
| 26 |
+
{
|
| 27 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 28 |
+
"memoryTotal": "85520809984",
|
| 29 |
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"cudaCores": 16896,
|
| 30 |
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"architecture": "Hopper",
|
| 31 |
+
"uuid": "GPU-b52a5d1a-9d9a-90fe-c3b3-708dcea4146f"
|
| 32 |
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}
|
| 33 |
+
],
|
| 34 |
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"cudaVersion": "13.0",
|
| 35 |
+
"writerId": "manc65tdg7e8jcg1vmj5aijxqj7zabic"
|
| 36 |
+
}
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
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|
| 1 |
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{"_runtime":71008.183699807,"eval/loss":2.921919618397951,"speed/ms_per_step":2801.911187171936,"_timestamp":1.7786017523139584e+09,"speed/samples_per_sec":8.565581989136499,"train/loss":2.907009869813919,"_wandb":{"runtime":71008},"train/epoch":0.4716981132075472,"train/global_step":20000,"train/learning_rate":7.903067225645266e-11,"eval/perplexity":18.576913839863586,"_step":20000,"speed/steps_per_sec":0.3568992495473541}
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/logs/debug-internal.log
ADDED
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The diff for this file is too large to render.
See raw diff
|
|
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/logs/debug.log
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
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2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_setup.py:_flush():81] Configure stats pid to 122624
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2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_setup.py:_flush():81] Loading settings from environment variables
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| 4 |
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2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/wandb/run-20260511_201933-jzi5hfrk/logs/debug.log
|
| 5 |
+
2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/wandb/run-20260511_201933-jzi5hfrk/logs/debug-internal.log
|
| 6 |
+
2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_init.py:init():850] calling init triggers
|
| 7 |
+
2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
|
| 8 |
+
config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': './checkpoints/run_20260511_191723', 'resume_from_checkpoint': None, 'num_epochs': 1, 'max_steps': 20005, 'per_device_batch_size': 3, 'gradient_accumulation_steps': 8, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 250, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 200, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': None, 'wandb_tags': ['qwen3', '0.6b'], 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 2000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, '_wandb': {}}
|
| 9 |
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2026-05-11 20:19:33,072 INFO MainThread:122624 [wandb_init.py:init():898] starting backend
|
| 10 |
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2026-05-11 20:19:33,296 INFO MainThread:122624 [wandb_init.py:init():913] sending inform_init request
|
| 11 |
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2026-05-11 20:19:33,600 INFO MainThread:122624 [wandb_init.py:init():918] backend started and connected
|
| 12 |
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2026-05-11 20:19:33,602 INFO MainThread:122624 [wandb_init.py:init():988] updated telemetry
|
| 13 |
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2026-05-11 20:19:33,603 INFO MainThread:122624 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
|
| 14 |
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2026-05-11 20:19:34,161 INFO MainThread:122624 [wandb_init.py:init():1056] starting run threads in backend
|
| 15 |
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2026-05-11 20:19:34,263 INFO MainThread:122624 [wandb_run.py:_console_start():2554] atexit reg
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| 16 |
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2026-05-11 20:19:34,263 INFO MainThread:122624 [wandb_run.py:_redirect():2403] redirect: wrap_raw
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2026-05-11 20:19:34,263 INFO MainThread:122624 [wandb_run.py:_redirect():2472] Wrapping output streams.
|
| 18 |
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2026-05-11 20:19:34,263 INFO MainThread:122624 [wandb_run.py:_redirect():2495] Redirects installed.
