Instructions to use Nhckdvrl/cvis-ablate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nhckdvrl/cvis-ablate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nhckdvrl/cvis-ablate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add a4_fixed_images/round_3: MathVision 53.95%, MathVista 82.80%, MMMU 68.22% (part 2)
Browse files- .gitattributes +1 -0
- a4_fixed_images/round_3/model-00002-of-00004.safetensors +3 -0
- a4_fixed_images/round_3/model-00003-of-00004.safetensors +3 -0
- a4_fixed_images/round_3/model-00004-of-00004.safetensors +3 -0
- a4_fixed_images/round_3/model.safetensors.index.json +768 -0
- a4_fixed_images/round_3/preprocessor_config.json +21 -0
- a4_fixed_images/round_3/processor_config.json +60 -0
- a4_fixed_images/round_3/tokenizer.json +3 -0
- a4_fixed_images/round_3/tokenizer_config.json +33 -0
- a4_fixed_images/round_3/trainer_state.json +2454 -0
.gitattributes
CHANGED
|
@@ -47,3 +47,4 @@ c4_no_difficulty_filter/round_1/tokenizer.json filter=lfs diff=lfs merge=lfs -te
|
|
| 47 |
c4_no_difficulty_filter/round_2/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 48 |
c4_no_difficulty_filter/round_3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 49 |
c4_no_difficulty_filter/round_4/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 47 |
c4_no_difficulty_filter/round_2/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 48 |
c4_no_difficulty_filter/round_3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 49 |
c4_no_difficulty_filter/round_4/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 50 |
+
a4_fixed_images/round_3/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
a4_fixed_images/round_3/model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6594864f923a2ed170acd4c248163251595ad915fed5b9f3213c129cf3cc9421
|
| 3 |
+
size 4987757928
|
a4_fixed_images/round_3/model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d275f6af1bbfcc20f5709cc952e10abbf45e0a11e0360257b212d94dfcfa6f3
|
| 3 |
+
size 4954810240
|
a4_fixed_images/round_3/model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:57c65b4941736a75cd7fff8a6ac2abb636f707e3a232955bd63e4f0861f13d41
|
| 3 |
+
size 3934446832
|
a4_fixed_images/round_3/model.safetensors.index.json
ADDED
|
@@ -0,0 +1,768 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 1469680,
|
| 4 |
+
"total_size": 18819627488
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"lm_head.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.language_model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.language_model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.language_model.layers.0.linear_attn.A_log": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.language_model.layers.0.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.language_model.layers.0.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.language_model.layers.0.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.language_model.layers.0.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.language_model.layers.0.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.language_model.layers.0.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.language_model.layers.0.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.language_model.layers.0.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.language_model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.language_model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.language_model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.language_model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.language_model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.language_model.layers.1.linear_attn.A_log": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.language_model.layers.1.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.language_model.layers.1.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
|
| 27 |
+
"model.language_model.layers.1.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
|
| 28 |
+
"model.language_model.layers.1.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
|
| 29 |
+
"model.language_model.layers.1.linear_attn.in_proj_qkv.weight": "model-00001-of-00004.safetensors",
|
| 30 |
+
"model.language_model.layers.1.linear_attn.in_proj_z.weight": "model-00001-of-00004.safetensors",
|
| 31 |
+
"model.language_model.layers.1.linear_attn.norm.weight": "model-00001-of-00004.safetensors",
|
| 32 |
+
"model.language_model.layers.1.linear_attn.out_proj.weight": "model-00001-of-00004.safetensors",
|
| 33 |
+
"model.language_model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 34 |
+
"model.language_model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 35 |
+
"model.language_model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 36 |
+
"model.language_model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 37 |
+
"model.language_model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.language_model.layers.10.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.language_model.layers.10.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.language_model.layers.10.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.language_model.layers.10.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.language_model.layers.10.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.language_model.layers.10.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.language_model.layers.10.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.language_model.layers.10.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.language_model.layers.10.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.language_model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.language_model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.language_model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.language_model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.language_model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.language_model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.language_model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.language_model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.language_model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.language_model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.language_model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.language_model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.language_model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.language_model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.language_model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.language_model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.language_model.layers.12.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.language_model.layers.12.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.language_model.layers.12.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.language_model.layers.12.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.language_model.layers.12.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.language_model.layers.12.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.language_model.layers.12.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.language_model.layers.12.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.language_model.layers.12.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.language_model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.language_model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.language_model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.language_model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.language_model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.language_model.layers.13.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.language_model.layers.13.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.language_model.layers.13.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.language_model.layers.13.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.language_model.layers.13.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.language_model.layers.13.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.language_model.layers.13.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.language_model.layers.13.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.language_model.layers.13.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.language_model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.language_model.layers.13.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 88 |
+
"model.language_model.layers.13.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 89 |
+
"model.language_model.layers.13.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 90 |
+
"model.language_model.layers.14.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 91 |
+
"model.language_model.layers.14.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 92 |
+
"model.language_model.layers.14.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 93 |
+
"model.language_model.layers.14.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 94 |
+
"model.language_model.layers.14.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 95 |
+
"model.language_model.layers.14.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 96 |
+
"model.language_model.layers.14.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 97 |
+
"model.language_model.layers.14.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 98 |
+
"model.language_model.layers.14.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 99 |
+
"model.language_model.layers.14.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 100 |
+
"model.language_model.layers.14.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 101 |
+
"model.language_model.layers.14.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 102 |
+
"model.language_model.layers.14.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 103 |
+
"model.language_model.layers.14.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 104 |
+
"model.language_model.layers.15.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 105 |
+
"model.language_model.layers.15.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 106 |
+
"model.language_model.layers.15.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 107 |
+
"model.language_model.layers.15.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 108 |
+
"model.language_model.layers.15.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 109 |
+
"model.language_model.layers.15.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
| 110 |
+
"model.language_model.layers.15.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 111 |
+
"model.language_model.layers.15.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 112 |
+
"model.language_model.layers.15.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
| 113 |
+
"model.language_model.layers.15.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 114 |
+
"model.language_model.layers.15.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 115 |
+
"model.language_model.layers.16.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 116 |
+
"model.language_model.layers.16.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 117 |
+
"model.language_model.layers.16.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 118 |
+
"model.language_model.layers.16.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 119 |
+
"model.language_model.layers.16.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 120 |
+
"model.language_model.layers.16.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 121 |
+
"model.language_model.layers.16.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 122 |
+
"model.language_model.layers.16.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 123 |
+
"model.language_model.layers.16.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 124 |
+
"model.language_model.layers.16.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 125 |
+
"model.language_model.layers.16.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 126 |
+
"model.language_model.layers.16.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 127 |
+
"model.language_model.layers.16.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 128 |
+
"model.language_model.layers.16.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.language_model.layers.17.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.language_model.layers.17.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 131 |
+
"model.language_model.layers.17.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 132 |
+
"model.language_model.layers.17.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.language_model.layers.17.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 134 |
+
"model.language_model.layers.17.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 135 |
+
"model.language_model.layers.17.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 136 |
+
"model.language_model.layers.17.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 137 |
+
"model.language_model.layers.17.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 138 |
+
"model.language_model.layers.17.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 139 |
+
"model.language_model.layers.17.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 140 |
+
"model.language_model.layers.17.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.language_model.layers.17.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.language_model.layers.17.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.language_model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.language_model.layers.18.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.language_model.layers.18.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.language_model.layers.18.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.language_model.layers.18.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.language_model.layers.18.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.language_model.layers.18.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.language_model.layers.18.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.language_model.layers.18.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.language_model.layers.18.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 153 |
+
"model.language_model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 154 |
+
"model.language_model.layers.18.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 155 |
+
"model.language_model.layers.18.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 156 |
+
"model.language_model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 157 |
+
"model.language_model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 158 |
+
"model.language_model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 159 |
+
"model.language_model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 160 |
+
"model.language_model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 161 |
+
"model.language_model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 162 |
+
"model.language_model.layers.19.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
