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Browse files- training/q3_1p7b_sft_shuffled/manifests/rank_0.jsonl +0 -0
- training/q3_1p7b_sft_shuffled/manifests/rank_1.jsonl +0 -0
- training/q3_1p7b_sft_shuffled/manifests/rank_2.jsonl +0 -0
- training/q3_1p7b_sft_shuffled/manifests/rank_3.jsonl +0 -0
- training/q3_1p7b_sft_shuffled/metrics/train_metrics.jsonl +102 -0
- training/q3_1p7b_sft_shuffled/offline_wandb_ready.json +9 -0
- training/q3_1p7b_sft_shuffled/provenance.json +27 -0
- training/q3_1p7b_sft_shuffled/sft_config.json +56 -0
- training/q3_1p7b_sft_shuffled/training_complete.json +11 -0
- training/q3_1p7b_sft_shuffled/wandb/offline-run-20260925_071649-7y8jx2s3/files/requirements.txt +266 -0
- training/q3_1p7b_sft_shuffled/wandb/run-20260925_060938-ade2qena/files/requirements.txt +266 -0
- training/q3_1p7b_sft_shuffled/wandb/run-20260925_060938-ade2qena/files/wandb-metadata.json +112 -0
- training/q3_1p7b_sft_shuffled/wandb_run_id_generation_1.txt +1 -0
- training/q3_1p7b_sft_shuffled/wandb_run_id_generation_2.txt +1 -0
- training/q3_1p7b_sft_shuffled/wandb_run_id_generation_3.txt +1 -0
- training/q3_1p7b_sft_shuffled/wandb_segments/generation_1.json +8 -0
- training/q3_1p7b_sft_shuffled/wandb_segments/generation_2.json +8 -0
- training/q3_1p7b_sft_shuffled/wandb_segments/generation_3.json +8 -0
training/q3_1p7b_sft_shuffled/manifests/rank_0.jsonl
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training/q3_1p7b_sft_shuffled/manifests/rank_1.jsonl
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training/q3_1p7b_sft_shuffled/manifests/rank_2.jsonl
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training/q3_1p7b_sft_shuffled/manifests/rank_3.jsonl
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training/q3_1p7b_sft_shuffled/metrics/train_metrics.jsonl
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| 22 |
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| 102 |
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{"global_step": 102, "epoch": 0, "batch_id": 6481, "num_supervised_tokens": 10574, "learning_rate": 1e-05, "batch_loss": 0.2563313147814457, "token_entropy": 0.3039479456801078, "gradient_norm_pre_clip": 1.5617508157023872, "gradient_norm_post_clip": 1.5617508157023872, "cuda_current_allocated_gib": 25.70121479034424, "cuda_current_reserved_gib": 42.712890625, "cuda_peak_allocated_gib": 38.52049732208252, "cuda_peak_reserved_gib": 42.712890625, "max_sequence_length": 768.0, "parameter_l2_norm": 2564.8653875256623, "parameter_l2_from_init": 6.107013460842562, "relative_parameter_l2_from_init": 0.0023810025495274675, "update_norm": 0.16154742015296286, "relative_update_norm": 6.298475582330986e-05}
|
training/q3_1p7b_sft_shuffled/offline_wandb_ready.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"generation": 3,
|
| 3 |
+
"offline_dir": "wandb/offline-run-20260925_071649-7y8jx2s3",
|
| 4 |
+
"run_file": "wandb/offline-run-20260925_071649-7y8jx2s3/run-7y8jx2s3.wandb",
|
| 5 |
+
"run_file_bytes": 998745,
|
| 6 |
+
"schema_version": 1,
|
| 7 |
+
"status": "offline_wandb_ready_for_sync",
|
| 8 |
+
"wandb_run_id": "7y8jx2s3"
|
| 9 |
+
}
|
training/q3_1p7b_sft_shuffled/provenance.json
ADDED
|
@@ -0,0 +1,27 @@
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base_model": "/mnt/mystorageoutput/projects/rl-forgetting/base_models/Qwen3-1.7B-Base-ea980cb0",
|
| 3 |
+
"dataset": "qwen3_1p7b_s500_code_sft_data",
|
| 4 |
+
"dataset_sha256": "08974359f21d570e60fe801ee98c139f5bd943d0c8411ec03bec40b4ca2a96a6",
|
| 5 |
+
"durable_jsonl_sha256": "757270437abe9b280a7104cb5b13223f32d782444e42bda77e5907c4c1b5d7e5",
|
| 6 |
+
"effective_batch_size": 256,
|
| 7 |
+
"max_seq_length": 4096,
|
| 8 |
+
"metrics_log_every": 10,
|
| 9 |
+
"micro_batch_size": 1,
|
| 10 |
+
"model_name": "qwen3_1p7b_s500",
|
| 11 |
+
"num_checkpoints": 10,