|
| 19 |
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2026-05-11 20:19:34,265 INFO MainThread:122624 [wandb_init.py:init():1094] run started, returning control to user process
|
| 20 |
+
2026-05-12 16:03:02,339 INFO MainThread:122624 [wandb_run.py:_finish():2321] finishing run ruben-navasardyan4869-epfl/stochastic_sparsity/jzi5hfrk
|
| 21 |
+
2026-05-12 16:03:02,342 INFO MainThread:122624 [wandb_run.py:_atexit_cleanup():2520] got exitcode: 0
|
| 22 |
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2026-05-12 16:03:02,344 INFO MainThread:122624 [wandb_run.py:_restore():2502] restore
|
| 23 |
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2026-05-12 16:03:02,344 INFO MainThread:122624 [wandb_run.py:_restore():2508] restore done
|
| 24 |
+
2026-05-12 16:03:31,851 INFO MainThread:122624 [wandb_run.py:_footer_sync_info():3889] logging synced files
|
epfl_final/wandb/run-20260511_201933-jzi5hfrk/run-jzi5hfrk.wandb
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:53a26149f3d8111012d2c0f0610812439d2ad6b887683dbbd7d449dc8c9a2f69
|
| 3 |
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size 11445166
|
epfl_final/wandb/run-20260511_215604-377k1je4/files/output.log
ADDED
|
@@ -0,0 +1,147 @@
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|
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|
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|
|
|
|
| 1 |
+
|
| 2 |
+
|
| 3 |
+
================================================================================
|
| 4 |
+
MODEL ARCHITECTURE
|
| 5 |
+
================================================================================
|
| 6 |
+
Model config:
|
| 7 |
+
vocab_size: 151936
|
| 8 |
+
hidden_size: 1024
|
| 9 |
+
num_hidden_layers: 28
|
| 10 |
+
num_attention_heads: 16
|
| 11 |
+
num_key_value_heads: 8
|
| 12 |
+
head_dim: 128
|
| 13 |
+
intermediate_size: 3072
|
| 14 |
+
max_position_embeddings: 32768
|
| 15 |
+
rope_theta: 1000000
|
| 16 |
+
attention_type: sparse_stochastic
|
| 17 |
+
sparse_block_size: 128
|
| 18 |
+
sparse_num_random_blocks: 31
|
| 19 |
+
sparse_mask_pool_size: 10000
|
| 20 |
+
sparse_max_seq_length: 8192
|
| 21 |
+
|
| 22 |
+
Parameter count:
|
| 23 |
+
Total parameters: 596,049,920
|
| 24 |
+
Trainable parameters: 596,049,920
|
| 25 |
+
Non-trainable parameters: 0
|
| 26 |
+
Model size (BF16): 1.19 GB
|
| 27 |
+
|
| 28 |
+
--------------------------------------------------------------------------------
|
| 29 |
+
LAYER-BY-LAYER SUMMARY
|
| 30 |
+
--------------------------------------------------------------------------------
|
| 31 |
+
/home/navasard/.local/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py:1704: UserWarning: flex_attention called without torch.compile() - this will use an unfused implementation that materializes the full scores matrix instead of generating a fused kernel.
|
| 32 |
+
|
| 33 |
+
SOLUTION: Use torch.compile(flex_attention)(...)
|
| 34 |
+
|
| 35 |
+
If you want to debug your score_mod/mask_mod, you can set:
|
| 36 |
+
torch.nn.attention.flex_attention._FLEX_ATTENTION_DISABLE_COMPILE_DEBUG = True
|
| 37 |
+
|
| 38 |
+
This will allow you to use print statements or breakpoints. Note: This doesn't work with the backwards pass and may produce incorrect results.
|
| 39 |
+
_warn_once(
|
| 40 |
+
Could not generate detailed summary: Failed to run torchinfo. See above stack traces for more details. Executed layers up to: [Embedding: 2, Qwen3RMSNorm: 4, Linear: 5, Linear: 5, Linear: 5, Qwen3RMSNorm: 5, Qwen3RMSNorm: 5, Qwen3RotaryEmbedding: 5]
|
| 41 |
+
================================================================================
|
| 42 |
+
|
| 43 |
+
Loading dataset from /mloscratch/homes/navasard/data/fineweb/tokenized...
|
| 44 |
+
Using pre-tokenized dataset (no runtime tokenization)
|
| 45 |
+
Loading pre-tokenized HF dataset from /mloscratch/homes/navasard/data/fineweb/tokenized...