| 163 |
+
"model.language_model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 164 |
+
"model.language_model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.language_model.layers.19.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.language_model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.language_model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.language_model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 169 |
+
"model.language_model.layers.2.linear_attn.A_log": "model-00001-of-00004.safetensors",
|
| 170 |
+
"model.language_model.layers.2.linear_attn.conv1d.weight": "model-00001-of-00004.safetensors",
|
| 171 |
+
"model.language_model.layers.2.linear_attn.dt_bias": "model-00001-of-00004.safetensors",
|
| 172 |
+
"model.language_model.layers.2.linear_attn.in_proj_a.weight": "model-00001-of-00004.safetensors",
|
| 173 |
+
"model.language_model.layers.2.linear_attn.in_proj_b.weight": "model-00001-of-00004.safetensors",
|
| 174 |
+
"model.language_model.layers.2.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 175 |
+
"model.language_model.layers.2.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 176 |
+
"model.language_model.layers.2.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 177 |
+
"model.language_model.layers.2.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 178 |
+
"model.language_model.layers.2.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 179 |
+
"model.language_model.layers.2.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 180 |
+
"model.language_model.layers.2.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 181 |
+
"model.language_model.layers.2.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 182 |
+
"model.language_model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.language_model.layers.20.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.language_model.layers.20.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.language_model.layers.20.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.language_model.layers.20.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.language_model.layers.20.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.language_model.layers.20.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.language_model.layers.20.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.language_model.layers.20.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.language_model.layers.20.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.language_model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.language_model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.language_model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.language_model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.language_model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.language_model.layers.21.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.language_model.layers.21.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.language_model.layers.21.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.language_model.layers.21.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.language_model.layers.21.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.language_model.layers.21.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.language_model.layers.21.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.language_model.layers.21.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.language_model.layers.21.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.language_model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.language_model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.language_model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.language_model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.language_model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.language_model.layers.22.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.language_model.layers.22.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.language_model.layers.22.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.language_model.layers.22.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.language_model.layers.22.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 216 |
+
"model.language_model.layers.22.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 217 |
+
"model.language_model.layers.22.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 218 |
+
"model.language_model.layers.22.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 219 |
+
"model.language_model.layers.22.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 220 |
+
"model.language_model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 221 |
+
"model.language_model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 222 |
+
"model.language_model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 223 |
+
"model.language_model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 224 |
+
"model.language_model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.language_model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.language_model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.language_model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.language_model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.language_model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.language_model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.language_model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.language_model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.language_model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 234 |
+
"model.language_model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 235 |
+
"model.language_model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.language_model.layers.24.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 237 |
+
"model.language_model.layers.24.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 238 |
+
"model.language_model.layers.24.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 239 |
+
"model.language_model.layers.24.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.language_model.layers.24.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 241 |
+
"model.language_model.layers.24.linear_attn.in_proj_qkv.weight": "model-00003-of-00004.safetensors",
|
| 242 |
+
"model.language_model.layers.24.linear_attn.in_proj_z.weight": "model-00003-of-00004.safetensors",
|
| 243 |
+
"model.language_model.layers.24.linear_attn.norm.weight": "model-00003-of-00004.safetensors",
|
| 244 |
+
"model.language_model.layers.24.linear_attn.out_proj.weight": "model-00003-of-00004.safetensors",
|
| 245 |
+
"model.language_model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 246 |
+
"model.language_model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 247 |
+
"model.language_model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 248 |
+
"model.language_model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 249 |
+
"model.language_model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 250 |
+
"model.language_model.layers.25.linear_attn.A_log": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.language_model.layers.25.linear_attn.conv1d.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.language_model.layers.25.linear_attn.dt_bias": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.language_model.layers.25.linear_attn.in_proj_a.weight": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.language_model.layers.25.linear_attn.in_proj_b.weight": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.language_model.layers.25.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 256 |
+
"model.language_model.layers.25.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 257 |
+
"model.language_model.layers.25.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 258 |
+
"model.language_model.layers.25.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 259 |
+
"model.language_model.layers.25.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 260 |
+
"model.language_model.layers.25.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 261 |
+
"model.language_model.layers.25.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 262 |
+
"model.language_model.layers.25.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 263 |
+
"model.language_model.layers.26.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 264 |
+
"model.language_model.layers.26.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 265 |
+
"model.language_model.layers.26.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 266 |
+
"model.language_model.layers.26.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 267 |
+
"model.language_model.layers.26.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 268 |
+
"model.language_model.layers.26.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 269 |
+
"model.language_model.layers.26.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 270 |
+
"model.language_model.layers.26.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 271 |
+
"model.language_model.layers.26.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 272 |
+
"model.language_model.layers.26.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 273 |
+
"model.language_model.layers.26.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 274 |
+
"model.language_model.layers.26.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 275 |
+
"model.language_model.layers.26.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 276 |
+
"model.language_model.layers.26.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 277 |
+
"model.language_model.layers.27.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 278 |
+
"model.language_model.layers.27.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 279 |
+
"model.language_model.layers.27.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 280 |
+
"model.language_model.layers.27.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 281 |
+
"model.language_model.layers.27.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 282 |
+
"model.language_model.layers.27.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
|
| 283 |
+
"model.language_model.layers.27.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
| 284 |
+
"model.language_model.layers.27.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
| 285 |
+
"model.language_model.layers.27.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
|
| 286 |
+
"model.language_model.layers.27.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
| 287 |
+
"model.language_model.layers.27.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
| 288 |
+
"model.language_model.layers.28.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 289 |
+
"model.language_model.layers.28.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 290 |
+
"model.language_model.layers.28.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 291 |
+
"model.language_model.layers.28.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 292 |
+
"model.language_model.layers.28.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 293 |
+
"model.language_model.layers.28.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 294 |
+
"model.language_model.layers.28.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 295 |
+
"model.language_model.layers.28.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 296 |
+
"model.language_model.layers.28.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 297 |
+
"model.language_model.layers.28.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 298 |
+
"model.language_model.layers.28.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 299 |
+
"model.language_model.layers.28.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 300 |
+
"model.language_model.layers.28.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 301 |
+
"model.language_model.layers.28.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 302 |
+
"model.language_model.layers.29.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 303 |
+
"model.language_model.layers.29.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 304 |
+
"model.language_model.layers.29.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 305 |
+
"model.language_model.layers.29.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 306 |
+
"model.language_model.layers.29.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 307 |
+
"model.language_model.layers.29.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 308 |
+
"model.language_model.layers.29.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 309 |
+
"model.language_model.layers.29.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 310 |
+
"model.language_model.layers.29.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 311 |
+
"model.language_model.layers.29.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 312 |
+
"model.language_model.layers.29.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 313 |
+
"model.language_model.layers.29.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 314 |
+
"model.language_model.layers.29.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 315 |
+
"model.language_model.layers.29.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 316 |
+
"model.language_model.layers.3.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 317 |
+
"model.language_model.layers.3.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 318 |
+
"model.language_model.layers.3.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 319 |
+
"model.language_model.layers.3.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 320 |
+
"model.language_model.layers.3.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 321 |
+
"model.language_model.layers.3.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
| 322 |
+
"model.language_model.layers.3.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 323 |
+
"model.language_model.layers.3.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 324 |
+
"model.language_model.layers.3.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
| 325 |
+
"model.language_model.layers.3.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 326 |
+
"model.language_model.layers.3.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 327 |
+
"model.language_model.layers.30.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 328 |
+
"model.language_model.layers.30.linear_attn.A_log": "model-00004-of-00004.safetensors",
|
| 329 |
+
"model.language_model.layers.30.linear_attn.conv1d.weight": "model-00004-of-00004.safetensors",
|
| 330 |
+
"model.language_model.layers.30.linear_attn.dt_bias": "model-00004-of-00004.safetensors",
|
| 331 |
+
"model.language_model.layers.30.linear_attn.in_proj_a.weight": "model-00004-of-00004.safetensors",
|
| 332 |
+
"model.language_model.layers.30.linear_attn.in_proj_b.weight": "model-00004-of-00004.safetensors",
|
| 333 |
+
"model.language_model.layers.30.linear_attn.in_proj_qkv.weight": "model-00004-of-00004.safetensors",
|
| 334 |
+
"model.language_model.layers.30.linear_attn.in_proj_z.weight": "model-00004-of-00004.safetensors",
|
| 335 |
+