|
| 12 |
+
"offline_wandb_sync_required": true,
|
| 13 |
+
"order": "shuffled",
|
| 14 |
+
"replay_lambda": 0.0,
|
| 15 |
+
"replay_strategy": "none",
|
| 16 |
+
"resume_generation": 3,
|
| 17 |
+
"resume_helper_sha256": "7aa836fe797652a772a8f0b22724f3ec9a20bd3ed7b834e9d4b3e1756e125d68",
|
| 18 |
+
"resume_step": 51,
|
| 19 |
+
"run_sft_sha256": "f4ee1ff82e7da742db079178b8d3695d2142f1db42096b0f1dcb5d837baea263",
|
| 20 |
+
"run_sweep_sha256": "8713a47d266379e301de2f2b6f20517954cecb10184611cfd9577f8fcbc429dd",
|
| 21 |
+
"save_optimizer_every_n_checkpoints": 5,
|
| 22 |
+
"save_optimizer_first_checkpoint": true,
|
| 23 |
+
"schema_version": 1,
|
| 24 |
+
"wandb_mode": "offline",
|
| 25 |
+
"wandb_run_id_file": "/mnt/mystorageoutput/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925/wandb_run_id_generation_3.txt",
|
| 26 |
+
"world_size": 4
|
| 27 |
+
}
|
training/q3_1p7b_sft_shuffled/sft_config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
{
|
| 2 |
+
"generation_logs_dir": null,
|
| 3 |
+
"dataset": "qwen3_1p7b_s500_code_sft_data",
|
| 4 |
+
"positives_file": "/mnt/mystorageoutput/projects/rl-forgetting/sft_data/code/qwen3_1p7b_s500_code_sft_data/qwen3_1p7b_s500_code_sft_data.jsonl",
|
| 5 |
+
"model_path": "/mnt/mystorageoutput/projects/rl-forgetting/base_models/Qwen3-1.7B-Base-ea980cb0",
|
| 6 |
+
"output_dir": "/mnt/mystorageoutput/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925",
|
| 7 |
+
"lr": 1e-05,
|
| 8 |
+
"batch_size": 1,
|
| 9 |
+
"effective_batch_size": 256,
|
| 10 |
+
"weight_decay": 0.01,
|
| 11 |
+
"warmup_ratio": 0.0,
|
| 12 |
+
"schedule": "constant",
|
| 13 |
+
"max_seq_length": 4096,
|
| 14 |
+
"seed": 42,
|
| 15 |
+
"bf16": true,
|
| 16 |
+
"attn_impl": "auto",
|
| 17 |
+
"precision": "mixed_bf16",
|
| 18 |
+
"grad_clip": 0.0,
|
| 19 |
+
"loss_agg_mode": "token-mean",
|
| 20 |
+
"ordered": false,
|
| 21 |
+
"within_step_shuffle": false,
|
| 22 |
+
"system_prompt_mode": "from_record",
|
| 23 |
+
"score_threshold": 0.0,
|
| 24 |
+
"drop_all_pass_groups": false,
|
| 25 |
+
"max_rl_step": null,
|
| 26 |
+
"num_epochs": 1,
|
| 27 |
+
"replay_strategy": "none",
|
| 28 |
+
"replay_lambda": 0.0,
|
| 29 |
+
"replay_batch_size": 1,
|
| 30 |
+
"replay_cooldown_step": 128.0,
|
| 31 |
+
"replay_ce_tau": 1.0,
|
| 32 |
+
"replay_ce_init": "insert",
|
| 33 |
+
"replay_group_size": 8,
|
| 34 |
+
"replay_seed": null,
|
| 35 |
+
"max_train_steps": null,
|
| 36 |
+
"num_checkpoints": 10,
|
| 37 |
+
"checkpoint_after_resume_steps": null,
|
| 38 |
+
"save_optimizer_state": true,
|
| 39 |
+
"prune_old_optimizer": true,
|
| 40 |
+
"save_optimizer_every_n_ckpts": 5,
|
| 41 |
+
"save_optimizer_first_ckpt": true,
|
| 42 |
+
"snapshot_dtype": "float32",
|
| 43 |
+
"snapshot_device": "cpu",
|
| 44 |
+
"metrics_log_every": 10,
|
| 45 |
+
"ddp_timeout_seconds": 3600,
|
| 46 |
+
"memory_canary_longest_first": false,
|
| 47 |
+
"log_cuda_memory": true,
|
| 48 |
+
"save_final_model": true,
|
| 49 |
+
"wandb_project": "rl_forgetting_sft",
|
| 50 |
+
"wandb_entity": "jingyanshen-new-york-university",
|
| 51 |
+
"wandb_run_name": "qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925_segment_g3",
|
| 52 |
+
"wandb_group": "code_sft_20260922_qwen3_1p7b_s500",
|
| 53 |
+
"wandb_run_id_file": "/mnt/mystorageoutput/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925/wandb_run_id_generation_3.txt",
|
| 54 |
+
"resume_from": "/mnt/mystorageoutput/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925/checkpoints/step_51",
|
| 55 |
+
"grad_accum_steps": 64
|
| 56 |
+
}
|
training/q3_1p7b_sft_shuffled/training_complete.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"azure_run_id": "mango_button_p5zgp0zwbm",
|
| 3 |
+
"completed_at": "2026-09-25T07:33:13.812772+00:00",
|
| 4 |
+
"host": "node-0",
|
| 5 |
+
"offline_wandb_sync_required": true,