|
| 46 |
+
Loaded 5088012 pre-tokenized examples (stored_len=2048, pack_factor=4, packed_examples=1272003)
|
| 47 |
+
Dataset split: 1017602 train, 254401 validation
|
| 48 |
+
Training examples (packed, train split): 1017602
|
| 49 |
+
Validation examples (packed, val split): 254401
|
| 50 |
+
Per-device batch size: 3
|
| 51 |
+
World size (GPUs): 1
|
| 52 |
+
Gradient accumulation steps: 8
|
| 53 |
+
Effective batch size (seqs/step): 24
|
| 54 |
+
Sequence length: 8192
|
| 55 |
+
Tokens per optimizer step: 196,608
|
| 56 |
+
Micro-batches per epoch (per rank): 339200
|
| 57 |
+
Optimizer steps per epoch: 42400
|
| 58 |
+
Total optimizer steps: 20005 (capped by max_steps; 0.47 epochs)
|
| 59 |
+
Starting training...
|
| 60 |
+
Traceback (most recent call last):
|
| 61 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1088, in <module>
|
| 62 |
+
main()
|
| 63 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1084, in main
|
| 64 |
+
train(config)
|
| 65 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 933, in train
|
| 66 |
+
outputs = model(
|
| 67 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 472, in __call__
|
| 68 |
+
return super().__call__(*args, **kwargs)
|
| 69 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 70 |
+
return self._call_impl(*args, **kwargs)
|
| 71 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 72 |
+
return forward_call(*args, **kwargs)
|
| 73 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1024, in compile_wrapper
|
| 74 |
+
return fn(*args, **kwargs)
|
| 75 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 76 |
+
return self._call_impl(*args, **kwargs)
|
| 77 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 78 |
+
return forward_call(*args, **kwargs)
|
| 79 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 272, in forward
|
| 80 |
+
hidden_states, next_cache, all_hidden_states, all_attentions = self.model(
|
| 81 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 82 |
+
return self._call_impl(*args, **kwargs)
|
| 83 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 84 |
+
return forward_call(*args, **kwargs)
|
| 85 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 140, in forward
|
| 86 |
+
if has_any_sparse and (attention_mask == 0).any():
|
| 87 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 176, in torch_dynamo_resume_in_forward_at_140
|
| 88 |
+
hidden_states, attn_weights, present_key_value = decoder_layer(
|
| 89 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 90 |
+
return self._call_impl(*args, **kwargs)
|
| 91 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 92 |
+
return forward_call(*args, **kwargs)
|
| 93 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 83, in forward
|
| 94 |
+
hidden_states, attn_weights, present_key_value = self.self_attn(**attn_kwargs)
|
| 95 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 96 |
+
return self._call_impl(*args, **kwargs)
|
| 97 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 98 |
+
return forward_call(*args, **kwargs)
|
| 99 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/sparse_attention.py", line 242, in forward
|
| 100 |
+
attn_output = self._flex_attention(
|
| 101 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py", line 1627, in flex_attention
|
| 102 |
+
raise RuntimeError(
|
| 103 |
+
RuntimeError: Expect q/k/v and block_mask to be on the same device but got cuda:0 and cpu.