"model.language_model.layers.30.linear_attn.norm.weight": "model-00004-of-00004.safetensors",
|
| 336 |
+
"model.language_model.layers.30.linear_attn.out_proj.weight": "model-00004-of-00004.safetensors",
|
| 337 |
+
"model.language_model.layers.30.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 338 |
+
"model.language_model.layers.30.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 339 |
+
"model.language_model.layers.30.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 340 |
+
"model.language_model.layers.30.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 341 |
+
"model.language_model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 342 |
+
"model.language_model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
| 343 |
+
"model.language_model.layers.31.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
| 344 |
+
"model.language_model.layers.31.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
| 345 |
+
"model.language_model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
| 346 |
+
"model.language_model.layers.31.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
|
| 347 |
+
"model.language_model.layers.31.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
|
| 348 |
+
"model.language_model.layers.31.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
| 349 |
+
"model.language_model.layers.31.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
|
| 350 |
+
"model.language_model.layers.31.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
|
| 351 |
+
"model.language_model.layers.31.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
|
| 352 |
+
"model.language_model.layers.4.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 353 |
+
"model.language_model.layers.4.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 354 |
+
"model.language_model.layers.4.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 355 |
+
"model.language_model.layers.4.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 356 |
+
"model.language_model.layers.4.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 357 |
+
"model.language_model.layers.4.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 358 |
+
"model.language_model.layers.4.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 359 |
+
"model.language_model.layers.4.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 360 |
+
"model.language_model.layers.4.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 361 |
+
"model.language_model.layers.4.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 362 |
+
"model.language_model.layers.4.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 363 |
+
"model.language_model.layers.4.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 364 |
+
"model.language_model.layers.4.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 365 |
+
"model.language_model.layers.4.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 366 |
+
"model.language_model.layers.5.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 367 |
+
"model.language_model.layers.5.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 368 |
+
"model.language_model.layers.5.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 369 |
+
"model.language_model.layers.5.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 370 |
+
"model.language_model.layers.5.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 371 |
+
"model.language_model.layers.5.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 372 |
+
"model.language_model.layers.5.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 373 |
+
"model.language_model.layers.5.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 374 |
+
"model.language_model.layers.5.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 375 |
+
"model.language_model.layers.5.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 376 |
+
"model.language_model.layers.5.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 377 |
+
"model.language_model.layers.5.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 378 |
+
"model.language_model.layers.5.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 379 |
+
"model.language_model.layers.5.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 380 |
+
"model.language_model.layers.6.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 381 |
+
"model.language_model.layers.6.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 382 |
+
"model.language_model.layers.6.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 383 |
+
"model.language_model.layers.6.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 384 |
+
"model.language_model.layers.6.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 385 |
+
"model.language_model.layers.6.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 386 |
+
"model.language_model.layers.6.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 387 |
+
"model.language_model.layers.6.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 388 |
+
"model.language_model.layers.6.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 389 |
+
"model.language_model.layers.6.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 390 |
+
"model.language_model.layers.6.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 391 |
+
"model.language_model.layers.6.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 392 |
+
"model.language_model.layers.6.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 393 |
+
"model.language_model.layers.6.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 394 |
+
"model.language_model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 395 |
+
"model.language_model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 396 |
+
"model.language_model.layers.7.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 397 |
+
"model.language_model.layers.7.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 398 |
+
"model.language_model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 399 |
+
"model.language_model.layers.7.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
| 400 |
+
"model.language_model.layers.7.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 401 |
+
"model.language_model.layers.7.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 402 |
+
"model.language_model.layers.7.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
| 403 |
+
"model.language_model.layers.7.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 404 |
+
"model.language_model.layers.7.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 405 |
+
"model.language_model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 406 |
+
"model.language_model.layers.8.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 407 |
+
"model.language_model.layers.8.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 408 |
+
"model.language_model.layers.8.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 409 |
+
"model.language_model.layers.8.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 410 |
+
"model.language_model.layers.8.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 411 |
+
"model.language_model.layers.8.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 412 |
+
"model.language_model.layers.8.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 413 |
+
"model.language_model.layers.8.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 414 |
+
"model.language_model.layers.8.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 415 |
+
"model.language_model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 416 |
+
"model.language_model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 417 |
+
"model.language_model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 418 |
+
"model.language_model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 419 |
+
"model.language_model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 420 |
+
"model.language_model.layers.9.linear_attn.A_log": "model-00002-of-00004.safetensors",
|
| 421 |
+
"model.language_model.layers.9.linear_attn.conv1d.weight": "model-00002-of-00004.safetensors",
|
| 422 |
+
"model.language_model.layers.9.linear_attn.dt_bias": "model-00002-of-00004.safetensors",
|
| 423 |
+
"model.language_model.layers.9.linear_attn.in_proj_a.weight": "model-00002-of-00004.safetensors",
|
| 424 |
+
"model.language_model.layers.9.linear_attn.in_proj_b.weight": "model-00002-of-00004.safetensors",
|
| 425 |
+
"model.language_model.layers.9.linear_attn.in_proj_qkv.weight": "model-00002-of-00004.safetensors",
|
| 426 |
+
"model.language_model.layers.9.linear_attn.in_proj_z.weight": "model-00002-of-00004.safetensors",
|
| 427 |
+
"model.language_model.layers.9.linear_attn.norm.weight": "model-00002-of-00004.safetensors",
|
| 428 |
+
"model.language_model.layers.9.linear_attn.out_proj.weight": "model-00002-of-00004.safetensors",
|
| 429 |
+
"model.language_model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 430 |
+
"model.language_model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 431 |
+
"model.language_model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 432 |
+
"model.language_model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 433 |
+
"model.language_model.norm.weight": "model-00004-of-00004.safetensors",
|
| 434 |
+
"model.visual.blocks.0.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 435 |
+
"model.visual.blocks.0.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 436 |
+
"model.visual.blocks.0.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 437 |
+
"model.visual.blocks.0.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 438 |
+
"model.visual.blocks.0.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 439 |
+
"model.visual.blocks.0.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 440 |
+
"model.visual.blocks.0.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 441 |
+
"model.visual.blocks.0.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 442 |
+
"model.visual.blocks.0.norm1.bias": "model-00004-of-00004.safetensors",
|
| 443 |
+
"model.visual.blocks.0.norm1.weight": "model-00004-of-00004.safetensors",
|
| 444 |
+
"model.visual.blocks.0.norm2.bias": "model-00004-of-00004.safetensors",
|
| 445 |
+
"model.visual.blocks.0.norm2.weight": "model-00004-of-00004.safetensors",
|
| 446 |
+
"model.visual.blocks.1.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 447 |
+
"model.visual.blocks.1.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 448 |
+
"model.visual.blocks.1.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 449 |
+
"model.visual.blocks.1.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 450 |
+
"model.visual.blocks.1.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 451 |
+
"model.visual.blocks.1.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 452 |
+
"model.visual.blocks.1.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 453 |
+
"model.visual.blocks.1.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 454 |
+
"model.visual.blocks.1.norm1.bias": "model-00004-of-00004.safetensors",
|
| 455 |
+
"model.visual.blocks.1.norm1.weight": "model-00004-of-00004.safetensors",
|
| 456 |
+
"model.visual.blocks.1.norm2.bias": "model-00004-of-00004.safetensors",
|
| 457 |
+
"model.visual.blocks.1.norm2.weight": "model-00004-of-00004.safetensors",
|
| 458 |
+
"model.visual.blocks.10.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 459 |
+
"model.visual.blocks.10.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 460 |
+
"model.visual.blocks.10.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 461 |
+
"model.visual.blocks.10.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 462 |
+
"model.visual.blocks.10.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 463 |
+
"model.visual.blocks.10.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 464 |
+
"model.visual.blocks.10.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 465 |
+
"model.visual.blocks.10.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 466 |
+
"model.visual.blocks.10.norm1.bias": "model-00004-of-00004.safetensors",
|
| 467 |
+
"model.visual.blocks.10.norm1.weight": "model-00004-of-00004.safetensors",
|
| 468 |
+
"model.visual.blocks.10.norm2.bias": "model-00004-of-00004.safetensors",
|
| 469 |
+
"model.visual.blocks.10.norm2.weight": "model-00004-of-00004.safetensors",
|
| 470 |
+
"model.visual.blocks.11.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 471 |
+
"model.visual.blocks.11.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 472 |
+
"model.visual.blocks.11.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 473 |
+
"model.visual.blocks.11.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 474 |
+
"model.visual.blocks.11.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 475 |
+
"model.visual.blocks.11.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 476 |
+
"model.visual.blocks.11.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 477 |
+
"model.visual.blocks.11.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 478 |
+
"model.visual.blocks.11.norm1.bias": "model-00004-of-00004.safetensors",
|
| 479 |
+
"model.visual.blocks.11.norm1.weight": "model-00004-of-00004.safetensors",
|
| 480 |
+
"model.visual.blocks.11.norm2.bias": "model-00004-of-00004.safetensors",
|
| 481 |
+
"model.visual.blocks.11.norm2.weight": "model-00004-of-00004.safetensors",
|
| 482 |
+
"model.visual.blocks.12.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 483 |
+
"model.visual.blocks.12.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 484 |
+
"model.visual.blocks.12.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 485 |
+
"model.visual.blocks.12.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 486 |
+
"model.visual.blocks.12.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 487 |
+
"model.visual.blocks.12.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 488 |
+
"model.visual.blocks.12.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 489 |
+
"model.visual.blocks.12.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 490 |
+
"model.visual.blocks.12.norm1.bias": "model-00004-of-00004.safetensors",
|
| 491 |
+
"model.visual.blocks.12.norm1.weight": "model-00004-of-00004.safetensors",
|
| 492 |
+
"model.visual.blocks.12.norm2.bias": "model-00004-of-00004.safetensors",
|
| 493 |
+
"model.visual.blocks.12.norm2.weight": "model-00004-of-00004.safetensors",
|
| 494 |
+
"model.visual.blocks.13.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 495 |
+
"model.visual.blocks.13.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 496 |
+
"model.visual.blocks.13.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 497 |
+
"model.visual.blocks.13.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 498 |
+
"model.visual.blocks.13.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 499 |
+
"model.visual.blocks.13.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 500 |
+
"model.visual.blocks.13.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 501 |
+
"model.visual.blocks.13.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 502 |
+
"model.visual.blocks.13.norm1.bias": "model-00004-of-00004.safetensors",
|
| 503 |
+
"model.visual.blocks.13.norm1.weight": "model-00004-of-00004.safetensors",
|
| 504 |
+
"model.visual.blocks.13.norm2.bias": "model-00004-of-00004.safetensors",
|
| 505 |
+
"model.visual.blocks.13.norm2.weight": "model-00004-of-00004.safetensors",
|
| 506 |
+