|
| 6 |
+
"schema_version": 1,
|
| 7 |
+
"status": "training_complete",
|
| 8 |
+
"wandb_generation": 3,
|
| 9 |
+
"wandb_mode": "offline",
|
| 10 |
+
"wandb_run_id_file": "/mnt/mystorageoutput/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925/wandb_run_id_generation_3.txt"
|
| 11 |
+
}
|
training/q3_1p7b_sft_shuffled/wandb/offline-run-20260925_071649-7y8jx2s3/files/requirements.txt
ADDED
|
@@ -0,0 +1,266 @@
|
|
|
|
|
|
|
|
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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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|
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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 |
+
aiohttp==3.14.3
|
| 2 |
+
rpds-py==0.30.0
|
| 3 |
+
cupy-cuda12x==14.2.0
|
| 4 |
+
pyfiglet==1.0.2
|
| 5 |
+
fastapi-cli==0.0.32
|
| 6 |
+
flash_attn==2.7.4.post1
|
| 7 |
+
websockets==16.1.1
|
| 8 |
+
xformers==0.0.29.post2
|
| 9 |
+
astor==0.8.1
|
| 10 |
+
python-multipart==0.0.32
|
| 11 |
+
anyio==4.15.1
|
| 12 |
+
pytz==2026.3.post1
|
| 13 |
+
jsonschema-specifications==2025.9.1
|
| 14 |
+
graphene==3.4.3
|
| 15 |
+
multiprocess==0.70.19
|
| 16 |
+
vllm==0.8.5
|
| 17 |
+
airportsdata==20260315
|
| 18 |
+
blake3==1.0.9
|
| 19 |
+
Deprecated==1.3.1
|
| 20 |
+
numba==0.61.2
|
| 21 |
+
python-dateutil==2.9.0.post0
|
| 22 |
+
opentelemetry-exporter-otlp-proto-common==1.26.0
|
| 23 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
| 24 |
+
graphql-core==3.2.12
|
| 25 |
+
outlines_core==0.1.26
|
| 26 |
+
virtualenv==21.7.9
|
| 27 |
+
shellingham==1.5.4
|
| 28 |
+
nvidia-cufft-cu12==11.2.1.3
|
| 29 |
+
truststore==0.10.4
|
| 30 |
+
pydantic-settings==2.15.0
|
| 31 |
+
huggingface_hub==0.36.2
|
| 32 |
+
typer==0.27.2
|
| 33 |
+
zipp==4.1.0
|
| 34 |
+
requests==2.34.2
|
| 35 |
+
uvloop==0.22.1
|
| 36 |
+
setuptools==80.9.0
|
| 37 |
+
fsspec==2026.6.0
|
| 38 |
+
arckit==0.1.0
|
| 39 |
+
filelock==3.32.6
|
| 40 |
+
safetensors==0.8.0
|
| 41 |
+
opencv-python-headless==5.0.0.93
|
| 42 |
+
llguidance==0.7.30
|
| 43 |
+
pillow==12.3.0
|
| 44 |
+
cffi==2.1.1
|
| 45 |
+
Pygments==2.21.0
|
| 46 |
+
opentelemetry-sdk==1.26.0
|
| 47 |
+
smmap==5.0.3
|
| 48 |
+
opentelemetry-exporter-prometheus==0.47b0
|
| 49 |
+
mdurl==0.1.2
|
| 50 |
+
itsdangerous==2.2.0
|
| 51 |
+
gunicorn==26.2.0
|
| 52 |
+
aiohttp-cors==0.8.1
|
| 53 |
+
zss==1.2.0
|
| 54 |
+
pycountry==26.2.16
|
| 55 |
+
opencensus-context==0.1.3
|
| 56 |
+
pip==26.2.1
|
| 57 |
+
tabulate==0.9.0
|
| 58 |
+
markdown-it-py==4.2.0
|
| 59 |
+
lm-format-enforcer==0.10.12
|
| 60 |
+
triton==3.2.0
|
| 61 |
+
pyasn1==0.6.4
|
| 62 |
+
ninja==1.13.2
|
| 63 |
+
tensordict==0.6.2
|
| 64 |
+
Jinja2==3.1.6
|
| 65 |
+
fastapi==0.141.1
|
| 66 |
+
pyasn1_modules==0.4.2
|
| 67 |
+
scipy==1.15.3
|
| 68 |
+
importlib_metadata==8.0.0
|
| 69 |
+
sympy==1.13.1
|
| 70 |
+
pycparser==3.0
|
| 71 |
+
mpmath==1.3.0
|
| 72 |
+
nvidia-cusparse-cu12==12.3.1.170
|
| 73 |
+
hydra-core==1.3.6
|
| 74 |
+
Flask==3.1.3
|
| 75 |
+
scikit-learn==1.7.2
|
| 76 |
+
datasets==5.0.1
|
| 77 |
+
opentelemetry-proto==1.26.0
|
| 78 |
+
nvidia-cusparselt-cu12==0.6.2
|
| 79 |
+
PyYAML==6.0.3
|
| 80 |
+
attrs==26.1.0
|
| 81 |
+
nvidia-curand-cu12==10.3.5.147
|
| 82 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 83 |
+
SQLAlchemy==2.0.52
|
| 84 |
+
mlflow-skinny==3.16.0
|
| 85 |
+
rich-toolkit==0.20.5
|
| 86 |
+
xxhash==4.0.1
|
| 87 |
+
urllib3==2.7.0
|
| 88 |
+
charset-normalizer==3.5.1
|
| 89 |
+
protobuf==4.25.9
|
| 90 |
+
platformdirs==4.11.8
|
| 91 |
+
httpx==0.28.1
|
| 92 |
+
wandb==0.28.0
|
| 93 |
+
pyarrow==25.0.1
|
| 94 |
+
openai==3.13.0
|
| 95 |
+
peft==0.20.0
|
| 96 |
+
packaging==26.3
|
| 97 |
+
certifi==2026.7.22
|
| 98 |
+
Mako==1.4.1
|
| 99 |
+
prometheus_client==0.26.0
|
| 100 |
+
exceptiongroup==1.3.1
|
| 101 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