|
| 104 |
+
Traceback (most recent call last):
|
| 105 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1088, in <module>
|
| 106 |
+
main()
|
| 107 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 1084, in main
|
| 108 |
+
train(config)
|
| 109 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/train.py", line 933, in train
|
| 110 |
+
outputs = model(
|
| 111 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 472, in __call__
|
| 112 |
+
return super().__call__(*args, **kwargs)
|
| 113 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 114 |
+
return self._call_impl(*args, **kwargs)
|
| 115 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 116 |
+
return forward_call(*args, **kwargs)
|
| 117 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1024, in compile_wrapper
|
| 118 |
+
return fn(*args, **kwargs)
|
| 119 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 120 |
+
return self._call_impl(*args, **kwargs)
|
| 121 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 122 |
+
return forward_call(*args, **kwargs)
|
| 123 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 272, in forward
|
| 124 |
+
hidden_states, next_cache, all_hidden_states, all_attentions = self.model(
|
| 125 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 126 |
+
return self._call_impl(*args, **kwargs)
|
| 127 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 128 |
+
return forward_call(*args, **kwargs)
|
| 129 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 140, in forward
|
| 130 |
+
if has_any_sparse and (attention_mask == 0).any():
|
| 131 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 176, in torch_dynamo_resume_in_forward_at_140
|
| 132 |
+
hidden_states, attn_weights, present_key_value = decoder_layer(
|
| 133 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 134 |
+
return self._call_impl(*args, **kwargs)
|
| 135 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 136 |
+
return forward_call(*args, **kwargs)
|
| 137 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/model.py", line 83, in forward
|
| 138 |
+
hidden_states, attn_weights, present_key_value = self.self_attn(**attn_kwargs)
|
| 139 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1779, in _wrapped_call_impl
|
| 140 |
+
return self._call_impl(*args, **kwargs)
|
| 141 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1790, in _call_impl
|
| 142 |
+
return forward_call(*args, **kwargs)
|
| 143 |
+
File "/mloscratch/homes/navasard/sparse/SparseAtt/sparse_attention.py", line 242, in forward
|
| 144 |
+
attn_output = self._flex_attention(
|
| 145 |
+
File "/home/navasard/.local/lib/python3.10/site-packages/torch/nn/attention/flex_attention.py", line 1627, in flex_attention
|
| 146 |
+
raise RuntimeError(
|
| 147 |
+
RuntimeError: Expect q/k/v and block_mask to be on the same device but got cuda:0 and cpu.
|
epfl_final/wandb/run-20260511_215604-377k1je4/files/requirements.txt
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pytz==2026.2
|
| 2 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 3 |
+
mpmath==1.3.0
|
| 4 |
+
cuda-toolkit==13.0.2
|
| 5 |
+
zstandard==0.25.0
|
| 6 |
+
xxhash==3.7.0
|
| 7 |
+
urllib3==2.7.0
|
| 8 |
+
tzdata==2026.2
|
| 9 |
+
typing_extensions==4.15.0
|
| 10 |
+
triton==3.6.0
|
| 11 |
+
tqdm==4.67.3
|
| 12 |
+
torchinfo==1.8.0
|
| 13 |
+
sympy==1.14.0
|
| 14 |
+
smmap==5.0.3
|
| 15 |
+
six==1.17.0
|
| 16 |
+
shellingham==1.5.4
|
| 17 |
+
safetensors==0.7.0
|
| 18 |
+
regex==2026.5.9
|
| 19 |
+
PyYAML==6.0.3
|
| 20 |
+
Pygments==2.20.0
|
| 21 |
+
pyarrow==24.0.0
|
| 22 |
+
psutil==7.2.2
|
| 23 |
+
protobuf==7.34.1
|
| 24 |
+
propcache==0.5.2