"model.visual.blocks.14.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 507 |
+
"model.visual.blocks.14.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 508 |
+
"model.visual.blocks.14.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 509 |
+
"model.visual.blocks.14.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 510 |
+
"model.visual.blocks.14.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 511 |
+
"model.visual.blocks.14.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 512 |
+
"model.visual.blocks.14.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 513 |
+
"model.visual.blocks.14.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 514 |
+
"model.visual.blocks.14.norm1.bias": "model-00004-of-00004.safetensors",
|
| 515 |
+
"model.visual.blocks.14.norm1.weight": "model-00004-of-00004.safetensors",
|
| 516 |
+
"model.visual.blocks.14.norm2.bias": "model-00004-of-00004.safetensors",
|
| 517 |
+
"model.visual.blocks.14.norm2.weight": "model-00004-of-00004.safetensors",
|
| 518 |
+
"model.visual.blocks.15.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 519 |
+
"model.visual.blocks.15.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 520 |
+
"model.visual.blocks.15.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 521 |
+
"model.visual.blocks.15.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 522 |
+
"model.visual.blocks.15.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 523 |
+
"model.visual.blocks.15.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 524 |
+
"model.visual.blocks.15.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 525 |
+
"model.visual.blocks.15.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 526 |
+
"model.visual.blocks.15.norm1.bias": "model-00004-of-00004.safetensors",
|
| 527 |
+
"model.visual.blocks.15.norm1.weight": "model-00004-of-00004.safetensors",
|
| 528 |
+
"model.visual.blocks.15.norm2.bias": "model-00004-of-00004.safetensors",
|
| 529 |
+
"model.visual.blocks.15.norm2.weight": "model-00004-of-00004.safetensors",
|
| 530 |
+
"model.visual.blocks.16.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 531 |
+
"model.visual.blocks.16.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 532 |
+
"model.visual.blocks.16.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 533 |
+
"model.visual.blocks.16.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 534 |
+
"model.visual.blocks.16.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 535 |
+
"model.visual.blocks.16.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 536 |
+
"model.visual.blocks.16.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 537 |
+
"model.visual.blocks.16.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 538 |
+
"model.visual.blocks.16.norm1.bias": "model-00004-of-00004.safetensors",
|
| 539 |
+
"model.visual.blocks.16.norm1.weight": "model-00004-of-00004.safetensors",
|
| 540 |
+
"model.visual.blocks.16.norm2.bias": "model-00004-of-00004.safetensors",
|
| 541 |
+
"model.visual.blocks.16.norm2.weight": "model-00004-of-00004.safetensors",
|
| 542 |
+
"model.visual.blocks.17.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 543 |
+
"model.visual.blocks.17.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 544 |
+
"model.visual.blocks.17.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 545 |
+
"model.visual.blocks.17.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 546 |
+
"model.visual.blocks.17.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 547 |
+
"model.visual.blocks.17.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 548 |
+
"model.visual.blocks.17.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 549 |
+
"model.visual.blocks.17.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 550 |
+
"model.visual.blocks.17.norm1.bias": "model-00004-of-00004.safetensors",
|
| 551 |
+
"model.visual.blocks.17.norm1.weight": "model-00004-of-00004.safetensors",
|
| 552 |
+
"model.visual.blocks.17.norm2.bias": "model-00004-of-00004.safetensors",
|
| 553 |
+
"model.visual.blocks.17.norm2.weight": "model-00004-of-00004.safetensors",
|
| 554 |
+
"model.visual.blocks.18.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 555 |
+
"model.visual.blocks.18.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 556 |
+
"model.visual.blocks.18.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 557 |
+
"model.visual.blocks.18.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 558 |
+
"model.visual.blocks.18.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 559 |
+
"model.visual.blocks.18.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 560 |
+
"model.visual.blocks.18.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 561 |
+
"model.visual.blocks.18.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 562 |
+
"model.visual.blocks.18.norm1.bias": "model-00004-of-00004.safetensors",
|
| 563 |
+
"model.visual.blocks.18.norm1.weight": "model-00004-of-00004.safetensors",
|
| 564 |
+
"model.visual.blocks.18.norm2.bias": "model-00004-of-00004.safetensors",
|
| 565 |
+
"model.visual.blocks.18.norm2.weight": "model-00004-of-00004.safetensors",
|
| 566 |
+
"model.visual.blocks.19.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 567 |
+
"model.visual.blocks.19.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 568 |
+
"model.visual.blocks.19.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 569 |
+
"model.visual.blocks.19.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 570 |
+
"model.visual.blocks.19.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 571 |
+
"model.visual.blocks.19.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 572 |
+
"model.visual.blocks.19.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 573 |
+
"model.visual.blocks.19.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 574 |
+
"model.visual.blocks.19.norm1.bias": "model-00004-of-00004.safetensors",
|
| 575 |
+
"model.visual.blocks.19.norm1.weight": "model-00004-of-00004.safetensors",
|
| 576 |
+
"model.visual.blocks.19.norm2.bias": "model-00004-of-00004.safetensors",
|
| 577 |
+
"model.visual.blocks.19.norm2.weight": "model-00004-of-00004.safetensors",
|
| 578 |
+
"model.visual.blocks.2.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 579 |
+
"model.visual.blocks.2.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 580 |
+
"model.visual.blocks.2.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 581 |
+
"model.visual.blocks.2.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 582 |
+
"model.visual.blocks.2.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 583 |
+
"model.visual.blocks.2.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 584 |
+
"model.visual.blocks.2.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 585 |
+
"model.visual.blocks.2.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 586 |
+
"model.visual.blocks.2.norm1.bias": "model-00004-of-00004.safetensors",
|
| 587 |
+
"model.visual.blocks.2.norm1.weight": "model-00004-of-00004.safetensors",
|
| 588 |
+
"model.visual.blocks.2.norm2.bias": "model-00004-of-00004.safetensors",
|
| 589 |
+
"model.visual.blocks.2.norm2.weight": "model-00004-of-00004.safetensors",
|
| 590 |
+
"model.visual.blocks.20.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 591 |
+
"model.visual.blocks.20.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 592 |
+
"model.visual.blocks.20.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 593 |
+
"model.visual.blocks.20.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 594 |
+
"model.visual.blocks.20.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 595 |
+
"model.visual.blocks.20.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 596 |
+
"model.visual.blocks.20.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 597 |
+
"model.visual.blocks.20.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 598 |
+
"model.visual.blocks.20.norm1.bias": "model-00004-of-00004.safetensors",
|
| 599 |
+
"model.visual.blocks.20.norm1.weight": "model-00004-of-00004.safetensors",
|
| 600 |
+
"model.visual.blocks.20.norm2.bias": "model-00004-of-00004.safetensors",
|
| 601 |
+
"model.visual.blocks.20.norm2.weight": "model-00004-of-00004.safetensors",
|
| 602 |
+
"model.visual.blocks.21.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 603 |
+
"model.visual.blocks.21.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 604 |
+
"model.visual.blocks.21.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 605 |
+
"model.visual.blocks.21.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 606 |
+
"model.visual.blocks.21.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 607 |
+
"model.visual.blocks.21.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 608 |
+
"model.visual.blocks.21.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 609 |
+
"model.visual.blocks.21.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 610 |
+
"model.visual.blocks.21.norm1.bias": "model-00004-of-00004.safetensors",
|
| 611 |
+
"model.visual.blocks.21.norm1.weight": "model-00004-of-00004.safetensors",
|
| 612 |
+
"model.visual.blocks.21.norm2.bias": "model-00004-of-00004.safetensors",
|
| 613 |
+
"model.visual.blocks.21.norm2.weight": "model-00004-of-00004.safetensors",
|
| 614 |
+
"model.visual.blocks.22.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 615 |
+
"model.visual.blocks.22.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 616 |
+
"model.visual.blocks.22.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 617 |
+
"model.visual.blocks.22.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 618 |
+
"model.visual.blocks.22.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 619 |
+
"model.visual.blocks.22.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 620 |
+
"model.visual.blocks.22.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 621 |
+
"model.visual.blocks.22.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 622 |
+
"model.visual.blocks.22.norm1.bias": "model-00004-of-00004.safetensors",
|
| 623 |
+
"model.visual.blocks.22.norm1.weight": "model-00004-of-00004.safetensors",
|
| 624 |
+
"model.visual.blocks.22.norm2.bias": "model-00004-of-00004.safetensors",
|
| 625 |
+
"model.visual.blocks.22.norm2.weight": "model-00004-of-00004.safetensors",
|
| 626 |
+
"model.visual.blocks.23.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 627 |
+
"model.visual.blocks.23.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 628 |
+
"model.visual.blocks.23.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 629 |
+
"model.visual.blocks.23.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 630 |
+
"model.visual.blocks.23.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 631 |
+
"model.visual.blocks.23.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 632 |
+
"model.visual.blocks.23.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 633 |
+
"model.visual.blocks.23.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 634 |
+
"model.visual.blocks.23.norm1.bias": "model-00004-of-00004.safetensors",
|
| 635 |
+
"model.visual.blocks.23.norm1.weight": "model-00004-of-00004.safetensors",
|
| 636 |
+
"model.visual.blocks.23.norm2.bias": "model-00004-of-00004.safetensors",
|
| 637 |
+
"model.visual.blocks.23.norm2.weight": "model-00004-of-00004.safetensors",
|
| 638 |
+
"model.visual.blocks.24.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 639 |
+
"model.visual.blocks.24.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 640 |
+
"model.visual.blocks.24.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 641 |
+
"model.visual.blocks.24.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 642 |
+
"model.visual.blocks.24.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 643 |
+
"model.visual.blocks.24.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 644 |
+
"model.visual.blocks.24.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 645 |
+
"model.visual.blocks.24.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 646 |
+
"model.visual.blocks.24.norm1.bias": "model-00004-of-00004.safetensors",
|
| 647 |
+
"model.visual.blocks.24.norm1.weight": "model-00004-of-00004.safetensors",
|
| 648 |
+
"model.visual.blocks.24.norm2.bias": "model-00004-of-00004.safetensors",
|
| 649 |
+
"model.visual.blocks.24.norm2.weight": "model-00004-of-00004.safetensors",
|
| 650 |
+
"model.visual.blocks.25.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 651 |
+
"model.visual.blocks.25.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 652 |
+
"model.visual.blocks.25.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 653 |
+
"model.visual.blocks.25.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 654 |
+
"model.visual.blocks.25.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 655 |
+
"model.visual.blocks.25.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 656 |
+
"model.visual.blocks.25.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 657 |
+
"model.visual.blocks.25.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 658 |
+
"model.visual.blocks.25.norm1.bias": "model-00004-of-00004.safetensors",
|
| 659 |
+
"model.visual.blocks.25.norm1.weight": "model-00004-of-00004.safetensors",
|
| 660 |
+
"model.visual.blocks.25.norm2.bias": "model-00004-of-00004.safetensors",
|
| 661 |
+
"model.visual.blocks.25.norm2.weight": "model-00004-of-00004.safetensors",
|
| 662 |
+
"model.visual.blocks.26.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 663 |
+
"model.visual.blocks.26.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 664 |
+
"model.visual.blocks.26.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 665 |
+
"model.visual.blocks.26.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 666 |
+
"model.visual.blocks.26.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 667 |
+
"model.visual.blocks.26.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 668 |
+
"model.visual.blocks.26.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 669 |
+
"model.visual.blocks.26.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 670 |
+
"model.visual.blocks.26.norm1.bias": "model-00004-of-00004.safetensors",
|
| 671 |
+
"model.visual.blocks.26.norm1.weight": "model-00004-of-00004.safetensors",
|
| 672 |
+
"model.visual.blocks.26.norm2.bias": "model-00004-of-00004.safetensors",
|
| 673 |
+
"model.visual.blocks.26.norm2.weight": "model-00004-of-00004.safetensors",
|
| 674 |
+
"model.visual.blocks.3.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 675 |
+
"model.visual.blocks.3.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 676 |
+
"model.visual.blocks.3.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 677 |
+
"model.visual.blocks.3.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 678 |
+
"model.visual.blocks.3.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 679 |
+
"model.visual.blocks.3.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 680 |
+
"model.visual.blocks.3.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 681 |
+
"model.visual.blocks.3.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 682 |
+
"model.visual.blocks.3.norm1.bias": "model-00004-of-00004.safetensors",
|
| 683 |
+
"model.visual.blocks.3.norm1.weight": "model-00004-of-00004.safetensors",
|
| 684 |
+
"model.visual.blocks.3.norm2.bias": "model-00004-of-00004.safetensors",
|
| 685 |
+