| 102 |
+
idna==3.19
|
| 103 |
+
cachetools==7.1.8
|
| 104 |
+
python-json-logger==4.2.0
|
| 105 |
+
distlib==0.4.3
|
| 106 |
+
pydantic_core==2.46.5
|
| 107 |
+
mistral_common==1.11.7
|
| 108 |
+
orjson==3.12.0
|
| 109 |
+
fastar==0.12.0
|
| 110 |
+
tokenizers==0.22.2
|
| 111 |
+
watchfiles==1.2.0
|
| 112 |
+
nvidia-cusolver-cu12==11.6.1.9
|
| 113 |
+
smart_open==8.0.1
|
| 114 |
+
wheel==0.47.0
|
| 115 |
+
magiccube==0.3.0
|
| 116 |
+
conda-pack==0.9.2
|
| 117 |
+
tiktoken==0.14.0
|
| 118 |
+
accelerate==1.15.0
|
| 119 |
+
prettytable==3.18.0
|
| 120 |
+
jsonschema==4.26.0
|
| 121 |
+
prometheus-fastapi-instrumentator==8.1.0
|
| 122 |
+
mlflow-tracing==3.16.0
|
| 123 |
+
python-dotenv==1.2.3
|
| 124 |
+
aiosignal==1.4.0
|
| 125 |
+
py-spy==0.4.2
|
| 126 |
+
tqdm==4.70.1
|
| 127 |
+
opentelemetry-exporter-otlp==1.26.0
|
| 128 |
+
MarkupSafe==3.0.3
|
| 129 |
+
interegular==0.3.3
|
| 130 |
+
networkx==3.4.2
|
| 131 |
+
contourpy==1.3.2
|
| 132 |
+
gguf==0.19.0
|
| 133 |
+
async-timeout==5.0.1
|
| 134 |
+
h11==0.16.0
|
| 135 |
+
xgrammar==0.1.18
|
| 136 |
+
httpx2==2.12.0
|
| 137 |
+
matplotlib==3.10.9
|
| 138 |
+
huey==3.4.0
|
| 139 |
+
einops==0.8.2
|
| 140 |
+
opencensus==0.11.4
|
| 141 |
+
msgpack==1.2.2
|
| 142 |
+
pandas==2.3.3
|
| 143 |
+
llvmlite==0.44.0
|
| 144 |
+
sniffio==1.3.1
|
| 145 |
+
GitPython==3.1.62
|
| 146 |
+
opentelemetry-exporter-otlp-proto-grpc==1.26.0
|
| 147 |
+
greenlet==3.5.5
|
| 148 |
+
six==1.17.0
|
| 149 |
+
partial-json-parser==0.2.1.1.post7
|
| 150 |
+
outlines==0.1.11
|
| 151 |
+
google-auth==2.58.0
|
| 152 |
+
joblib==1.6.0
|
| 153 |
+
mlflow==3.16.0
|
| 154 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
| 155 |
+
pydantic-extra-types==2.11.1
|
| 156 |
+
databricks-sdk==0.138.0
|
| 157 |
+
referencing==0.37.0
|
| 158 |
+
propcache==0.5.2
|
| 159 |
+
nest-asyncio==1.6.0
|
| 160 |
+
torch==2.6.0
|
| 161 |
+
math-verify==0.9.0
|
| 162 |
+
compressed-tensors==0.9.3
|
| 163 |
+
googleapis-common-protos==1.75.0
|
| 164 |
+
yarl==1.24.5
|
| 165 |
+
cellpylib==2.4.0
|
| 166 |
+
nvidia-nvjitlink-cu12==12.4.127
|
| 167 |
+
opentelemetry-semantic-conventions-ai==0.4.13
|
| 168 |
+
ray==2.47.1
|
| 169 |
+
sqlparse==0.6.0
|
| 170 |
+
jiter==0.16.0
|
| 171 |
+
drawsvg==2.4.2
|
| 172 |
+
email-validator==2.3.0
|
| 173 |
+
opentelemetry-exporter-otlp-proto-http==1.26.0
|
| 174 |
+
hf-xet==1.6.0
|
| 175 |
+
torchdata==0.11.0
|
| 176 |
+
transformers==4.57.6
|
| 177 |
+
codetiming==1.4.0
|
| 178 |
+
httpcore2==2.12.0
|
| 179 |
+
pydantic==2.13.5
|
| 180 |
+
cryptography==50.0.1
|
| 181 |
+
torchvision==0.21.0
|
| 182 |
+
psutil==7.2.2
|
| 183 |
+
starlette==1.6.0
|
| 184 |
+
uvicorn==0.52.4
|
| 185 |
+
diskcache==5.6.3
|
| 186 |
+
nvidia-nccl-cu12==2.21.5
|
| 187 |
+
detect-installer==0.2.1
|
| 188 |
+
typing-inspection==0.4.4
|
| 189 |
+
tomli==2.4.1
|
| 190 |
+
opentelemetry-semantic-conventions==0.47b0
|
| 191 |
+
numpy==2.2.6
|
| 192 |
+
alembic==1.19.2
|
| 193 |
+
cycler==0.12.1
|
| 194 |
+
gitdb==4.0.12
|
| 195 |
+
google-api-core==2.30.3
|
| 196 |
+
rich==15.0.0
|
| 197 |
+
reasoning_gym==0.1.25
|
| 198 |
+
httptools==0.8.0
|
| 199 |
+
httpcore==1.0.9
|
| 200 |
+
rignore==0.8.1
|
| 201 |
+
nvidia-cublas-cu12==12.4.5.8
|
| 202 |
+
annotated-doc==0.0.5
|
| 203 |
+
pyzmq==27.2.0
|
| 204 |
+
antlr4-python3-runtime==4.9.3
|
| 205 |
+
agent-detector==2.0.0
|
| 206 |
+
fonttools==4.65.0
|
| 207 |
+
latex2sympy2_extended==1.11.0
|
| 208 |
+
threadpoolctl==3.6.0
|
| 209 |
+
regex==2026.9.10
|
| 210 |
+
lark==1.2.2
|
| 211 |
+
verl==0.4.1.dev0
|
| 212 |
+
blinker==1.9.0
|
| 213 |
+
flask-cors==6.0.5
|
| 214 |
+
grpcio==1.83.1
|
| 215 |
+
colorful==0.5.8
|
| 216 |
+
skops==0.14.0
|
| 217 |
+
tzdata==2026.3
|
| 218 |
+
dnspython==2.8.0
|
| 219 |
+
wcwidth==0.8.3
|
| 220 |
+
sentencepiece==0.2.2
|
| 221 |
+
python-discovery==1.6.0
|