|
| 25 |
+
platformdirs==4.9.6
|
| 26 |
+
packaging==26.2
|
| 27 |
+
nvidia-nvtx==13.0.85
|
| 28 |
+
nvidia-nvshmem-cu13==3.4.5
|
| 29 |
+
nvidia-nvjitlink==13.0.88
|
| 30 |
+
nvidia-nccl-cu13==2.28.9
|
| 31 |
+
nvidia-curand==10.4.0.35
|
| 32 |
+
nvidia-cufile==1.15.1.6
|
| 33 |
+
nvidia-cuda-runtime==13.0.96
|
| 34 |
+
nvidia-cuda-nvrtc==13.0.88
|
| 35 |
+
nvidia-cuda-cupti==13.0.85
|
| 36 |
+
nvidia-cublas==13.1.0.3
|
| 37 |
+
numpy==2.2.6
|
| 38 |
+
networkx==3.4.2
|
| 39 |
+
mdurl==0.1.2
|
| 40 |
+
MarkupSafe==3.0.3
|
| 41 |
+
idna==3.14
|
| 42 |
+
hf-xet==1.5.0
|
| 43 |
+
h11==0.16.0
|
| 44 |
+
fsspec==2026.2.0
|
| 45 |
+
frozenlist==1.8.0
|
| 46 |
+
filelock==3.29.0
|
| 47 |
+
dill==0.4.1
|
| 48 |
+
cuda-pathfinder==1.5.4
|
| 49 |
+
click==8.3.3
|
| 50 |
+
charset-normalizer==3.4.7
|
| 51 |
+
certifi==2026.4.22
|
| 52 |
+
attrs==26.1.0
|
| 53 |
+
async-timeout==5.0.1
|
| 54 |
+
annotated-types==0.7.0
|
| 55 |
+
annotated-doc==0.0.4
|
| 56 |
+
aiohappyeyeballs==2.6.1
|
| 57 |
+
typing-inspection==0.4.2
|
| 58 |
+
sentry-sdk==2.59.0
|
| 59 |
+
requests==2.34.0
|
| 60 |
+
python-dateutil==2.9.0.post0
|
| 61 |
+
pydantic_core==2.46.4
|
| 62 |
+
nvidia-cusparse==12.6.3.3
|
| 63 |
+
nvidia-cufft==12.0.0.61
|
| 64 |
+
nvidia-cudnn-cu13==9.19.0.56
|
| 65 |
+
multiprocess==0.70.19
|
| 66 |
+
multidict==6.7.1
|
| 67 |
+
markdown-it-py==4.2.0
|
| 68 |
+
Jinja2==3.1.6
|
| 69 |
+
httpcore==1.0.9
|
| 70 |
+
gitdb==4.0.12
|
| 71 |
+
exceptiongroup==1.3.1
|
| 72 |
+
cuda-bindings==13.2.0
|
| 73 |
+
aiosignal==1.4.0
|
| 74 |
+
yarl==1.23.0
|
| 75 |
+
rich==15.0.0
|
| 76 |
+
pydantic==2.13.4
|
| 77 |
+
pandas==2.3.3
|
| 78 |
+
nvidia-cusolver==12.0.4.66
|
| 79 |
+
GitPython==3.1.50
|
| 80 |
+
anyio==4.13.0
|
| 81 |
+
wandb==0.26.1
|
| 82 |
+
typer==0.25.1
|
| 83 |
+
httpx==0.28.1
|
| 84 |
+
aiohttp==3.13.5
|
| 85 |
+
torch==2.11.0
|
| 86 |
+
huggingface_hub==1.14.0
|
| 87 |
+
tokenizers==0.22.2
|
| 88 |
+
datasets==4.8.5
|
| 89 |
+
accelerate==1.13.0
|
| 90 |
+
transformers==5.8.0
|
| 91 |
+
PyGObject==3.42.1
|
| 92 |
+
dbus-python==1.2.18
|
| 93 |
+
distro==1.7.0
|
| 94 |
+
pip==22.0.2
|
| 95 |
+
setuptools==59.6.0
|
| 96 |
+
ssh-import-id==5.11
|
| 97 |
+
wheel==0.37.1
|
epfl_final/wandb/run-20260511_215604-377k1je4/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-59-generic-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.12",
|
| 4 |
+
"startedAt": "2026-05-11T21:56:04.033845Z",
|
| 5 |
+
"program": "/mloscratch/homes/navasard/sparse/SparseAtt/train.py",
|
| 6 |
+
"codePath": "SparseAtt/train.py",
|
| 7 |
+
"codePathLocal": "SparseAtt/train.py",
|
| 8 |
+
"email": "ruben.navasardyan@mail.utoronto.ca",
|
| 9 |
+
"root": "/mloscratch/homes/navasard/sparse",
|
| 10 |
+
"host": "h100-train-13-0-5",
|
| 11 |
+
"executable": "/usr/bin/python3",
|
| 12 |
+
"cpu_count": 96,
|
| 13 |
+
"cpu_count_logical": 192,
|
| 14 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 15 |
+
"gpu_count": 1,
|
| 16 |
+
"disk": {
|
| 17 |
+
"/": {
|
| 18 |
+
"total": "9374931091456",
|
| 19 |
+
"used": "7086919069696"
|
| 20 |
+
}
|
| 21 |
+
},
|
| 22 |
+
"memory": {
|
| 23 |
+
"total": "1623005741056"
|
| 24 |
+
},
|
| 25 |
+
"gpu_nvidia": [
|
| 26 |
+
{
|
| 27 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 28 |
+
"memoryTotal": "85520809984",
|
| 29 |
+
"cudaCores": 16896,
|
| 30 |
+
"architecture": "Hopper",
|
| 31 |
+
"uuid": "GPU-5cb9f8b7-4a13-4f85-d73e-6bcbebebefb8"
|
| 32 |
+
}
|
| 33 |
+
],
|
| 34 |
+
"cudaVersion": "13.0",
|
| 35 |
+
"writerId": "jhi8chi0zzs19xazmkzvwdnmzvij10cx"
|
| 36 |
+
}
|
epfl_final/wandb/run-20260511_215604-377k1je4/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"_wandb":{"runtime":53},"_runtime":53}