"model.visual.blocks.3.norm2.weight": "model-00004-of-00004.safetensors",
|
| 686 |
+
"model.visual.blocks.4.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 687 |
+
"model.visual.blocks.4.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 688 |
+
"model.visual.blocks.4.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 689 |
+
"model.visual.blocks.4.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 690 |
+
"model.visual.blocks.4.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 691 |
+
"model.visual.blocks.4.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 692 |
+
"model.visual.blocks.4.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 693 |
+
"model.visual.blocks.4.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 694 |
+
"model.visual.blocks.4.norm1.bias": "model-00004-of-00004.safetensors",
|
| 695 |
+
"model.visual.blocks.4.norm1.weight": "model-00004-of-00004.safetensors",
|
| 696 |
+
"model.visual.blocks.4.norm2.bias": "model-00004-of-00004.safetensors",
|
| 697 |
+
"model.visual.blocks.4.norm2.weight": "model-00004-of-00004.safetensors",
|
| 698 |
+
"model.visual.blocks.5.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 699 |
+
"model.visual.blocks.5.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 700 |
+
"model.visual.blocks.5.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 701 |
+
"model.visual.blocks.5.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 702 |
+
"model.visual.blocks.5.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 703 |
+
"model.visual.blocks.5.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 704 |
+
"model.visual.blocks.5.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 705 |
+
"model.visual.blocks.5.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 706 |
+
"model.visual.blocks.5.norm1.bias": "model-00004-of-00004.safetensors",
|
| 707 |
+
"model.visual.blocks.5.norm1.weight": "model-00004-of-00004.safetensors",
|
| 708 |
+
"model.visual.blocks.5.norm2.bias": "model-00004-of-00004.safetensors",
|
| 709 |
+
"model.visual.blocks.5.norm2.weight": "model-00004-of-00004.safetensors",
|
| 710 |
+
"model.visual.blocks.6.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 711 |
+
"model.visual.blocks.6.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 712 |
+
"model.visual.blocks.6.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 713 |
+
"model.visual.blocks.6.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 714 |
+
"model.visual.blocks.6.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 715 |
+
"model.visual.blocks.6.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 716 |
+
"model.visual.blocks.6.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 717 |
+
"model.visual.blocks.6.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 718 |
+
"model.visual.blocks.6.norm1.bias": "model-00004-of-00004.safetensors",
|
| 719 |
+
"model.visual.blocks.6.norm1.weight": "model-00004-of-00004.safetensors",
|
| 720 |
+
"model.visual.blocks.6.norm2.bias": "model-00004-of-00004.safetensors",
|
| 721 |
+
"model.visual.blocks.6.norm2.weight": "model-00004-of-00004.safetensors",
|
| 722 |
+
"model.visual.blocks.7.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 723 |
+
"model.visual.blocks.7.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 724 |
+
"model.visual.blocks.7.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 725 |
+
"model.visual.blocks.7.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 726 |
+
"model.visual.blocks.7.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 727 |
+
"model.visual.blocks.7.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 728 |
+
"model.visual.blocks.7.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 729 |
+
"model.visual.blocks.7.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 730 |
+
"model.visual.blocks.7.norm1.bias": "model-00004-of-00004.safetensors",
|
| 731 |
+
"model.visual.blocks.7.norm1.weight": "model-00004-of-00004.safetensors",
|
| 732 |
+
"model.visual.blocks.7.norm2.bias": "model-00004-of-00004.safetensors",
|
| 733 |
+
"model.visual.blocks.7.norm2.weight": "model-00004-of-00004.safetensors",
|
| 734 |
+
"model.visual.blocks.8.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 735 |
+
"model.visual.blocks.8.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 736 |
+
"model.visual.blocks.8.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 737 |
+
"model.visual.blocks.8.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 738 |
+
"model.visual.blocks.8.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 739 |
+
"model.visual.blocks.8.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 740 |
+
"model.visual.blocks.8.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 741 |
+
"model.visual.blocks.8.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 742 |
+
"model.visual.blocks.8.norm1.bias": "model-00004-of-00004.safetensors",
|
| 743 |
+
"model.visual.blocks.8.norm1.weight": "model-00004-of-00004.safetensors",
|
| 744 |
+
"model.visual.blocks.8.norm2.bias": "model-00004-of-00004.safetensors",
|
| 745 |
+
"model.visual.blocks.8.norm2.weight": "model-00004-of-00004.safetensors",
|
| 746 |
+
"model.visual.blocks.9.attn.proj.bias": "model-00004-of-00004.safetensors",
|
| 747 |
+
"model.visual.blocks.9.attn.proj.weight": "model-00004-of-00004.safetensors",
|
| 748 |
+
"model.visual.blocks.9.attn.qkv.bias": "model-00004-of-00004.safetensors",
|
| 749 |
+
"model.visual.blocks.9.attn.qkv.weight": "model-00004-of-00004.safetensors",
|
| 750 |
+
"model.visual.blocks.9.mlp.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 751 |
+
"model.visual.blocks.9.mlp.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 752 |
+
"model.visual.blocks.9.mlp.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 753 |
+
"model.visual.blocks.9.mlp.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 754 |
+
"model.visual.blocks.9.norm1.bias": "model-00004-of-00004.safetensors",
|
| 755 |
+
"model.visual.blocks.9.norm1.weight": "model-00004-of-00004.safetensors",
|
| 756 |
+
"model.visual.blocks.9.norm2.bias": "model-00004-of-00004.safetensors",
|
| 757 |
+
"model.visual.blocks.9.norm2.weight": "model-00004-of-00004.safetensors",
|
| 758 |
+
"model.visual.merger.linear_fc1.bias": "model-00004-of-00004.safetensors",
|
| 759 |
+
"model.visual.merger.linear_fc1.weight": "model-00004-of-00004.safetensors",
|
| 760 |
+
"model.visual.merger.linear_fc2.bias": "model-00004-of-00004.safetensors",
|
| 761 |
+
"model.visual.merger.linear_fc2.weight": "model-00004-of-00004.safetensors",
|
| 762 |
+
"model.visual.merger.norm.bias": "model-00004-of-00004.safetensors",
|
| 763 |
+
"model.visual.merger.norm.weight": "model-00004-of-00004.safetensors",
|
| 764 |
+
"model.visual.patch_embed.proj.bias": "model-00004-of-00004.safetensors",
|
| 765 |
+
"model.visual.patch_embed.proj.weight": "model-00004-of-00004.safetensors",
|
| 766 |
+
"model.visual.pos_embed.weight": "model-00004-of-00004.safetensors"
|
| 767 |
+
}
|
| 768 |
+
}
|
a4_fixed_images/round_3/preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
a4_fixed_images/round_3/processor_config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"image_processor": {
|
| 3 |
+
"do_convert_rgb": true,
|
| 4 |
+
"do_normalize": true,
|
| 5 |
+
"do_rescale": true,
|
| 6 |
+
"do_resize": true,
|
| 7 |
+
"image_mean": [
|
| 8 |
+
0.5,
|
| 9 |
+
0.5,
|
| 10 |
+
0.5
|
| 11 |
+
],
|
| 12 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 13 |
+
"image_std": [
|
| 14 |
+
0.5,
|
| 15 |
+
0.5,
|
| 16 |
+
0.5
|
| 17 |
+
],
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"patch_size": 16,
|
| 20 |
+
"resample": 3,
|
| 21 |
+
"rescale_factor": 0.00392156862745098,
|
| 22 |
+
"size": {
|
| 23 |
+
"longest_edge": 16777216,
|
| 24 |
+
"shortest_edge": 65536
|
| 25 |
+
},
|
| 26 |
+
"temporal_patch_size": 2
|
| 27 |
+
},
|
| 28 |
+
"processor_class": "Qwen3VLProcessor",
|
| 29 |
+
"video_processor": {
|
| 30 |
+
"do_convert_rgb": true,
|
| 31 |
+
"do_normalize": true,
|
| 32 |
+
"do_rescale": true,
|
| 33 |
+
"do_resize": true,
|
| 34 |
+
"do_sample_frames": true,
|
| 35 |
+
"fps": 2,
|
| 36 |
+
"image_mean": [
|
| 37 |
+
0.5,
|
| 38 |
+
0.5,
|
| 39 |
+
0.5
|
| 40 |
+
],
|
| 41 |
+
"image_std": [
|
| 42 |
+
0.5,
|
| 43 |
+
0.5,
|
| 44 |
+
0.5
|
| 45 |
+
],
|
| 46 |
+
"max_frames": 768,
|
| 47 |
+
"merge_size": 2,
|
| 48 |
+
"min_frames": 4,
|
| 49 |
+
"patch_size": 16,
|
| 50 |
+
"resample": 3,
|
| 51 |
+
"rescale_factor": 0.00392156862745098,
|
| 52 |
+
"return_metadata": false,
|
| 53 |
+
"size": {
|
| 54 |
+
"longest_edge": 25165824,
|
| 55 |
+
"shortest_edge": 4096
|
| 56 |
+
},
|
| 57 |
+
"temporal_patch_size": 2,
|
| 58 |
+
"video_processor_type": "Qwen3VLVideoProcessor"
|
| 59 |
+
}
|
| 60 |
+
}
|
a4_fixed_images/round_3/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
|
| 3 |
+
size 19989325
|
a4_fixed_images/round_3/tokenizer_config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"audio_bos_token": "<|audio_start|>",
|
| 4 |
+
"audio_eos_token": "<|audio_end|>",
|
| 5 |
+
"audio_token": "<|audio_pad|>",
|
| 6 |
+
"backend": "tokenizers",
|
| 7 |
+
"bos_token": null,
|
| 8 |
+
"clean_up_tokenization_spaces": false,
|
| 9 |
+
"eos_token": "<|im_end|>",
|
| 10 |
+
"errors": "replace",
|
| 11 |
+
"image_token": "<|image_pad|>",
|
| 12 |
+
"is_local": true,
|
| 13 |
+
"local_files_only": true,
|
| 14 |
+
"model_max_length": 262144,
|
| 15 |
+
"model_specific_special_tokens": {
|
| 16 |
+
"audio_bos_token": "<|audio_start|>",
|
| 17 |
+
"audio_eos_token": "<|audio_end|>",
|
| 18 |
+
"audio_token": "<|audio_pad|>",
|
| 19 |
+
"image_token": "<|image_pad|>",
|
| 20 |
+
"video_token": "<|video_pad|>",
|
| 21 |
+
"vision_bos_token": "<|vision_start|>",
|
| 22 |
+
"vision_eos_token": "<|vision_end|>"
|
| 23 |
+
},
|
| 24 |
+
"pad_token": "<|endoftext|>",
|
| 25 |
+
"pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
|
| 26 |
+
"processor_class": "Qwen3VLProcessor",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null,
|
| 30 |
+
"video_token": "<|video_pad|>",
|
| 31 |
+
"vision_bos_token": "<|vision_start|>",
|
| 32 |
+
"vision_eos_token": "<|vision_end|>"
|
| 33 |
+
}
|
a4_fixed_images/round_3/trainer_state.json
ADDED
|
@@ -0,0 +1,2454 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 80.0,
|
| 7 |
+
"global_step": 160,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.23828125,
|
| 19 |
+
"completions/max_length": 2048.0,
|
| 20 |
+
"completions/mean_length": 935.46875,
|
| 21 |
+
"completions/min_length": 76.0,
|
| 22 |
+
"epoch": 0.00625,
|
| 23 |
+
"frac_reward_zero_std": 0.21875,
|
| 24 |
+
"grad_norm": 3.2994388780733765,
|
| 25 |
+
"kl": 0.0,
|
| 26 |
+
"learning_rate": 2e-07,
|
| 27 |
+
"loss": -1.30385160446167e-08,
|
| 28 |
+
"reward": 0.41796875,
|
| 29 |
+
"reward_std": 0.3712368607521057,
|
| 30 |
+
"rewards/MajorityAccuracy/mean": 0.41796875,
|
| 31 |
+
"rewards/MajorityAccuracy/std": 0.49419113993644714,
|
| 32 |
+
"step": 1,
|
| 33 |
+
"step_time": 208.80678155180067
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"clip_ratio/high_max": 0.0,
|
| 37 |
+
"clip_ratio/high_mean": 0.0,
|
| 38 |
+
"clip_ratio/low_mean": 0.0,
|
| 39 |
+
"clip_ratio/low_min": 0.0,
|
| 40 |
+
"clip_ratio/region_mean": 0.0,
|
| 41 |
+
"epoch": 0.0125,
|
| 42 |
+
"grad_norm": 2.516025743851983,
|
| 43 |
+
"kl": 0.0,
|
| 44 |
+
"learning_rate": 4e-07,
|
| 45 |
+
"loss": -1.1175870895385742e-08,
|
| 46 |
+
"step": 2,
|
| 47 |
+
"step_time": 24.09924700949341
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"clip_ratio/high_max": 0.0005341880605556071,
|
| 51 |
+
"clip_ratio/high_mean": 0.0002442317781969905,
|
| 52 |
+
"clip_ratio/low_mean": 0.00015300837549148127,
|
| 53 |
+
"clip_ratio/low_min": 0.0,
|
| 54 |
+
"clip_ratio/region_mean": 0.00039724015368847176,
|
| 55 |
+
"epoch": 0.01875,
|
| 56 |
+
"grad_norm": 2.377564034216767,
|
| 57 |
+
"kl": 0.0001605375964572886,
|
| 58 |
+
"learning_rate": 6e-07,
|
| 59 |
+
"loss": 0.00020832280279137194,
|
| 60 |
+
"step": 3,
|
| 61 |
+
"step_time": 24.30531121790409
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"clip_ratio/high_max": 0.0014513588685076684,
|
| 65 |
+
"clip_ratio/high_mean": 0.00045179521112004295,
|
| 66 |
+
"clip_ratio/low_mean": 0.00017769893747754395,
|
| 67 |
+
"clip_ratio/low_min": 0.0,
|
| 68 |
+
"clip_ratio/region_mean": 0.0006294941485975869,
|
| 69 |
+
"epoch": 0.025,
|
| 70 |
+
"grad_norm": 1.9937000526242146,
|
| 71 |
+
"kl": 0.0001644781787035754,
|
| 72 |
+
"learning_rate": 8e-07,
|
| 73 |
+
"loss": -0.0001656178355915472,
|
| 74 |
+
"step": 4,
|
| 75 |
+
"step_time": 24.889284912031144
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"clip_ratio/high_max": 0.0015514300903305411,
|
| 79 |
+
"clip_ratio/high_mean": 0.0003878575225826353,
|
| 80 |
+
"clip_ratio/low_mean": 0.0006487977007054724,
|
| 81 |
+
"clip_ratio/low_min": 0.0,
|
| 82 |
+
"clip_ratio/region_mean": 0.00103665521601215,
|
| 83 |
+
"epoch": 0.03125,
|
| 84 |
+
"grad_norm": 3.4895693900546547,
|
| 85 |
+
"kl": 0.0002582098422863055,
|
| 86 |
+
"learning_rate": 1e-06,
|
| 87 |
+
"loss": 0.00012415536912158132,
|
| 88 |
+
"step": 5,
|
| 89 |
+
"step_time": 24.60476123401895
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"clip_ratio/high_max": 0.004190663588815369,
|
| 93 |
+
"clip_ratio/high_mean": 0.0010942035041807685,
|
| 94 |
+
"clip_ratio/low_mean": 0.0006524196815007599,
|
| 95 |
+
"clip_ratio/low_min": 0.0,
|
| 96 |
+
"clip_ratio/region_mean": 0.0017466231693106238,
|
| 97 |
+
"epoch": 0.0375,
|
| 98 |
+
"grad_norm": 3.444562012388541,
|
| 99 |
+
"kl": 0.00035197375109419227,
|
| 100 |
+
"learning_rate": 9.998973021172564e-07,
|
| 101 |
+
"loss": 0.00019859150052070618,
|
| 102 |
+
"step": 6,
|
| 103 |
+
"step_time": 24.403202696703374
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"clip_ratio/high_max": 0.008019437140319496,
|
| 107 |
+
"clip_ratio/high_mean": 0.0023243519972311333,
|
| 108 |
+
"clip_ratio/low_mean": 9.48189408518374e-05,
|
| 109 |
+
"clip_ratio/low_min": 0.0,
|
| 110 |
+
"clip_ratio/region_mean": 0.0024191709380829707,
|
| 111 |
+
"epoch": 0.04375,
|
| 112 |
+
"grad_norm": 4.294293356165707,
|
| 113 |
+
"kl": 0.0004991115529264789,
|
| 114 |
+
"learning_rate": 9.99589250656446e-07,
|
| 115 |
+
"loss": -6.124246283434331e-06,
|
| 116 |
+
"step": 7,
|
| 117 |
+
"step_time": 24.045550470706075
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"clip_ratio/high_max": 0.003822049795417115,
|
| 121 |
+
"clip_ratio/high_mean": 0.0010009009783971123,
|
| 122 |
+
"clip_ratio/low_mean": 0.0010260162525810301,
|
| 123 |
+
"clip_ratio/low_min": 0.0,
|
| 124 |
+
"clip_ratio/region_mean": 0.0020269172382541,
|
| 125 |
+
"epoch": 0.05,
|
| 126 |
+
"grad_norm": 2.098909159630269,
|
| 127 |
+
"kl": 0.0002858805255527841,
|
| 128 |
+
"learning_rate": 9.990759721625005e-07,
|
| 129 |
+
"loss": -0.00011144764721393585,
|
| 130 |
+
"step": 8,
|
| 131 |
+
"step_time": 24.82261642953381
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"clip_ratio/high_max": 0.0,
|
| 135 |
+
"clip_ratio/high_mean": 0.0,
|
| 136 |
+
"clip_ratio/low_mean": 0.0,
|
| 137 |
+
"clip_ratio/low_min": 0.0,
|
| 138 |
+
"clip_ratio/region_mean": 0.0,
|
| 139 |
+
"completions/clipped_ratio": 0.265625,
|
| 140 |
+
"completions/max_length": 2048.0,
|
| 141 |
+
"completions/mean_length": 982.640625,
|
| 142 |
+
"completions/min_length": 81.0,