| 222 |
+
sentry-sdk==2.69.1
|
| 223 |
+
bfi==1.0.4
|
| 224 |
+
Werkzeug==3.1.8
|
| 225 |
+
nvidia-nvtx-cu12==12.4.127
|
| 226 |
+
click==8.5.0
|
| 227 |
+
annotated-types==0.8.0
|
| 228 |
+
aiohappyeyeballs==2.7.1
|
| 229 |
+
cloudpickle==3.1.2
|
| 230 |
+
fastapi-cloud-cli==0.26.0
|
| 231 |
+
msgspec==0.21.1
|
| 232 |
+
pylatexenc==2.11
|
| 233 |
+
proto-plus==1.28.2
|
| 234 |
+
dill==0.4.1
|
| 235 |
+
py-cpuinfo==9.0.0
|
| 236 |
+
pyparsing==3.3.2
|
| 237 |
+
typing_extensions==4.16.0
|
| 238 |
+
wrapt==2.4.1
|
| 239 |
+
depyf==0.18.0
|
| 240 |
+
kiwisolver==1.5.1
|
| 241 |
+
cuda-pathfinder==1.8.1
|
| 242 |
+
pybind11==3.1.0
|
| 243 |
+
opentelemetry-api==1.26.0
|
| 244 |
+
frozenlist==1.8.0
|
| 245 |
+
pycosat==0.6.6
|
| 246 |
+
graphql-relay==3.2.0
|
| 247 |
+
docker==7.2.0
|
| 248 |
+
multidict==6.8.0
|
| 249 |
+
torchaudio==2.6.0
|
| 250 |
+
omegaconf==2.3.1
|
| 251 |
+
platformdirs==4.2.2
|
| 252 |
+
tomli==2.0.1
|
| 253 |
+
autocommand==2.2.2
|
| 254 |
+
zipp==3.19.2
|
| 255 |
+
more-itertools==10.3.0
|
| 256 |
+
typing_extensions==4.12.2
|
| 257 |
+
jaraco.functools==4.0.1
|
| 258 |
+
importlib_metadata==8.0.0
|
| 259 |
+
jaraco.text==3.12.1
|
| 260 |
+
wheel==0.45.1
|
| 261 |
+
jaraco.context==5.3.0
|
| 262 |
+
jaraco.collections==5.1.0
|
| 263 |
+
backports.tarfile==1.2.0
|
| 264 |
+
packaging==24.2
|
| 265 |
+
inflect==7.3.1
|
| 266 |
+
typeguard==4.3.0
|
training/q3_1p7b_sft_shuffled/wandb/run-20260925_060938-ade2qena/files/requirements.txt
ADDED
|
@@ -0,0 +1,266 @@
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
tqdm==4.70.1
|
| 2 |
+
sqlparse==0.6.0
|
| 3 |
+
huggingface_hub==0.36.2
|
| 4 |
+
rich-toolkit==0.20.5
|
| 5 |
+
torch==2.6.0
|
| 6 |
+
threadpoolctl==3.6.0
|
| 7 |
+
numpy==2.2.6
|
| 8 |
+
nvidia-curand-cu12==10.3.5.147
|
| 9 |
+
httpx==0.28.1
|
| 10 |
+
anyio==4.15.1
|
| 11 |
+
vllm==0.8.5
|
| 12 |
+
gunicorn==26.2.0
|
| 13 |
+
prettytable==3.18.0
|
| 14 |
+
mlflow==3.16.0
|
| 15 |
+
importlib_metadata==8.0.0
|
| 16 |
+
cryptography==50.0.1
|
| 17 |
+
graphql-relay==3.2.0
|
| 18 |
+
nvidia-cudnn-cu12==9.1.0.70
|
| 19 |
+
ray==2.47.1
|
| 20 |
+
psutil==7.2.2
|
| 21 |
+
tomli==2.4.1
|
| 22 |
+
omegaconf==2.3.1
|
| 23 |
+
Jinja2==3.1.6
|
| 24 |
+
nvidia-cuda-cupti-cu12==12.4.127
|
| 25 |
+
hf-xet==1.6.0
|
| 26 |
+
pyarrow==25.0.1
|
| 27 |
+
pyasn1_modules==0.4.2
|
| 28 |
+
rich==15.0.0
|
| 29 |
+
jsonschema-specifications==2025.9.1
|
| 30 |
+
einops==0.8.2
|
| 31 |
+
nvidia-cufft-cu12==11.2.1.3
|
| 32 |
+
tiktoken==0.14.0
|
| 33 |
+
tabulate==0.9.0
|
| 34 |
+
aiosignal==1.4.0
|
| 35 |
+
sentencepiece==0.2.2
|
| 36 |
+
cellpylib==2.4.0
|
| 37 |
+
nvidia-cuda-nvrtc-cu12==12.4.127
|
| 38 |
+
wheel==0.47.0
|
| 39 |
+
referencing==0.37.0
|
| 40 |
+
opentelemetry-exporter-otlp-proto-common==1.26.0
|
| 41 |
+
rpds-py==0.30.0
|
| 42 |
+
yarl==1.24.5
|
| 43 |
+
nest-asyncio==1.6.0
|
| 44 |
+
reasoning_gym==0.1.25
|
| 45 |
+
flash_attn==2.7.4.post1
|
| 46 |
+
kiwisolver==1.5.1
|
| 47 |
+
pandas==2.3.3
|
| 48 |
+
antlr4-python3-runtime==4.9.3
|
| 49 |
+
databricks-sdk==0.138.0
|
| 50 |
+
jsonschema==4.26.0
|
| 51 |
+
llvmlite==0.44.0
|
| 52 |
+
partial-json-parser==0.2.1.1.post7
|
| 53 |
+
aiohttp-cors==0.8.1
|
| 54 |
+
python-multipart==0.0.32
|
| 55 |
+
fastapi==0.141.1
|
| 56 |
+
virtualenv==21.7.9
|
| 57 |
+
pycparser==3.0
|
| 58 |
+
peft==0.20.0
|
| 59 |
+
networkx==3.4.2
|
| 60 |
+
py-cpuinfo==9.0.0
|
| 61 |
+
grpcio==1.83.1
|
| 62 |
+
opencensus-context==0.1.3
|
| 63 |
+
conda-pack==0.9.2
|
| 64 |
+
multiprocess==0.70.19
|
| 65 |
+
SQLAlchemy==2.0.52
|
| 66 |
+
opentelemetry-api==1.26.0
|
| 67 |
+
nvidia-cusolver-cu12==11.6.1.9
|
| 68 |
+
pybind11==3.1.0
|
| 69 |
+
xformers==0.0.29.post2
|
| 70 |
+
greenlet==3.5.5
|
| 71 |
+
dnspython==2.8.0
|
| 72 |
+
uvicorn==0.52.4
|
| 73 |
+
sniffio==1.3.1
|
| 74 |
+
httpx2==2.12.0
|
| 75 |
+