|
epfl_final/wandb/run-20260511_215604-377k1je4/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"time":"2026-05-11T21:56:04.277523168Z","level":"INFO","msg":"wandb-core"}
|
| 2 |
+
{"time":"2026-05-11T21:56:04.281373639Z","level":"INFO","msg":"stream: starting","core version":"0.26.1"}
|
| 3 |
+
{"time":"2026-05-11T21:56:04.56718457Z","level":"INFO","msg":"stream: created new stream","id":"377k1je4"}
|
| 4 |
+
{"time":"2026-05-11T21:56:04.567296076Z","level":"INFO","msg":"handler: started"}
|
| 5 |
+
{"time":"2026-05-11T21:56:04.569072349Z","level":"INFO","msg":"stream: started"}
|
| 6 |
+
{"time":"2026-05-11T21:56:04.569117637Z","level":"INFO","msg":"sender: started"}
|
| 7 |
+
{"time":"2026-05-11T21:56:04.569113741Z","level":"INFO","msg":"writer: started","stream_id":"377k1je4"}
|
| 8 |
+
{"time":"2026-05-11T21:56:05.067839559Z","level":"INFO","msg":"filestream: sending request","total_files":1,"console_offset":0,"console_lines":6}
|
| 9 |
+
{"time":"2026-05-11T21:56:05.319212254Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 10 |
+
{"time":"2026-05-11T21:56:20.068463306Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":0,"events_lines":1,"console_offset":5,"console_lines":142,"uploaded_len":2}
|
| 11 |
+
{"time":"2026-05-11T21:56:20.391145065Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 12 |
+
{"time":"2026-05-11T21:56:35.067996566Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":1,"events_lines":2}
|
| 13 |
+
{"time":"2026-05-11T21:56:35.325165889Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 14 |
+
{"time":"2026-05-11T21:56:50.068214759Z","level":"INFO","msg":"filestream: sending request","total_files":1,"events_offset":3,"events_lines":2}
|
| 15 |
+
{"time":"2026-05-11T21:56:50.285565181Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 16 |
+
{"time":"2026-05-11T21:56:59.407169468Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 17 |
+
{"time":"2026-05-11T21:56:59.407293192Z","level":"INFO","msg":"filestream: sending request","total_files":2,"events_offset":5,"events_lines":1,"uploaded_len":3,"complete":true,"exit_code":1}
|
| 18 |
+
{"time":"2026-05-11T21:56:59.862340795Z","level":"INFO","msg":"filestream: request sent","status":"200 OK"}
|
| 19 |
+
{"time":"2026-05-11T21:56:59.862507764Z","level":"INFO","msg":"stream: finishing up"}
|
| 20 |
+
{"time":"2026-05-11T21:56:59.862520874Z","level":"INFO","msg":"handler: closed"}
|
| 21 |
+
{"time":"2026-05-11T21:56:59.86397766Z","level":"INFO","msg":"sender: closed"}
|
| 22 |
+
{"time":"2026-05-11T21:56:59.863988616Z","level":"INFO","msg":"stream: all finished"}
|
epfl_final/wandb/run-20260511_215604-377k1je4/logs/debug.log
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2026-05-11 21:56:04,050 INFO MainThread:6961 [wandb_setup.py:_flush():81] Current SDK version is 0.26.1
|
| 2 |
+
2026-05-11 21:56:04,050 INFO MainThread:6961 [wandb_setup.py:_flush():81] Configure stats pid to 6961
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2026-05-11 21:56:04,051 INFO MainThread:6961 [wandb_setup.py:_flush():81] Loading settings from environment variables
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2026-05-11 21:56:04,051 INFO MainThread:6961 [wandb_init.py:setup_run_log_directory():723] Logging user logs to /mloscratch/homes/navasard/sparse/wandb/run-20260511_215604-377k1je4/logs/debug.log
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2026-05-11 21:56:04,052 INFO MainThread:6961 [wandb_init.py:setup_run_log_directory():724] Logging internal logs to /mloscratch/homes/navasard/sparse/wandb/run-20260511_215604-377k1je4/logs/debug-internal.log