|
| 143 |
+
"epoch": 0.05625,
|
| 144 |
+
"frac_reward_zero_std": 0.28125,
|
| 145 |
+
"grad_norm": 2.2659370346861,
|
| 146 |
+
"kl": 0.00040370586430071853,
|
| 147 |
+
"learning_rate": 9.983576774858775e-07,
|
| 148 |
+
"loss": 4.033970981254242e-06,
|
| 149 |
+
"reward": 0.40625,
|
| 150 |
+
"reward_std": 0.34784403443336487,
|
| 151 |
+
"rewards/MajorityAccuracy/mean": 0.40625,
|
| 152 |
+
"rewards/MajorityAccuracy/std": 0.49209436774253845,
|
| 153 |
+
"step": 9,
|
| 154 |
+
"step_time": 188.1314673894085
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"clip_ratio/high_max": 0.001915207933052443,
|
| 158 |
+
"clip_ratio/high_mean": 0.0006029458927514497,
|
| 159 |
+
"clip_ratio/low_mean": 0.0010016581145464443,
|
| 160 |
+
"clip_ratio/low_min": 0.0,
|
| 161 |
+
"clip_ratio/region_mean": 0.001604603989108,
|
| 162 |
+
"epoch": 0.0625,
|
| 163 |
+
"grad_norm": 4.845811373718803,
|
| 164 |
+
"kl": 0.0009788744428078644,
|
| 165 |
+
"learning_rate": 9.974346616959475e-07,
|
| 166 |
+
"loss": 0.00031795166432857513,
|
| 167 |
+
"step": 10,
|
| 168 |
+
"step_time": 23.786794785875827
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"clip_ratio/high_max": 0.009560231876093894,
|
| 172 |
+
"clip_ratio/high_mean": 0.002650643771630712,
|
| 173 |
+
"clip_ratio/low_mean": 0.0008598252497904468,
|
| 174 |
+
"clip_ratio/low_min": 0.0,
|
| 175 |
+
"clip_ratio/region_mean": 0.003510469014145201,
|
| 176 |
+
"epoch": 0.06875,
|
| 177 |
+
"grad_norm": 4.090148239475799,
|
| 178 |
+
"kl": 0.002955242758616805,
|
| 179 |
+
"learning_rate": 9.963073039597796e-07,
|
| 180 |
+
"loss": 0.0006152431597001851,
|
| 181 |
+
"step": 11,
|
| 182 |
+
"step_time": 22.859326587058604
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"clip_ratio/high_max": 0.002943081854027696,
|
| 186 |
+
"clip_ratio/high_mean": 0.0008393549687752966,
|
| 187 |
+
"clip_ratio/low_mean": 0.0004073173404322006,
|
| 188 |
+
"clip_ratio/low_min": 0.0,
|
| 189 |
+
"clip_ratio/region_mean": 0.0012466723164834548,
|
| 190 |
+
"epoch": 0.075,
|
| 191 |
+
"grad_norm": 1.6383422510841037,
|
| 192 |
+
"kl": 0.001146427748608403,
|
| 193 |
+
"learning_rate": 9.949760673863846e-07,
|
| 194 |
+
"loss": -9.793091157916933e-05,
|
| 195 |
+
"step": 12,
|
| 196 |
+
"step_time": 24.715032179374248
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"clip_ratio/high_max": 0.004491277417400852,
|
| 200 |
+
"clip_ratio/high_mean": 0.0011960641204495914,
|
| 201 |
+
"clip_ratio/low_mean": 0.00333832623437047,
|
| 202 |
+
"clip_ratio/low_min": 6.103515625e-05,
|
| 203 |
+
"clip_ratio/region_mean": 0.004534390405751765,
|
| 204 |
+
"epoch": 0.08125,
|
| 205 |
+
"grad_norm": 2.9722496150827418,
|
| 206 |
+
"kl": 0.001837605464970693,
|
| 207 |
+
"learning_rate": 9.934414988364722e-07,
|
| 208 |
+
"loss": 0.0006493376567959785,
|
| 209 |
+
"step": 13,
|
| 210 |
+
"step_time": 24.871748431120068
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"clip_ratio/high_max": 0.0029557555681094527,
|
| 214 |
+
"clip_ratio/high_mean": 0.000891271760337986,
|
| 215 |
+
"clip_ratio/low_mean": 0.0007694554587942548,
|
| 216 |
+
"clip_ratio/low_min": 0.0,
|
| 217 |
+
"clip_ratio/region_mean": 0.001660727233684156,
|
| 218 |
+
"epoch": 0.0875,
|
| 219 |
+
"grad_norm": 1.6013798797093992,
|
| 220 |
+
"kl": 0.0009790184776647948,
|
| 221 |
+
"learning_rate": 9.917042286978063e-07,
|
| 222 |
+
"loss": 0.00020756019512191415,
|
| 223 |
+
"step": 14,
|
| 224 |
+
"step_time": 25.355771363712847
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"clip_ratio/high_max": 0.0053845888178329915,
|
| 228 |
+
"clip_ratio/high_mean": 0.001999696840357501,
|
| 229 |
+
"clip_ratio/low_mean": 0.003632887499406934,
|
| 230 |
+
"clip_ratio/low_min": 0.0,
|
| 231 |
+
"clip_ratio/region_mean": 0.005632584361592308,
|
| 232 |
+
"epoch": 0.09375,
|
| 233 |
+
"grad_norm": 2.3796807770688067,
|
| 234 |
+
"kl": 0.002431440312648192,
|
| 235 |
+
"learning_rate": 9.897649706262473e-07,
|
| 236 |
+
"loss": 0.0006166249513626099,
|
| 237 |
+
"step": 15,
|
| 238 |
+
"step_time": 24.870181343052536
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"clip_ratio/high_max": 0.005712042388040572,
|
| 242 |
+
"clip_ratio/high_mean": 0.0019426116487011313,
|
| 243 |
+
"clip_ratio/low_mean": 0.0017581438005436212,
|
| 244 |
+
"clip_ratio/low_min": 0.0,
|
| 245 |
+
"clip_ratio/region_mean": 0.0037007554492447525,
|
| 246 |
+
"epoch": 0.1,
|
| 247 |
+
"grad_norm": 1.605830089376638,
|
| 248 |
+
"kl": 0.003803739440627396,
|
| 249 |
+
"learning_rate": 9.87624521252587e-07,
|
| 250 |
+
"loss": 0.0007334449328482151,
|
| 251 |
+
"step": 16,
|
| 252 |
+
"step_time": 24.76658567925915
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"clip_ratio/high_max": 0.0,
|
| 256 |
+
"clip_ratio/high_mean": 0.0,
|
| 257 |
+
"clip_ratio/low_mean": 0.0,
|
| 258 |
+
"clip_ratio/low_min": 0.0,
|
| 259 |
+
"clip_ratio/region_mean": 0.0,
|
| 260 |
+
"completions/clipped_ratio": 0.16796875,
|
| 261 |
+
"completions/max_length": 2048.0,
|
| 262 |
+
"completions/mean_length": 786.41796875,
|
| 263 |
+
"completions/min_length": 69.0,
|
| 264 |
+
"epoch": 0.10625,
|
| 265 |
+
"frac_reward_zero_std": 0.1875,
|
| 266 |
+
"grad_norm": 2.9695669766272097,
|
| 267 |
+
"kl": 0.0035189003974664956,
|
| 268 |
+
"learning_rate": 9.852837598553008e-07,
|
| 269 |
+
"loss": 3.520381142152473e-05,
|
| 270 |
+
"reward": 0.39453125,
|
| 271 |
+
"reward_std": 0.38452082872390747,
|
| 272 |
+
"rewards/MajorityAccuracy/mean": 0.39453125,
|
| 273 |
+
"rewards/MajorityAccuracy/std": 0.48970717191696167,
|
| 274 |
+
"step": 17,
|
| 275 |
+
"step_time": 186.2571491827257
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"clip_ratio/high_max": 0.005008636566344649,
|
| 279 |
+
"clip_ratio/high_mean": 0.001444064822862856,
|
| 280 |
+
"clip_ratio/low_mean": 0.0006362867425195873,
|
| 281 |
+
"clip_ratio/low_min": 0.0,
|
| 282 |
+
"clip_ratio/region_mean": 0.0020803515653824434,
|
| 283 |
+
"epoch": 0.1125,
|
| 284 |
+
"grad_norm": 2.653704609686447,
|
| 285 |
+
"kl": 0.005142666457686573,
|
| 286 |
+
"learning_rate": 9.827436479993468e-07,
|
| 287 |
+
"loss": 0.0001991681638173759,
|
| 288 |
+
"step": 18,
|
| 289 |
+
"step_time": 22.301514303777367
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"clip_ratio/high_max": 0.0014190509682521224,
|
| 293 |
+
"clip_ratio/high_mean": 0.00047585214633727446,
|
| 294 |
+
"clip_ratio/low_mean": 0.0004369059024611488,
|
| 295 |
+
"clip_ratio/low_min": 0.0,
|
| 296 |
+
"clip_ratio/region_mean": 0.0009127580633503385,
|
| 297 |
+
"epoch": 0.11875,
|
| 298 |
+
"grad_norm": 3.7798398787235894,
|
| 299 |
+
"kl": 0.0016869497048901394,
|
| 300 |
+
"learning_rate": 9.800052291411629e-07,
|
| 301 |
+
"loss": 0.00021358951926231384,
|
| 302 |
+
"step": 19,
|
| 303 |
+
"step_time": 25.074343358632177
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"clip_ratio/high_max": 0.00440728290413972,
|
| 307 |
+
"clip_ratio/high_mean": 0.001516119980806252,
|
| 308 |
+
"clip_ratio/low_mean": 0.002492468775017187,
|
| 309 |
+
"clip_ratio/low_min": 0.0,
|
| 310 |
+
"clip_ratio/region_mean": 0.004008588701253757,
|
| 311 |
+
"epoch": 0.125,
|
| 312 |
+
"grad_norm": 3.4051807389869904,
|
| 313 |
+
"kl": 0.004340318351751193,
|
| 314 |
+
"learning_rate": 9.770696282000244e-07,
|
| 315 |
+
"loss": -0.0003863181918859482,
|
| 316 |
+
"step": 20,
|
| 317 |
+
"step_time": 22.834592283237725
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"clip_ratio/high_max": 0.0029197628755355254,
|
| 321 |
+
"clip_ratio/high_mean": 0.0009312015354225878,
|
| 322 |
+
"clip_ratio/low_mean": 0.0034656945354072377,
|
| 323 |
+
"clip_ratio/low_min": 0.0,
|
| 324 |
+
"clip_ratio/region_mean": 0.004396896038088016,
|
| 325 |
+
"epoch": 0.13125,
|
| 326 |
+
"grad_norm": 3.093743771418617,
|
| 327 |
+
"kl": 0.0030462023278232664,
|
| 328 |
+
"learning_rate": 9.739380510959364e-07,
|
| 329 |
+
"loss": 0.0012196926400065422,
|
| 330 |
+
"step": 21,
|
| 331 |
+
"step_time": 23.863958075642586
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"clip_ratio/high_max": 0.009527715243166313,
|
| 335 |
+
"clip_ratio/high_mean": 0.002934813433967065,
|
| 336 |
+
"clip_ratio/low_mean": 0.002745470017543994,
|
| 337 |
+
"clip_ratio/low_min": 0.0,
|
| 338 |
+
"clip_ratio/region_mean": 0.005680283480614889,
|
| 339 |
+
"epoch": 0.1375,
|
| 340 |
+
"grad_norm": 4.734479455372366,
|
| 341 |
+
"kl": 0.006584627495612949,
|
| 342 |
+
"learning_rate": 9.706117842542516e-07,
|
| 343 |
+
"loss": 0.001471108989790082,
|
| 344 |
+
"step": 22,
|
| 345 |
+
"step_time": 25.183104823343456
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"clip_ratio/high_max": 0.012676748818194028,
|
| 349 |
+
"clip_ratio/high_mean": 0.0035877792670362396,
|
| 350 |
+
"clip_ratio/low_mean": 0.0024882884627004387,
|
| 351 |
+
"clip_ratio/low_min": 0.0,
|
| 352 |
+
"clip_ratio/region_mean": 0.006076067918911576,
|
| 353 |
+
"epoch": 0.14375,
|
| 354 |
+
"grad_norm": 3.335872611035554,
|
| 355 |
+
"kl": 0.009207222203258425,
|
| 356 |
+
"learning_rate": 9.670921940772186e-07,
|
| 357 |
+
"loss": 0.0009351514745503664,
|
| 358 |
+
"step": 23,
|
| 359 |
+
"step_time": 24.859260324854404
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"clip_ratio/high_max": 0.005917194532230496,
|
| 363 |
+
"clip_ratio/high_mean": 0.002258967491798103,
|
| 364 |
+
"clip_ratio/low_mean": 0.003973491577198729,
|
| 365 |
+
"clip_ratio/low_min": 0.0,
|
| 366 |
+
"clip_ratio/region_mean": 0.00623245898168534,
|
| 367 |
+
"epoch": 0.15,
|
| 368 |
+
"grad_norm": 2.8844255239753775,
|
| 369 |
+
"kl": 0.0052262264071032405,
|
| 370 |
+
"learning_rate": 9.633807263826744e-07,
|
| 371 |
+
"loss": 0.0007897454779595137,
|
| 372 |
+
"step": 24,
|
| 373 |
+
"step_time": 25.733215983957052
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"clip_ratio/high_max": 0.0,
|
| 377 |
+
"clip_ratio/high_mean": 0.0,
|
| 378 |
+
"clip_ratio/low_mean": 0.0,
|
| 379 |
+
"clip_ratio/low_min": 0.0,
|
| 380 |
+
"clip_ratio/region_mean": 0.0,
|
| 381 |
+
"completions/clipped_ratio": 0.29296875,
|
| 382 |
+
"completions/max_length": 2048.0,
|
| 383 |
+
"completions/mean_length": 988.9296875,
|
| 384 |
+
"completions/min_length": 92.0,
|
| 385 |
+
"epoch": 0.15625,
|
| 386 |
+
"frac_reward_zero_std": 0.46875,
|
| 387 |
+
"grad_norm": 2.0977308705503055,
|
| 388 |
+
"kl": 0.012442333449143916,
|
| 389 |
+
"learning_rate": 9.594789058101153e-07,
|
| 390 |
+
"loss": 0.00012443313607946038,
|
| 391 |
+
"reward": 0.30078125,
|
| 392 |
+
"reward_std": 0.23448193073272705,
|
| 393 |
+
"rewards/MajorityAccuracy/mean": 0.30078125,
|
| 394 |
+
"rewards/MajorityAccuracy/std": 0.45949608087539673,
|
| 395 |
+
"step": 25,
|
| 396 |
+
"step_time": 185.2216110904701
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"clip_ratio/high_max": 0.0004290042706998065,
|
| 400 |
+
"clip_ratio/high_mean": 0.00010725106767495163,
|
| 401 |
+
"clip_ratio/low_mean": 8.82896529219579e-05,
|
| 402 |
+
"clip_ratio/low_min": 0.0,
|
| 403 |
+
"clip_ratio/region_mean": 0.00019554072059690952,
|
| 404 |
+
"epoch": 0.1625,
|
| 405 |
+
"grad_norm": 0.827302182703035,
|
| 406 |
+
"kl": 0.0036683852085843682,
|
| 407 |
+
"learning_rate": 9.55388335194388e-07,
|
| 408 |
+
"loss": 4.549291043076664e-05,
|
| 409 |
+
"step": 26,
|
| 410 |
+
"step_time": 24.834097729995847
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"clip_ratio/high_max": 0.003604056269978173,
|
| 414 |
+
"clip_ratio/high_mean": 0.0009229285242327023,
|
| 415 |
+
"clip_ratio/low_mean": 0.0021996050199959427,
|
| 416 |
+
"clip_ratio/low_min": 0.0,
|
| 417 |
+
"clip_ratio/region_mean": 0.003122533526038751,
|
| 418 |
+
"epoch": 0.16875,
|
| 419 |
+
"grad_norm": 3.589412355754882,
|
| 420 |
+
"kl": 0.010003720468375832,
|
| 421 |
+
"learning_rate": 9.511106949072587e-07,
|
| 422 |
+
"loss": -0.0001631148043088615,
|
| 423 |
+
"step": 27,
|
| 424 |
+
"step_time": 23.916061274707317
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"clip_ratio/high_max": 0.001789596804883331,
|
| 428 |
+
"clip_ratio/high_mean": 0.00044739920122083277,
|
| 429 |
+
"clip_ratio/low_mean": 0.0015249323587340768,
|
| 430 |
+
"clip_ratio/low_min": 0.0,
|
| 431 |
+
"clip_ratio/region_mean": 0.001972331574506825,
|
| 432 |
+
"epoch": 0.175,
|
| 433 |
+
"grad_norm": 1.6782913211446884,
|
| 434 |
+
"kl": 0.010726599430199713,
|
| 435 |
+
"learning_rate": 9.466477421671295e-07,
|
| 436 |
+
"loss": 0.0001096634950954467,
|
| 437 |
+
"step": 28,
|
| 438 |
+
"step_time": 23.473962317220867
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"clip_ratio/high_max": 0.004004015354439616,
|
| 442 |
+
"clip_ratio/high_mean": 0.001001003838609904,
|
| 443 |
+
"clip_ratio/low_mean": 0.0019055970187764615,
|
| 444 |
+
"clip_ratio/low_min": 0.0,
|
| 445 |
+
"clip_ratio/region_mean": 0.0029066008719382808,
|
| 446 |
+
"epoch": 0.18125,
|
| 447 |
+
"grad_norm": 2.5778030588389576,
|
| 448 |
+
"kl": 0.00763463374460116,
|
| 449 |
+
"learning_rate": 9.420013103171891e-07,
|
| 450 |
+
"loss": -0.00012707406131085008,
|
| 451 |
+
"step": 29,
|
| 452 |
+
"step_time": 25.383742638397962
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"clip_ratio/high_max": 0.0029850982245989144,
|
| 456 |
+
"clip_ratio/high_mean": 0.0008239143062382936,
|
| 457 |
+
"clip_ratio/low_mean": 0.001306454447330907,
|
| 458 |
+
"clip_ratio/low_min": 0.0,
|
| 459 |
+
"clip_ratio/region_mean": 0.0021303687535692006,
|
| 460 |
+
"epoch": 0.1875,
|
| 461 |
+
"grad_norm": 3.2085692493390017,
|
| 462 |
+
"kl": 0.010627174691762775,
|
| 463 |
+
"learning_rate": 9.37173308072291e-07,
|
| 464 |
+
"loss": 0.0004268418997526169,
|
| 465 |
+
"step": 30,
|
| 466 |
+
"step_time": 25.078937562648207
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"clip_ratio/high_max": 0.010435085219796747,
|
| 470 |
+
"clip_ratio/high_mean": 0.0035299423325341195,
|
| 471 |
+
"clip_ratio/low_mean": 0.0006730739769409411,
|
| 472 |
+
"clip_ratio/low_min": 0.0,
|
| 473 |
+
"clip_ratio/region_mean": 0.004203016374958679,
|
| 474 |
+
"epoch": 0.19375,
|
| 475 |
+
"grad_norm": 2.7599118175538973,
|
| 476 |
+
"kl": 0.0064775291248224676,
|
| 477 |
+
"learning_rate": 9.321657187348688e-07,
|
| 478 |
+
"loss": 0.00047630106564611197,
|
| 479 |
+
"step": 31,
|
| 480 |
+
"step_time": 25.35646535549313
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"clip_ratio/high_max": 0.003314020170364529,
|
| 484 |
+
"clip_ratio/high_mean": 0.0008285050425911322,
|
| 485 |
+
"clip_ratio/low_mean": 0.0020031664898851886,
|
| 486 |
+
"clip_ratio/low_min": 0.0,
|
| 487 |
+
"clip_ratio/region_mean": 0.002831671547028236,
|
| 488 |
+
"epoch": 0.2,
|
| 489 |
+
"grad_norm": 1.7039664620562431,
|
| 490 |
+
"kl": 0.005384603573475033,
|
| 491 |
+
"learning_rate": 9.269805993802128e-07,
|
| 492 |
+
"loss": 0.0002461112744640559,
|
| 493 |
+
"step": 32,
|
| 494 |
+
"step_time": 25.37204045150429
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"clip_ratio/high_max": 0.0,
|
| 498 |
+
"clip_ratio/high_mean": 0.0,
|
| 499 |
+
"clip_ratio/low_mean": 0.0,
|
| 500 |
+
"clip_ratio/low_min": 0.0,
|
| 501 |
+
"clip_ratio/region_mean": 0.0,
|
| 502 |
+
"completions/clipped_ratio": 0.2265625,
|
| 503 |
+
"completions/max_length": 2048.0,
|
| 504 |
+
"completions/mean_length": 910.87890625,
|
| 505 |
+
"completions/min_length": 50.0,
|
| 506 |
+
"epoch": 0.20625,
|
| 507 |
+
"frac_reward_zero_std": 0.25,