joblib==1.6.0
|
| 76 |
+
mlflow-tracing==3.16.0
|
| 77 |
+
requests==2.34.2
|
| 78 |
+
email-validator==2.3.0
|
| 79 |
+
pydantic-extra-types==2.11.1
|
| 80 |
+
proto-plus==1.28.2
|
| 81 |
+
attrs==26.1.0
|
| 82 |
+
safetensors==0.8.0
|
| 83 |
+
skops==0.14.0
|
| 84 |
+
h11==0.16.0
|
| 85 |
+
huey==3.4.0
|
| 86 |
+
PyYAML==6.0.3
|
| 87 |
+
httpcore2==2.12.0
|
| 88 |
+
pip==26.2.1
|
| 89 |
+
xgrammar==0.1.18
|
| 90 |
+
pydantic_core==2.46.5
|
| 91 |
+
graphql-core==3.2.12
|
| 92 |
+
blake3==1.0.9
|
| 93 |
+
fastar==0.12.0
|
| 94 |
+
markdown-it-py==4.2.0
|
| 95 |
+
pyfiglet==1.0.2
|
| 96 |
+
triton==3.2.0
|
| 97 |
+
pyparsing==3.3.2
|
| 98 |
+
torchvision==0.21.0
|
| 99 |
+
magiccube==0.3.0
|
| 100 |
+
itsdangerous==2.2.0
|
| 101 |
+
httpcore==1.0.9
|
| 102 |
+
websockets==16.1.1
|
| 103 |
+
verl==0.4.1.dev0
|
| 104 |
+
cachetools==7.1.8
|
| 105 |
+
mistral_common==1.11.7
|
| 106 |
+
openai==3.13.0
|
| 107 |
+
cupy-cuda12x==14.2.0
|
| 108 |
+
exceptiongroup==1.3.1
|
| 109 |
+
aiohttp==3.14.3
|
| 110 |
+
smmap==5.0.3
|
| 111 |
+
frozenlist==1.8.0
|
| 112 |
+
depyf==0.18.0
|
| 113 |
+
wandb==0.28.0
|
| 114 |
+
certifi==2026.7.22
|
| 115 |
+
matplotlib==3.10.9
|
| 116 |
+
google-auth==2.58.0
|
| 117 |
+
python-json-logger==4.2.0
|
| 118 |
+
annotated-doc==0.0.5
|
| 119 |
+
accelerate==1.15.0
|
| 120 |
+
compressed-tensors==0.9.3
|
| 121 |
+
six==1.17.0
|
| 122 |
+
nvidia-nvjitlink-cu12==12.4.127
|
| 123 |
+
opentelemetry-semantic-conventions==0.47b0
|
| 124 |
+
scikit-learn==1.7.2
|
| 125 |
+
mlflow-skinny==3.16.0
|
| 126 |
+
opentelemetry-sdk==1.26.0
|
| 127 |
+
mdurl==0.1.2
|
| 128 |
+
uvloop==0.22.1
|
| 129 |
+
pydantic==2.13.5
|
| 130 |
+
cycler==0.12.1
|
| 131 |
+
math-verify==0.9.0
|
| 132 |
+
transformers==4.57.6
|
| 133 |
+
prometheus-fastapi-instrumentator==8.1.0
|
| 134 |
+
filelock==3.32.6
|
| 135 |
+
jiter==0.16.0
|
| 136 |
+
gitdb==4.0.12
|
| 137 |
+
smart_open==8.0.1
|
| 138 |
+
torchdata==0.11.0
|
| 139 |
+
contourpy==1.3.2
|
| 140 |
+
opentelemetry-proto==1.26.0
|
| 141 |
+
hydra-core==1.3.6
|
| 142 |
+
alembic==1.19.2
|
| 143 |
+
cloudpickle==3.1.2
|
| 144 |
+
sympy==1.13.1
|
| 145 |
+
astor==0.8.1
|
| 146 |
+
Mako==1.4.1
|
| 147 |
+
MarkupSafe==3.0.3
|
| 148 |
+
pydantic-settings==2.15.0
|
| 149 |
+
starlette==1.6.0
|
| 150 |
+
colorful==0.5.8
|
| 151 |
+
diskcache==5.6.3
|
| 152 |
+
bfi==1.0.4
|
| 153 |
+
shellingham==1.5.4
|
| 154 |
+
typing_extensions==4.16.0
|
| 155 |
+
wrapt==2.4.1
|
| 156 |
+
propcache==0.5.2
|
| 157 |
+
httptools==0.8.0
|
| 158 |
+
nvidia-cublas-cu12==12.4.5.8
|
| 159 |
+
codetiming==1.4.0
|
| 160 |
+
nvidia-nccl-cu12==2.21.5
|
| 161 |
+
pytz==2026.3.post1
|
| 162 |
+
charset-normalizer==3.5.1
|
| 163 |
+
Pygments==2.21.0
|
| 164 |
+
zss==1.2.0
|
| 165 |
+
blinker==1.9.0
|
| 166 |
+
llguidance==0.7.30
|
| 167 |
+
flask-cors==6.0.5
|
| 168 |
+
opentelemetry-exporter-prometheus==0.47b0
|
| 169 |
+
GitPython==3.1.62
|
| 170 |
+
tzdata==2026.3
|
| 171 |
+
pycosat==0.6.6
|
| 172 |
+
opentelemetry-exporter-otlp-proto-http==1.26.0
|
| 173 |
+
lm-format-enforcer==0.10.12
|
| 174 |
+
googleapis-common-protos==1.75.0
|
| 175 |
+
msgpack==1.2.2
|
| 176 |
+
xxhash==4.0.1
|
| 177 |
+
agent-detector==2.0.0
|
| 178 |
+
outlines==0.1.11
|
| 179 |
+
torchaudio==2.6.0
|
| 180 |
+
airportsdata==20260315
|
| 181 |
+
rignore==0.8.1
|
| 182 |
+
mpmath==1.3.0
|
| 183 |
+
dill==0.4.1
|
| 184 |
+
async-timeout==5.0.1
|
| 185 |
+
lark==1.2.2
|
| 186 |
+
fastapi-cloud-cli==0.26.0
|
| 187 |
+
sentry-sdk==2.69.1
|
| 188 |
+
graphene==3.4.3
|
| 189 |
+
orjson==3.12.0
|
| 190 |
+
typing-inspection==0.4.4
|
| 191 |
+
protobuf==4.25.9
|
| 192 |
+
urllib3==2.7.0
|
| 193 |
+
drawsvg==2.4.2
|
| 194 |
+
opencensus==0.11.4
|
| 195 |
+
tokenizers==0.22.2
|
| 196 |
+
google-api-core==2.30.3
|
| 197 |
+
pycountry==26.2.16
|
| 198 |
+
interegular==0.3.3
|
| 199 |
+