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2026-05-11 21:56:04,053 INFO MainThread:6961 [wandb_init.py:init():850] calling init triggers
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2026-05-11 21:56:04,053 INFO MainThread:6961 [wandb_init.py:init():855] wandb.init called with sweep_config: {}
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config: {'model_path': '/mloscratch/homes/navasard/qwen3_06b_base', 'model_dtype': 'bfloat16', 'init_from_scratch': True, 'train_path': '/mloscratch/homes/navasard/data/fineweb/tokenized', 'val_path': None, 'max_seq_length': 8192, 'num_workers': 8, 'output_dir': './checkpoints/run_20260511_215307', 'resume_from_checkpoint': None, 'num_epochs': 1, 'max_steps': 20005, 'per_device_batch_size': 3, 'gradient_accumulation_steps': 8, 'learning_rate': 0.0005, 'weight_decay': 0.01, 'warmup_steps': 250, 'lr_scheduler': 'cosine', 'max_grad_norm': 1.0, 'save_steps': 1000, 'eval_steps': 250, 'eval_batches': 200, 'logging_steps': 10, 'seed': 42, 'verbose': True, 'checkpoint_activations': False, 'strategy': 'ddp', 'mixed_precision': 'bf16', 'wandb_enabled': True, 'wandb_project': 'stochastic_sparsity', 'wandb_name': None, 'wandb_tags': ['qwen3', '0.6b'], 'attention_type': 'sparse_stochastic', 'sparse_block_size': 128, 'sparse_num_random_blocks': 31, 'sparse_mask_pool_size': 10000, 'sparse_val_dense_compare': False, 'sparse_layer_indices': None, 'sparse_mask_cache_dir': '/mloscratch/homes/navasard/sparse/mask_cache', '_wandb': {}}
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2026-05-11 21:56:04,054 INFO MainThread:6961 [wandb_init.py:init():898] starting backend
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2026-05-11 21:56:04,270 INFO MainThread:6961 [wandb_init.py:init():913] sending inform_init request
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2026-05-11 21:56:04,569 INFO MainThread:6961 [wandb_init.py:init():918] backend started and connected
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2026-05-11 21:56:04,571 INFO MainThread:6961 [wandb_init.py:init():988] updated telemetry
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2026-05-11 21:56:04,571 INFO MainThread:6961 [wandb_init.py:init():1011] communicating run to backend with 90.0 second timeout
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2026-05-11 21:56:05,000 INFO MainThread:6961 [wandb_init.py:init():1056] starting run threads in backend
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2026-05-11 21:56:05,053 INFO MainThread:6961 [wandb_run.py:_console_start():2554] atexit reg
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2026-05-11 21:56:05,054 INFO MainThread:6961 [wandb_run.py:_redirect():2403] redirect: wrap_raw
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2026-05-11 21:56:05,054 INFO MainThread:6961 [wandb_run.py:_redirect():2472] Wrapping output streams.
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2026-05-11 21:56:05,054 INFO MainThread:6961 [wandb_run.py:_redirect():2495] Redirects installed.
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2026-05-11 21:56:05,056 INFO MainThread:6961 [wandb_init.py:init():1094] run started, returning control to user process
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2026-05-11 21:56:58,920 INFO wandb-AsyncioManager-main:6961 [service_client.py:_forward_responses():134] Reached EOF.
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2026-05-11 21:56:58,921 INFO wandb-AsyncioManager-main:6961 [mailbox.py:close():155] Closing mailbox, abandoning 1 handles.
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