|
| 508 |
+
"grad_norm": 3.4000029412906305,
|
| 509 |
+
"kl": 0.018373101600445807,
|
| 510 |
+
"learning_rate": 9.216200800114411e-07,
|
| 511 |
+
"loss": 0.00018377981905359775,
|
| 512 |
+
"reward": 0.33984375,
|
| 513 |
+
"reward_std": 0.34021925926208496,
|
| 514 |
+
"rewards/MajorityAccuracy/mean": 0.33984375,
|
| 515 |
+
"rewards/MajorityAccuracy/std": 0.47458380460739136,
|
| 516 |
+
"step": 33,
|
| 517 |
+
"step_time": 185.9811329236254
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"clip_ratio/high_max": 0.0031544132507406175,
|
| 521 |
+
"clip_ratio/high_mean": 0.001348100442555733,
|
| 522 |
+
"clip_ratio/low_mean": 0.0009318665252067149,
|
| 523 |
+
"clip_ratio/low_min": 0.0,
|
| 524 |
+
"clip_ratio/region_mean": 0.002279966967762448,
|
| 525 |
+
"epoch": 0.2125,
|
| 526 |
+
"grad_norm": 2.7181148331332845,
|
| 527 |
+
"kl": 0.0103240484604612,
|
| 528 |
+
"learning_rate": 9.160863626845119e-07,
|
| 529 |
+
"loss": 0.00018270686268806458,
|
| 530 |
+
"step": 34,
|
| 531 |
+
"step_time": 23.386239951942116
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"clip_ratio/high_max": 0.00040453075780533254,
|
| 535 |
+
"clip_ratio/high_mean": 0.00010113268945133314,
|
| 536 |
+
"clip_ratio/low_mean": 0.0004365187578514451,
|
| 537 |
+
"clip_ratio/low_min": 0.0,
|
| 538 |
+
"clip_ratio/region_mean": 0.0005376514473027783,
|
| 539 |
+
"epoch": 0.21875,
|
| 540 |
+
"grad_norm": 1.45090984604168,
|
| 541 |
+
"kl": 0.00425730599090457,
|
| 542 |
+
"learning_rate": 9.103817206036382e-07,
|
| 543 |
+
"loss": 0.00012768285523634404,
|
| 544 |
+
"step": 35,
|
| 545 |
+
"step_time": 24.81424072291702
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"clip_ratio/high_max": 0.005089230267913081,
|
| 549 |
+
"clip_ratio/high_mean": 0.0017867508722702041,
|
| 550 |
+
"clip_ratio/low_mean": 0.0007586584179080091,
|
| 551 |
+
"clip_ratio/low_min": 0.0,
|
| 552 |
+
"clip_ratio/region_mean": 0.0025454092101426795,
|
| 553 |
+
"epoch": 0.225,
|
| 554 |
+
"grad_norm": 2.4337148292828443,
|
| 555 |
+
"kl": 0.0070523262256756425,
|
| 556 |
+
"learning_rate": 9.045084971874737e-07,
|
| 557 |
+
"loss": 9.255483746528625e-05,
|
| 558 |
+
"step": 36,
|
| 559 |
+
"step_time": 24.69577978691086
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"clip_ratio/high_max": 0.006382683961419389,
|
| 563 |
+
"clip_ratio/high_mean": 0.0018963671755045652,
|
| 564 |
+
"clip_ratio/low_mean": 0.0012447314002201892,
|
| 565 |
+
"clip_ratio/low_min": 0.0,
|
| 566 |
+
"clip_ratio/region_mean": 0.0031410985393449664,
|
| 567 |
+
"epoch": 0.23125,
|
| 568 |
+
"grad_norm": 1.7567678196798906,
|
| 569 |
+
"kl": 0.006672150979284197,
|
| 570 |
+
"learning_rate": 8.984691051064574e-07,
|
| 571 |
+
"loss": -0.00013057453907094896,
|
| 572 |
+
"step": 37,
|
| 573 |
+
"step_time": 25.178669043350965
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"clip_ratio/high_max": 0.006654171316768043,
|
| 577 |
+
"clip_ratio/high_mean": 0.0019890747316821944,
|
| 578 |
+
"clip_ratio/low_mean": 0.002192627711337991,
|
| 579 |
+
"clip_ratio/low_min": 0.0,
|
| 580 |
+
"clip_ratio/region_mean": 0.0041817024612100795,
|
| 581 |
+
"epoch": 0.2375,
|
| 582 |
+
"grad_norm": 2.720866407452676,
|
| 583 |
+
"kl": 0.010978317528497428,
|
| 584 |
+
"learning_rate": 8.922660252917087e-07,
|
| 585 |
+
"loss": 0.0005555209936574101,
|
| 586 |
+
"step": 38,
|
| 587 |
+
"step_time": 24.057694994378835
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"clip_ratio/high_max": 0.019480244780424982,
|
| 591 |
+
"clip_ratio/high_mean": 0.006209476006915793,
|
| 592 |
+
"clip_ratio/low_mean": 0.002257349329738645,
|
| 593 |
+
"clip_ratio/low_min": 0.0,
|
| 594 |
+
"clip_ratio/region_mean": 0.008466825413051993,
|
| 595 |
+
"epoch": 0.24375,
|
| 596 |
+
"grad_norm": 4.69235662645644,
|
| 597 |
+
"kl": 0.008467482984997332,
|
| 598 |
+
"learning_rate": 8.859018059158809e-07,
|
| 599 |
+
"loss": 0.0009746319847181439,
|
| 600 |
+
"step": 39,
|
| 601 |
+
"step_time": 24.741801417898387
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"clip_ratio/high_max": 0.005690045072697103,
|
| 605 |
+
"clip_ratio/high_mean": 0.0015903716121101752,
|
| 606 |
+
"clip_ratio/low_mean": 0.004083418287336826,
|
| 607 |
+
"clip_ratio/low_min": 0.0004252542566973716,
|
| 608 |
+
"clip_ratio/region_mean": 0.005673789826687425,
|
| 609 |
+
"epoch": 0.25,
|
| 610 |
+
"grad_norm": 2.2919567535316037,
|
| 611 |
+
"kl": 0.008572620630729944,
|
| 612 |
+
"learning_rate": 8.793790613463954e-07,
|
| 613 |
+
"loss": 0.000280626118183136,
|
| 614 |
+
"step": 40,
|
| 615 |
+
"step_time": 24.743270099163055
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"clip_ratio/high_max": 0.0,
|
| 619 |
+
"clip_ratio/high_mean": 0.0,
|
| 620 |
+
"clip_ratio/low_mean": 0.0,
|
| 621 |
+
"clip_ratio/low_min": 0.0,
|
| 622 |
+
"clip_ratio/region_mean": 0.0,
|
| 623 |
+
"completions/clipped_ratio": 0.234375,
|
| 624 |
+
"completions/max_length": 2048.0,
|
| 625 |
+
"completions/mean_length": 985.21484375,
|
| 626 |
+
"completions/min_length": 65.0,
|
| 627 |
+
"epoch": 0.25625,
|
| 628 |
+
"frac_reward_zero_std": 0.375,
|
| 629 |
+
"grad_norm": 1.0287173072294307,
|
| 630 |
+
"kl": 0.003862341429339722,
|
| 631 |
+
"learning_rate": 8.727004710714798e-07,
|
| 632 |
+
"loss": 3.865889084408991e-05,
|
| 633 |
+
"reward": 0.26171875,
|
| 634 |
+
"reward_std": 0.29944002628326416,
|
| 635 |
+
"rewards/MajorityAccuracy/mean": 0.26171875,
|
| 636 |
+
"rewards/MajorityAccuracy/std": 0.4404313564300537,
|
| 637 |
+
"step": 41,
|
| 638 |
+
"step_time": 185.49576449766755
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"clip_ratio/high_max": 0.0009976277069654316,
|
| 642 |
+
"clip_ratio/high_mean": 0.00027974673139397055,
|
| 643 |
+
"clip_ratio/low_mean": 0.00010668823415471707,
|
| 644 |
+
"clip_ratio/low_min": 0.0,
|
| 645 |
+
"clip_ratio/region_mean": 0.0003864349655486876,
|
| 646 |
+
"epoch": 0.2625,
|
| 647 |
+
"grad_norm": 1.385565354037175,
|
| 648 |
+
"kl": 0.019892863696441054,
|
| 649 |
+
"learning_rate": 8.658687785994578e-07,
|
| 650 |
+
"loss": 0.00017663283506408334,
|
| 651 |
+
"step": 42,
|
| 652 |
+
"step_time": 23.76611733622849
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"clip_ratio/high_max": 0.0011721307528205216,
|
| 656 |
+
"clip_ratio/high_mean": 0.00031791325818630867,
|
| 657 |
+
"clip_ratio/low_mean": 0.0002300666892551817,
|
| 658 |
+
"clip_ratio/low_min": 0.0,
|
| 659 |
+
"clip_ratio/region_mean": 0.0005479799474414904,
|
| 660 |
+
"epoch": 0.26875,
|
| 661 |
+
"grad_norm": 0.9911350019854345,
|
| 662 |
+
"kl": 0.004422976140631363,
|
| 663 |
+
"learning_rate": 8.588867903317394e-07,
|
| 664 |
+
"loss": 0.0001597576920175925,
|
| 665 |
+
"step": 43,
|
| 666 |
+
"step_time": 25.020751000382006
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"clip_ratio/high_max": 0.0032965086720651016,
|
| 670 |
+
"clip_ratio/high_mean": 0.0009344963582407217,
|
| 671 |
+
"clip_ratio/low_mean": 0.0011881193131557666,
|
| 672 |
+
"clip_ratio/low_min": 0.0,
|
| 673 |
+
"clip_ratio/region_mean": 0.00212261569686234,
|
| 674 |
+
"epoch": 0.275,
|
| 675 |
+
"grad_norm": 2.2698658706490003,
|
| 676 |
+
"kl": 0.012168462271802127,
|
| 677 |
+
"learning_rate": 8.51757374409974e-07,
|
| 678 |
+
"loss": -3.901873424183577e-05,
|
| 679 |
+
"step": 44,
|
| 680 |
+
"step_time": 23.002621789928526
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"clip_ratio/high_max": 0.0031367281917482615,
|
| 684 |
+
"clip_ratio/high_mean": 0.0007841820479370654,
|
| 685 |
+
"clip_ratio/low_mean": 0.0016289429040625691,
|
| 686 |
+
"clip_ratio/low_min": 0.0,
|
| 687 |
+
"clip_ratio/region_mean": 0.0024131249519996345,
|
| 688 |
+
"epoch": 0.28125,
|
| 689 |
+
"grad_norm": 2.104190085190714,
|
| 690 |
+
"kl": 0.029130531009286642,
|
| 691 |
+
"learning_rate": 8.444834595378433e-07,
|
| 692 |
+
"loss": 0.0006130897090770304,
|
| 693 |
+
"step": 45,
|
| 694 |
+
"step_time": 23.23925462551415
|
| 695 |
+
},
|
| 696 |
+
{
|
| 697 |
+
"clip_ratio/high_max": 0.0034685512946452945,
|
| 698 |
+
"clip_ratio/high_mean": 0.0008968997353804298,
|
| 699 |
+
"clip_ratio/low_mean": 0.0014313349493022542,
|
| 700 |
+
"clip_ratio/low_min": 0.0,
|
| 701 |
+
"clip_ratio/region_mean": 0.0023282346373889595,
|
| 702 |
+
"epoch": 0.2875,
|
| 703 |
+
"grad_norm": 2.132889608494028,
|
| 704 |
+
"kl": 0.0076728290296159685,
|
| 705 |
+
"learning_rate": 8.370680337779736e-07,
|
| 706 |
+
"loss": -8.6526561062783e-05,
|
| 707 |
+
"step": 46,
|
| 708 |
+
"step_time": 24.98702518036589
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"clip_ratio/high_max": 0.0022523720981553197,
|
| 712 |
+
"clip_ratio/high_mean": 0.0007239410479087383,
|
| 713 |
+
"clip_ratio/low_mean": 0.0013540414947783574,
|
| 714 |
+
"clip_ratio/low_min": 0.0,
|
| 715 |
+
"clip_ratio/region_mean": 0.0020779825426870957,
|
| 716 |
+
"epoch": 0.29375,
|
| 717 |
+
"grad_norm": 1.5820475242792866,
|
| 718 |
+
"kl": 0.00704644963843748,
|
| 719 |
+
"learning_rate": 8.295141433244659e-07,
|
| 720 |
+
"loss": -7.381418254226446e-05,
|
| 721 |
+
"step": 47,
|
| 722 |
+
"step_time": 24.67927945777774
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"clip_ratio/high_max": 0.006754414760507643,
|
| 726 |
+
"clip_ratio/high_mean": 0.002449051185976714,
|
| 727 |
+
"clip_ratio/low_mean": 0.005714948434615508,
|
| 728 |
+
"clip_ratio/low_min": 0.00054931640625,
|
| 729 |
+
"clip_ratio/region_mean": 0.008163999649696052,
|
| 730 |
+
"epoch": 0.3,
|
| 731 |
+
"grad_norm": 3.8016304462391193,
|
| 732 |
+
"kl": 0.01264659536536783,
|
| 733 |
+
"learning_rate": 8.218248912515442e-07,
|
| 734 |
+
"loss": 0.002414829097688198,
|
| 735 |
+
"step": 48,
|
| 736 |
+
"step_time": 24.341566421091557
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"clip_ratio/high_max": 0.0,
|
| 740 |
+
"clip_ratio/high_mean": 0.0,
|
| 741 |
+
"clip_ratio/low_mean": 0.0,
|
| 742 |
+
"clip_ratio/low_min": 0.0,
|
| 743 |
+
"clip_ratio/region_mean": 0.0,
|
| 744 |
+
"completions/clipped_ratio": 0.24609375,
|
| 745 |
+
"completions/max_length": 2048.0,
|
| 746 |
+
"completions/mean_length": 978.18359375,
|
| 747 |
+
"completions/min_length": 66.0,
|
| 748 |
+
"epoch": 0.30625,
|
| 749 |
+
"frac_reward_zero_std": 0.34375,
|
| 750 |
+
"grad_norm": 2.2024711306246485,
|
| 751 |
+
"kl": 0.009075262874830514,
|
| 752 |
+
"learning_rate": 8.140034362388397e-07,
|
| 753 |
+
"loss": 9.077224240172654e-05,
|
| 754 |
+
"reward": 0.3125,
|
| 755 |
+
"reward_std": 0.30141592025756836,
|
| 756 |
+
"rewards/MajorityAccuracy/mean": 0.3125,
|
| 757 |
+
"rewards/MajorityAccuracy/std": 0.4644203782081604,
|
| 758 |
+
"step": 49,
|
| 759 |
+
"step_time": 186.0726659167558
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"clip_ratio/high_max": 0.004707420084741898,
|
| 763 |
+
"clip_ratio/high_mean": 0.0013205147588450927,
|
| 764 |
+
"clip_ratio/low_mean": 0.00040804919626680203,
|
| 765 |
+
"clip_ratio/low_min": 0.0,
|
| 766 |
+
"clip_ratio/region_mean": 0.0017285639441979583,
|
| 767 |
+
"epoch": 0.3125,
|
| 768 |
+
"grad_norm": 3.2112321559783426,
|
| 769 |
+
"kl": 0.014715113793499768,
|
| 770 |
+
"learning_rate": 8.060529912738314e-07,
|
| 771 |
+
"loss": 3.467453643679619e-05,
|
| 772 |
+
"step": 50,
|
| 773 |
+
"step_time": 24.227659524418414
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"clip_ratio/high_max": 0.004089088994078338,
|
| 777 |
+
"clip_ratio/high_mean": 0.0012698395585175604,
|
| 778 |
+
"clip_ratio/low_mean": 0.00026257444733346347,
|
| 779 |
+
"clip_ratio/low_min": 0.0,
|
| 780 |
+
"clip_ratio/region_mean": 0.001532414011307992,
|
| 781 |
+
"epoch": 0.31875,
|
| 782 |
+
"grad_norm": 5.03176957379202,
|
| 783 |
+
"kl": 0.013905421597883105,
|
| 784 |
+
"learning_rate": 7.979768223319785e-07,
|
| 785 |
+
"loss": 0.00033030749182216823,
|
| 786 |
+
"step": 51,
|
| 787 |
+
"step_time": 23.92098210658878
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"clip_ratio/high_max": 0.0029202808218542486,
|
| 791 |
+
"clip_ratio/high_mean": 0.0008936827725847252,
|
| 792 |
+
"clip_ratio/low_mean": 0.00108789699152112,
|
| 793 |
+
"clip_ratio/low_min": 0.0,
|
| 794 |
+
"clip_ratio/region_mean": 0.001981579807761591,
|
| 795 |
+
"epoch": 0.325,
|
| 796 |
+
"grad_norm": 2.566194665741442,
|
| 797 |
+
"kl": 0.012587467150297016,
|
| 798 |
+
"learning_rate": 7.897782470350849e-07,
|
| 799 |
+
"loss": -3.842161095235497e-05,
|
| 800 |
+
"step": 52,
|
| 801 |
+
"step_time": 24.970363825093955
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"clip_ratio/high_max": 0.001931259612319991,
|
| 805 |
+
"clip_ratio/high_mean": 0.00048281490307999775,
|
| 806 |
+
"clip_ratio/low_mean": 0.0007483760418836027,
|
| 807 |
+
"clip_ratio/low_min": 0.0,
|
| 808 |
+
"clip_ratio/region_mean": 0.0012311909595155157,
|
| 809 |
+
"epoch": 0.33125,
|
| 810 |
+
"grad_norm": 2.0730319182049373,
|
| 811 |
+
"kl": 0.007133064849767834,
|
| 812 |
+
"learning_rate": 7.814606332884488e-07,
|
| 813 |
+
"loss": -9.978427260648459e-05,
|
| 814 |
+
"step": 53,
|
| 815 |
+
"step_time": 26.087400309275836
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"clip_ratio/high_max": 0.020377097396703903,
|
| 819 |
+
"clip_ratio/high_mean": 0.006483763741925941,
|
| 820 |
+
"clip_ratio/low_mean": 0.003176409052684903,
|
| 821 |
+
"clip_ratio/low_min": 0.0,
|
| 822 |
+
"clip_ratio/region_mean": 0.00966017271275632,
|
| 823 |
+
"epoch": 0.3375,
|
| 824 |
+
"grad_norm": 2.940687172682488,
|
| 825 |
+
"kl": 0.031105898320674896,
|
| 826 |
+
"learning_rate": 7.730273978973552e-07,
|
| 827 |
+
"loss": 0.002576085738837719,
|
| 828 |
+
"step": 54,
|
| 829 |
+
"step_time": 24.78940772730857
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"clip_ratio/high_max": 0.012894722574856132,
|
| 833 |
+
"clip_ratio/high_mean": 0.0042358491773484275,
|
| 834 |
+
"clip_ratio/low_mean": 0.002268853015266359,
|
| 835 |
+
"clip_ratio/low_min": 0.0,
|
| 836 |
+
"clip_ratio/region_mean": 0.006504702148959041,
|
| 837 |
+
"epoch": 0.34375,
|
| 838 |
+
"grad_norm": 4.207529639933832,
|
| 839 |
+
"kl": 0.014494398143142462,
|
| 840 |
+
"learning_rate": 7.644820051634812e-07,
|
| 841 |
+
"loss": 0.0009966231882572174,
|
| 842 |
+
"step": 55,
|
| 843 |
+
"step_time": 23.693179208785295
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"clip_ratio/high_max": 0.008024955342989415,
|
| 847 |
+
"clip_ratio/high_mean": 0.0020062388357473537,
|
| 848 |
+
"clip_ratio/low_mean": 0.0015158068381424528,
|
| 849 |
+
"clip_ratio/low_min": 0.0,
|
| 850 |
+
"clip_ratio/region_mean": 0.003522045699355658,
|
| 851 |
+
"epoch": 0.35,
|
| 852 |
+
"grad_norm": 3.233838059596785,
|
| 853 |
+
"kl": 0.008750205277465284,
|
| 854 |
+
"learning_rate": 7.558279654617912e-07,
|
| 855 |
+
"loss": 0.00035623746225610375,
|
| 856 |
+
"step": 56,
|
| 857 |
+
"step_time": 24.613843394909054
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"clip_ratio/high_max": 0.0,
|
| 861 |
+
"clip_ratio/high_mean": 0.0,
|
| 862 |
+
"clip_ratio/low_mean": 0.0,
|
| 863 |
+
"clip_ratio/low_min": 0.0,
|
| 864 |
+
"clip_ratio/region_mean": 0.0,
|
| 865 |
+
"completions/clipped_ratio": 0.21484375,
|
| 866 |
+
"completions/max_length": 2048.0,
|
| 867 |
+
"completions/mean_length": 853.4375,
|
| 868 |
+
"completions/min_length": 73.0,
|
| 869 |
+
"epoch": 0.35625,
|
| 870 |
+
"frac_reward_zero_std": 0.25,
|
| 871 |
+
"grad_norm": 4.62497313007244,
|
| 872 |
+