truststore==0.10.4
|
| 200 |
+
annotated-types==0.8.0
|
| 201 |
+
opentelemetry-exporter-otlp-proto-grpc==1.26.0
|
| 202 |
+
regex==2026.9.10
|
| 203 |
+
nvidia-cuda-runtime-cu12==12.4.127
|
| 204 |
+
aiohappyeyeballs==2.7.1
|
| 205 |
+
numba==0.61.2
|
| 206 |
+
zipp==4.1.0
|
| 207 |
+
tensordict==0.6.2
|
| 208 |
+
pyasn1==0.6.4
|
| 209 |
+
ninja==1.13.2
|
| 210 |
+
packaging==26.3
|
| 211 |
+
click==8.5.0
|
| 212 |
+
py-spy==0.4.2
|
| 213 |
+
nvidia-cusparse-cu12==12.3.1.170
|
| 214 |
+
docker==7.2.0
|
| 215 |
+
scipy==1.15.3
|
| 216 |
+
prometheus_client==0.26.0
|
| 217 |
+
detect-installer==0.2.1
|
| 218 |
+
wcwidth==0.8.3
|
| 219 |
+
opencv-python-headless==5.0.0.93
|
| 220 |
+
arckit==0.1.0
|
| 221 |
+
gguf==0.19.0
|
| 222 |
+
Deprecated==1.3.1
|
| 223 |
+
fastapi-cli==0.0.32
|
| 224 |
+
distlib==0.4.3
|
| 225 |
+
nvidia-cusparselt-cu12==0.6.2
|
| 226 |
+
fsspec==2026.6.0
|
| 227 |
+
cuda-pathfinder==1.8.1
|
| 228 |
+
nvidia-nvtx-cu12==12.4.127
|
| 229 |
+
multidict==6.8.0
|
| 230 |
+
datasets==5.0.1
|
| 231 |
+
python-discovery==1.6.0
|
| 232 |
+
cffi==2.1.1
|
| 233 |
+
opentelemetry-semantic-conventions-ai==0.4.13
|
| 234 |
+
watchfiles==1.2.0
|
| 235 |
+
platformdirs==4.11.8
|
| 236 |
+
msgspec==0.21.1
|
| 237 |
+
python-dotenv==1.2.3
|
| 238 |
+
pylatexenc==2.11
|
| 239 |
+
outlines_core==0.1.26
|
| 240 |
+
Werkzeug==3.1.8
|
| 241 |
+
Flask==3.1.3
|
| 242 |
+
latex2sympy2_extended==1.11.0
|
| 243 |
+
setuptools==80.9.0
|
| 244 |
+
python-dateutil==2.9.0.post0
|
| 245 |
+
fonttools==4.65.0
|
| 246 |
+
opentelemetry-exporter-otlp==1.26.0
|
| 247 |
+
idna==3.19
|
| 248 |
+
pillow==12.3.0
|
| 249 |
+
typer==0.27.2
|
| 250 |
+
pyzmq==27.2.0
|
| 251 |
+
backports.tarfile==1.2.0
|
| 252 |
+
importlib_metadata==8.0.0
|
| 253 |
+
jaraco.collections==5.1.0
|
| 254 |
+
packaging==24.2
|
| 255 |
+
typing_extensions==4.12.2
|
| 256 |
+
more-itertools==10.3.0
|
| 257 |
+
inflect==7.3.1
|
| 258 |
+
jaraco.context==5.3.0
|
| 259 |
+
platformdirs==4.2.2
|
| 260 |
+
autocommand==2.2.2
|
| 261 |
+
jaraco.text==3.12.1
|
| 262 |
+
typeguard==4.3.0
|
| 263 |
+
wheel==0.45.1
|
| 264 |
+
tomli==2.0.1
|
| 265 |
+
jaraco.functools==4.0.1
|
| 266 |
+
zipp==3.19.2
|
training/q3_1p7b_sft_shuffled/wandb/run-20260925_060938-ade2qena/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,112 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.8.0-1062-azure-x86_64-with-glibc2.35",
|
| 3 |
+
"python": "CPython 3.10.21",
|
| 4 |
+
"startedAt": "2026-09-25T06:09:38.934083Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--dataset",
|
| 7 |
+
"qwen3_1p7b_s500_code_sft_data",
|
| 8 |
+
"--model_path",
|
| 9 |
+
"/mnt/mystorageoutput/projects/rl-forgetting/base_models/Qwen3-1.7B-Base-ea980cb0",
|
| 10 |
+
"--output_dir",
|
| 11 |
+
"/mnt/output/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925",
|
| 12 |
+
"--system_prompt_mode",
|
| 13 |
+
"from_record",
|
| 14 |
+
"--lr",
|
| 15 |
+
"1e-5",
|
| 16 |
+
"--batch_size",
|
| 17 |
+
"1",
|
| 18 |
+
"--effective_batch_size",
|
| 19 |
+
"256",
|
| 20 |
+
"--max_seq_length",
|
| 21 |
+
"4096",
|
| 22 |
+
"--ddp_timeout_seconds",
|
| 23 |
+
"3600",
|
| 24 |
+
"--schedule",
|
| 25 |
+
"constant",
|
| 26 |
+
"--warmup_ratio",
|
| 27 |
+
"0",
|
| 28 |
+
"--num_epochs",
|
| 29 |
+
"1",
|
| 30 |
+
"--seed",
|
| 31 |
+
"42",
|
| 32 |
+
"--log_cuda_memory",
|
| 33 |
+
"--num_checkpoints",
|
| 34 |
+
"10",
|
| 35 |
+
"--save_optimizer_every_n_ckpts",
|
| 36 |
+
"5",
|
| 37 |
+
"--prune_old_optimizer",
|
| 38 |
+
"--save_optimizer_first_ckpt",
|
| 39 |
+
"--metrics_log_every",
|
| 40 |
+
"10",
|
| 41 |
+
"--precision",
|
| 42 |
+
"mixed_bf16",
|
| 43 |
+
"--grad_clip",
|
| 44 |
+
"0",
|
| 45 |
+
"--snapshot_device",
|
| 46 |
+
"cpu",
|
| 47 |
+
"--snapshot_dtype",
|
| 48 |
+
"float32",
|
| 49 |
+
"--wandb_project",
|
| 50 |
+
"rl_forgetting_sft",
|
| 51 |
+
"--wandb_entity",
|
| 52 |
+
"jingyanshen-new-york-university",
|
| 53 |
+
"--wandb_group",
|
| 54 |
+
"code_sft_20260922_qwen3_1p7b_s500",
|
| 55 |
+
"--wandb_run_name",
|
| 56 |
+
"qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925_segment_g1",
|
| 57 |
+
"--wandb_run_id_file",
|
| 58 |
+
"/mnt/output/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925/wandb_run_id_generation_1.txt"
|
| 59 |
+
],
|
| 60 |
+
"program": "/scratch/amlt_code/sft/run_sft.py",
|
| 61 |
+
"codePath": "sft/run_sft.py",
|
| 62 |
+
"codePathLocal": "sft/run_sft.py",
|
| 63 |
+
"email": "js15262@nyu.edu",
|
| 64 |
+
"root": "/mnt/output/projects/rl-forgetting/amlt-results/7209658985.41605-70a912e4-65e2/qwen3_1p7b_s500_code_shuffled_lr1e-5_bs256_seed42_gcr_rerun_20260925",
|
| 65 |
+
"host": "node-0",
|
| 66 |
+
"executable": "/tmp/rlf-code-runtime/bin/python",
|
| 67 |
+
"cpu_count": 96,
|
| 68 |
+
"cpu_count_logical": 96,
|
| 69 |
+
"gpu": "NVIDIA H100 80GB HBM3",
|
| 70 |
+
"gpu_count": 4,
|
| 71 |
+
"disk": {
|
| 72 |
+
"/": {
|
| 73 |
+
"total": "30601604947968",
|
| 74 |
+
"used": "843751456768"
|
| 75 |
+
}
|
| 76 |
+
},
|
| 77 |
+
"memory": {
|
| 78 |
+
"total": "2008079089664"
|
| 79 |
+
},
|
| 80 |
+
"gpu_nvidia": [
|
| 81 |
+
{
|
| 82 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 83 |
+
"memoryTotal": "85520809984",
|
| 84 |
+
"cudaCores": 16896,
|
| 85 |
+
"architecture": "Hopper",
|
| 86 |
+
"uuid": "GPU-bdd68df3-74c2-3c86-5bb3-2fb37a8467aa"
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 90 |
+
"memoryTotal": "85520809984",
|
| 91 |
+
"cudaCores": 16896,
|
| 92 |
+
"architecture": "Hopper",
|
| 93 |
+
"uuid": "GPU-0eb031cd-bc39-e289-aa5f-491995612f2c"
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 97 |
+
"memoryTotal": "85520809984",
|
| 98 |
+
"cudaCores": 16896,
|
| 99 |
+
"architecture": "Hopper",
|
| 100 |
+
"uuid": "GPU-dc94e8ac-c4bf-3968-1ffb-653db2b301e3"
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"name": "NVIDIA H100 80GB HBM3",
|
| 104 |
+
"memoryTotal": "85520809984",
|
| 105 |
+
"cudaCores": 16896,
|
| 106 |
+
"architecture": "Hopper",
|
| 107 |
+
"uuid": "GPU-69e7739a-0c44-75df-af9f-811136725212"
|
| 108 |
+
}
|
| 109 |
+
],
|
| 110 |
+
"cudaVersion": "13.0",
|
| 111 |
+
"writerId": "rapeft57noznsok8ugkhxhgjypwccziq"
|
| 112 |
+
}
|
training/q3_1p7b_sft_shuffled/wandb_run_id_generation_1.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
ade2qena
|
training/q3_1p7b_sft_shuffled/wandb_run_id_generation_2.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
c1cb400b
|
training/q3_1p7b_sft_shuffled/wandb_run_id_generation_3.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
7y8jx2s3
|
training/q3_1p7b_sft_shuffled/wandb_segments/generation_1.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt_id": "bold_rod_d75dnm49lp|node-0|a15a53f32e7e4e7090ef98b58648857c",
|
| 3 |
+
"created_at": "2026-09-25T06:08:29.584953+00:00",
|
| 4 |
+
"generation": 1,
|
| 5 |
+
"resume_step": 0,
|
| 6 |
+
"schema_version": 1,
|
| 7 |
+
"wandb_run_id": "ade2qena"
|
| 8 |
+
}
|
training/q3_1p7b_sft_shuffled/wandb_segments/generation_2.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt_id": "bold_rod_d75dnm49lp|node-0|e45ce8697e4348c4b105e610d34b812c",
|
| 3 |
+
"created_at": "2026-09-25T06:37:37.462035+00:00",
|
| 4 |
+
"generation": 2,
|
| 5 |
+
"resume_step": 51,
|
| 6 |
+
"schema_version": 1,
|
| 7 |
+
"wandb_run_id": "c1cb400b"
|
| 8 |
+
}
|
training/q3_1p7b_sft_shuffled/wandb_segments/generation_3.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"attempt_id": "mango_button_p5zgp0zwbm|node-0|c150453c68ac4618ab0856ce0b8a899e",
|
| 3 |
+
"created_at": "2026-09-25T07:15:00.825913+00:00",
|
| 4 |
+
"generation": 3,
|
| 5 |
+
"resume_step": 51,
|
| 6 |
+
"schema_version": 1,
|
| 7 |
+
"wandb_run_id": "7y8jx2s3"
|
| 8 |
+
}
|