"kl": 0.012768905377015471,
|
| 873 |
+
"learning_rate": 7.470688337985029e-07,
|
| 874 |
+
"loss": 0.00012767687439918518,
|
| 875 |
+
"reward": 0.453125,
|
| 876 |
+
"reward_std": 0.34770071506500244,
|
| 877 |
+
"rewards/MajorityAccuracy/mean": 0.453125,
|
| 878 |
+
"rewards/MajorityAccuracy/std": 0.4987730085849762,
|
| 879 |
+
"step": 57,
|
| 880 |
+
"step_time": 185.70756297791377
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"clip_ratio/high_max": 0.003896840615198016,
|
| 884 |
+
"clip_ratio/high_mean": 0.000974210153799504,
|
| 885 |
+
"clip_ratio/low_mean": 0.00048634782251610886,
|
| 886 |
+
"clip_ratio/low_min": 0.0,
|
| 887 |
+
"clip_ratio/region_mean": 0.0014605579781346023,
|
| 888 |
+
"epoch": 0.3625,
|
| 889 |
+
"grad_norm": 3.897141513273689,
|
| 890 |
+
"kl": 0.0081084119156003,
|
| 891 |
+
"learning_rate": 7.382082083507225e-07,
|
| 892 |
+
"loss": -0.00015269707364495844,
|
| 893 |
+
"step": 58,
|
| 894 |
+
"step_time": 24.009666742756963
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"clip_ratio/high_max": 0.004025017282401677,
|
| 898 |
+
"clip_ratio/high_mean": 0.0010629368171066744,
|
| 899 |
+
"clip_ratio/low_mean": 0.0006004366696288344,
|
| 900 |
+
"clip_ratio/low_min": 0.0,
|
| 901 |
+
"clip_ratio/region_mean": 0.001663373519477318,
|
| 902 |
+
"epoch": 0.36875,
|
| 903 |
+
"grad_norm": 3.4272488870680053,
|
| 904 |
+
"kl": 0.012271420389879495,
|
| 905 |
+
"learning_rate": 7.292497289883432e-07,
|
| 906 |
+
"loss": 0.0004984453553333879,
|
| 907 |
+
"step": 59,
|
| 908 |
+
"step_time": 24.927320430520922
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"clip_ratio/high_max": 0.0018005116726271808,
|
| 912 |
+
"clip_ratio/high_mean": 0.0005179151121410541,
|
| 913 |
+
"clip_ratio/low_mean": 0.0012776018120348454,
|
| 914 |
+
"clip_ratio/low_min": 0.0,
|
| 915 |
+
"clip_ratio/region_mean": 0.0017955169241758995,
|
| 916 |
+
"epoch": 0.375,
|
| 917 |
+
"grad_norm": 2.4424434244375584,
|
| 918 |
+
"kl": 0.010324264701921493,
|
| 919 |
+
"learning_rate": 7.201970757788171e-07,
|
| 920 |
+
"loss": 0.00010644421854522079,
|
| 921 |
+
"step": 60,
|
| 922 |
+
"step_time": 25.176113487686962
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"clip_ratio/high_max": 0.0051833186007570475,
|
| 926 |
+
"clip_ratio/high_mean": 0.001725112677377183,
|
| 927 |
+
"clip_ratio/low_mean": 0.0011462995680631138,
|
| 928 |
+
"clip_ratio/low_min": 0.0,
|
| 929 |
+
"clip_ratio/region_mean": 0.002871412245440297,
|
| 930 |
+
"epoch": 0.38125,
|
| 931 |
+
"grad_norm": 3.328105663301918,
|
| 932 |
+
"kl": 0.015592740848660469,
|
| 933 |
+
"learning_rate": 7.110539674754159e-07,
|
| 934 |
+
"loss": 0.0011947103776037693,
|
| 935 |
+
"step": 61,
|
| 936 |
+
"step_time": 23.76721590338275
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"clip_ratio/high_max": 0.00750837211671751,
|
| 940 |
+
"clip_ratio/high_mean": 0.0018770930291793775,
|
| 941 |
+
"clip_ratio/low_mean": 0.0026473012985661626,
|
| 942 |
+
"clip_ratio/low_min": 0.0,
|
| 943 |
+
"clip_ratio/region_mean": 0.004524394404143095,
|
| 944 |
+
"epoch": 0.3875,
|
| 945 |
+
"grad_norm": 4.6739133550372225,
|
| 946 |
+
"kl": 0.03352465410716832,
|
| 947 |
+
"learning_rate": 7.018241599895973e-07,
|
| 948 |
+
"loss": 0.0008287477539852262,
|
| 949 |
+
"step": 62,
|
| 950 |
+
"step_time": 24.98314088024199
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"clip_ratio/high_max": 0.010305540956323966,
|
| 954 |
+
"clip_ratio/high_mean": 0.0027848735844600014,
|
| 955 |
+
"clip_ratio/low_mean": 0.0023718228185316548,
|
| 956 |
+
"clip_ratio/low_min": 0.0,
|
| 957 |
+
"clip_ratio/region_mean": 0.0051566964539233595,
|
| 958 |
+
"epoch": 0.39375,
|
| 959 |
+
"grad_norm": 4.735161863778931,
|
| 960 |
+
"kl": 0.02155363536439836,
|
| 961 |
+
"learning_rate": 6.925114448481088e-07,
|
| 962 |
+
"loss": 0.00023077023797668517,
|
| 963 |
+
"step": 63,
|
| 964 |
+
"step_time": 23.559055018238723
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"clip_ratio/high_max": 0.007336975715588778,
|
| 968 |
+
"clip_ratio/high_mean": 0.0022878354939166456,
|
| 969 |
+
"clip_ratio/low_mean": 0.0014343098446261138,
|
| 970 |
+
"clip_ratio/low_min": 0.0,
|
| 971 |
+
"clip_ratio/region_mean": 0.0037221453385427594,
|
| 972 |
+
"epoch": 0.4,
|
| 973 |
+
"grad_norm": 2.7425939287395216,
|
| 974 |
+
"kl": 0.017463925178162754,
|
| 975 |
+
"learning_rate": 6.831196476354614e-07,
|
| 976 |
+
"loss": 0.00025247145094908774,
|
| 977 |
+
"step": 64,
|
| 978 |
+
"step_time": 25.167045696172863
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"clip_ratio/high_max": 0.0,
|
| 982 |
+
"clip_ratio/high_mean": 0.0,
|
| 983 |
+
"clip_ratio/low_mean": 0.0,
|
| 984 |
+
"clip_ratio/low_min": 0.0,
|
| 985 |
+
"clip_ratio/region_mean": 0.0,
|
| 986 |
+
"completions/clipped_ratio": 0.1796875,
|
| 987 |
+
"completions/max_length": 2048.0,
|
| 988 |
+
"completions/mean_length": 758.0,
|
| 989 |
+
"completions/min_length": 75.0,
|
| 990 |
+
"epoch": 0.40625,
|
| 991 |
+
"frac_reward_zero_std": 0.28125,
|
| 992 |
+
"grad_norm": 1.7153179593675776,
|
| 993 |
+
"kl": 0.01334342232439667,
|
| 994 |
+
"learning_rate": 6.7365262642241e-07,
|
| 995 |
+
"loss": 0.0001334746921202168,
|
| 996 |
+
"reward": 0.4453125,
|
| 997 |
+
"reward_std": 0.3263999819755554,
|
| 998 |
+
"rewards/MajorityAccuracy/mean": 0.4453125,
|
| 999 |
+
"rewards/MajorityAccuracy/std": 0.49797382950782776,
|
| 1000 |
+
"step": 65,
|
| 1001 |
+
"step_time": 180.74631309788674
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"clip_ratio/high_max": 0.0013495661842171103,
|
| 1005 |
+
"clip_ratio/high_mean": 0.00036529333010548726,
|
| 1006 |
+
"clip_ratio/low_mean": 0.0003270307533966843,
|
| 1007 |
+
"clip_ratio/low_min": 0.0,
|
| 1008 |
+
"clip_ratio/region_mean": 0.0006923240871401504,
|
| 1009 |
+
"epoch": 0.4125,
|
| 1010 |
+
"grad_norm": 1.8246082076635182,
|
| 1011 |
+
"kl": 0.012188129127025604,
|
| 1012 |
+
"learning_rate": 6.641142701810931e-07,
|
| 1013 |
+
"loss": 1.5998986782506108e-05,
|
| 1014 |
+
"step": 66,
|
| 1015 |
+
"step_time": 25.04222670663148
|
| 1016 |
+
},
|
| 1017 |
+
{
|
| 1018 |
+
"clip_ratio/high_max": 0.0018610530823934823,
|
| 1019 |
+
"clip_ratio/high_mean": 0.0004652632705983706,
|
| 1020 |
+
"clip_ratio/low_mean": 0.0002085937376250513,
|
| 1021 |
+
"clip_ratio/low_min": 0.0,
|
| 1022 |
+
"clip_ratio/region_mean": 0.0006738570082234219,
|
| 1023 |
+
"epoch": 0.41875,
|
| 1024 |
+
"grad_norm": 4.029074700014686,
|
| 1025 |
+
"kl": 0.014837535680271685,
|
| 1026 |
+
"learning_rate": 6.545084971874736e-07,
|
| 1027 |
+
"loss": 0.0003878355782944709,
|
| 1028 |
+
"step": 67,
|
| 1029 |
+
"step_time": 24.610105445142835
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"clip_ratio/high_max": 0.0081853736191988,
|
| 1033 |
+
"clip_ratio/high_mean": 0.002276742277899757,
|
| 1034 |
+
"clip_ratio/low_mean": 0.0021597580289380858,
|
| 1035 |
+
"clip_ratio/low_min": 0.0,
|
| 1036 |
+
"clip_ratio/region_mean": 0.004436500239535235,
|
| 1037 |
+
"epoch": 0.425,
|
| 1038 |
+
"grad_norm": 6.973653132546046,
|
| 1039 |
+
"kl": 0.04464558605104685,
|
| 1040 |
+
"learning_rate": 6.448392534117461e-07,
|
| 1041 |
+
"loss": 0.0003402717411518097,
|
| 1042 |
+
"step": 68,
|
| 1043 |
+
"step_time": 22.73716756887734
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"clip_ratio/high_max": 0.005366766708903015,
|
| 1047 |
+
"clip_ratio/high_mean": 0.001676107247476466,
|
| 1048 |
+
"clip_ratio/low_mean": 0.0045221080363262445,
|
| 1049 |
+
"clip_ratio/low_min": 0.0,
|
| 1050 |
+
"clip_ratio/region_mean": 0.006198215312906541,
|
| 1051 |
+
"epoch": 0.43125,
|
| 1052 |
+
"grad_norm": 3.36410123100141,
|
| 1053 |
+
"kl": 0.017930401023477316,
|
| 1054 |
+
"learning_rate": 6.351105108973644e-07,
|
| 1055 |
+
"loss": 0.0009741833200678229,
|
| 1056 |
+
"step": 69,
|
| 1057 |
+
"step_time": 21.939505197107792
|
| 1058 |
+
},
|
| 1059 |
+
{
|
| 1060 |
+
"clip_ratio/high_max": 0.005550288726226427,
|
| 1061 |
+
"clip_ratio/high_mean": 0.0019257591957284603,
|
| 1062 |
+
"clip_ratio/low_mean": 0.0030402787087950855,
|
| 1063 |
+
"clip_ratio/low_min": 0.0,
|
| 1064 |
+
"clip_ratio/region_mean": 0.004966038017300889,
|
| 1065 |
+
"epoch": 0.4375,
|
| 1066 |
+
"grad_norm": 3.210279819436838,
|
| 1067 |
+
"kl": 0.031130210496485233,
|
| 1068 |
+
"learning_rate": 6.253262661293602e-07,
|
| 1069 |
+
"loss": 0.0011797696352005005,
|
| 1070 |
+
"step": 70,
|
| 1071 |
+
"step_time": 24.76788749312982
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"clip_ratio/high_max": 0.011064380596508272,
|
| 1075 |
+
"clip_ratio/high_mean": 0.0032777741471363697,
|
| 1076 |
+
"clip_ratio/low_mean": 0.0022007066872902215,
|
| 1077 |
+
"clip_ratio/low_min": 0.0,
|
| 1078 |
+
"clip_ratio/region_mean": 0.005478480859892443,
|
| 1079 |
+
"epoch": 0.44375,
|
| 1080 |
+
"grad_norm": 4.919112250878259,
|
| 1081 |
+
"kl": 0.017998081748373806,
|
| 1082 |
+
"learning_rate": 6.154905383926216e-07,
|
| 1083 |
+
"loss": 0.0016150573501363397,
|
| 1084 |
+
"step": 71,
|
| 1085 |
+
"step_time": 25.65763571532443
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"clip_ratio/high_max": 0.005855489464011043,
|
| 1089 |
+
"clip_ratio/high_mean": 0.0014960556873120368,
|
| 1090 |
+
"clip_ratio/low_mean": 0.0024922539450926706,
|
| 1091 |
+
"clip_ratio/low_min": 0.0,
|
| 1092 |
+
"clip_ratio/region_mean": 0.003988309603300877,
|
| 1093 |
+
"epoch": 0.45,
|
| 1094 |
+
"grad_norm": 3.5154453243184154,
|
| 1095 |
+
"kl": 0.01818527898285538,
|
| 1096 |
+
"learning_rate": 6.056073681208037e-07,
|
| 1097 |
+
"loss": 0.0005847337888553739,
|
| 1098 |
+
"step": 72,
|
| 1099 |
+
"step_time": 24.781591073144227
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"clip_ratio/high_max": 0.0,
|
| 1103 |
+
"clip_ratio/high_mean": 0.0,
|
| 1104 |
+
"clip_ratio/low_mean": 0.0,
|
| 1105 |
+
"clip_ratio/low_min": 0.0,
|
| 1106 |
+
"clip_ratio/region_mean": 0.0,
|
| 1107 |
+
"completions/clipped_ratio": 0.23046875,
|
| 1108 |
+
"completions/max_length": 2048.0,
|
| 1109 |
+
"completions/mean_length": 958.28515625,
|
| 1110 |
+
"completions/min_length": 64.0,
|
| 1111 |
+
"epoch": 0.45625,
|
| 1112 |
+
"frac_reward_zero_std": 0.25,
|
| 1113 |
+
"grad_norm": 1.2234413468047642,
|
| 1114 |
+
"kl": 0.03309860941953957,
|
| 1115 |
+
"learning_rate": 5.956808152365532e-07,
|
| 1116 |
+
"loss": 0.0003308813611511141,
|
| 1117 |
+
"reward": 0.37109375,
|
| 1118 |
+
"reward_std": 0.33744850754737854,
|
| 1119 |
+
"rewards/MajorityAccuracy/mean": 0.37109375,
|
| 1120 |
+
"rewards/MajorityAccuracy/std": 0.48404380679130554,
|
| 1121 |
+
"step": 73,
|
| 1122 |
+
"step_time": 187.68038295721635
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"clip_ratio/high_max": 0.007406555625493638,
|
| 1126 |
+
"clip_ratio/high_mean": 0.0021588798372249585,
|
| 1127 |
+
"clip_ratio/low_mean": 0.0005711145531677175,
|
| 1128 |
+
"clip_ratio/low_min": 0.0,
|
| 1129 |
+
"clip_ratio/region_mean": 0.0027299943758407608,
|
| 1130 |
+
"epoch": 0.4625,
|
| 1131 |
+
"grad_norm": 3.0192983202317345,
|
| 1132 |
+
"kl": 0.013361586316023022,
|
| 1133 |
+
"learning_rate": 5.857149574837268e-07,
|
| 1134 |
+
"loss": 0.0004102354869246483,
|
| 1135 |
+
"step": 74,
|
| 1136 |
+
"step_time": 25.174202038440853
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"clip_ratio/high_max": 0.0025386976485606283,
|
| 1140 |
+
"clip_ratio/high_mean": 0.0007293958406080492,
|
| 1141 |
+
"clip_ratio/low_mean": 0.0011896327778231353,
|
| 1142 |
+
"clip_ratio/low_min": 6.103515625e-05,
|
| 1143 |
+
"clip_ratio/region_mean": 0.0019190285747754388,
|
| 1144 |
+
"epoch": 0.46875,
|
| 1145 |
+
"grad_norm": 2.5906114584239353,
|
| 1146 |
+
"kl": 0.013300799648277462,
|
| 1147 |
+
"learning_rate": 5.757138887522883e-07,
|
| 1148 |
+
"loss": 0.00019716843962669373,
|
| 1149 |
+
"step": 75,
|
| 1150 |
+
"step_time": 25.167831495869905
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"clip_ratio/high_max": 0.005397733737481758,
|
| 1154 |
+
"clip_ratio/high_mean": 0.0017472582912887447,
|
| 1155 |
+
"clip_ratio/low_mean": 0.0008986478060251102,
|
| 1156 |
+
"clip_ratio/low_min": 0.0,
|
| 1157 |
+
"clip_ratio/region_mean": 0.002645906148245558,
|
| 1158 |
+
"epoch": 0.475,
|
| 1159 |
+
"grad_norm": 5.67900549804578,
|
| 1160 |
+
"kl": 0.03538850462064147,
|
| 1161 |
+
"learning_rate": 5.656817173965732e-07,
|
| 1162 |
+
"loss": 0.0014598534908145666,
|
| 1163 |
+
"step": 76,
|
| 1164 |
+
"step_time": 24.415067180991173
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"clip_ratio/high_max": 0.0012199118209537119,
|
| 1168 |
+
"clip_ratio/high_mean": 0.00030497795523842797,
|
| 1169 |
+
"clip_ratio/low_mean": 0.000677750231261598,
|
| 1170 |
+
"clip_ratio/low_min": 0.0,
|
| 1171 |
+
"clip_ratio/region_mean": 0.000982728182862047,
|
| 1172 |
+
"epoch": 0.48125,
|
| 1173 |
+
"grad_norm": 1.4930151657741069,
|
| 1174 |
+
"kl": 0.01065082720015198,
|
| 1175 |
+
"learning_rate": 5.556225645476118e-07,
|
| 1176 |
+
"loss": 1.879111005109735e-05,
|
| 1177 |
+
"step": 77,
|
| 1178 |
+
"step_time": 25.081283334176987
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"clip_ratio/high_max": 0.0049706818390404806,
|
| 1182 |
+
"clip_ratio/high_mean": 0.0019025111796509009,
|
| 1183 |
+
"clip_ratio/low_mean": 0.004778426897246391,
|
| 1184 |
+
"clip_ratio/low_min": 0.0,
|
| 1185 |
+
"clip_ratio/region_mean": 0.006680938065983355,
|
| 1186 |
+
"epoch": 0.4875,
|
| 1187 |
+
"grad_norm": 4.367608860177029,
|
| 1188 |
+
"kl": 0.02829379285685718,
|
| 1189 |
+
"learning_rate": 5.455405624202032e-07,
|
| 1190 |
+
"loss": 0.0015850560739636421,
|
| 1191 |
+
"step": 78,
|
| 1192 |
+
"step_time": 24.012428423389792
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"clip_ratio/high_max": 0.0031596092303516343,
|
| 1196 |
+
"clip_ratio/high_mean": 0.0008662148866278585,
|
| 1197 |
+
"clip_ratio/low_mean": 0.0032945944694802165,
|
| 1198 |
+
"clip_ratio/low_min": 0.0,
|
| 1199 |
+
"clip_ratio/region_mean": 0.004160809359746054,
|
| 1200 |
+
"epoch": 0.49375,
|
| 1201 |
+
"grad_norm": 3.7041699600924,
|
| 1202 |
+
"kl": 0.024105938617140055,
|
| 1203 |
+
"learning_rate": 5.354398526154365e-07,
|
| 1204 |
+
"loss": 0.0005642974865622818,
|
| 1205 |
+
"step": 79,
|
| 1206 |
+
"step_time": 24.183080974500626
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"clip_ratio/high_max": 0.002896510995924473,
|
| 1210 |
+
"clip_ratio/high_mean": 0.0008780083153396845,
|
| 1211 |
+
"clip_ratio/low_mean": 0.0009032042871695012,
|
| 1212 |
+
"clip_ratio/low_min": 0.0,
|
| 1213 |
+
"clip_ratio/region_mean": 0.0017812126025091857,
|
| 1214 |
+
"epoch": 0.5,
|
| 1215 |
+
"grad_norm": 2.46535135176018,
|
| 1216 |
+
"kl": 0.017134349909611046,
|
| 1217 |
+
"learning_rate": 5.253245844193564e-07,
|
| 1218 |
+
"loss": 0.0005194220575504005,
|
| 1219 |
+
"step": 80,
|
| 1220 |
+
"step_time": 24.49795059300959
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"clip_ratio/high_max": 0.0,
|
| 1224 |
+
"clip_ratio/high_mean": 0.0,
|
| 1225 |
+
"clip_ratio/low_mean": 0.0,
|
| 1226 |
+
"clip_ratio/low_min": 0.0,
|
| 1227 |
+
"clip_ratio/region_mean": 0.0,
|
| 1228 |
+
"completions/clipped_ratio": 0.15234375,
|
| 1229 |
+
"completions/max_length": 2048.0,
|
| 1230 |
+
"completions/mean_length": 681.375,
|
| 1231 |
+
"completions/min_length": 83.0,
|
| 1232 |
+
"epoch": 0.50625,
|
| 1233 |
+
"frac_reward_zero_std": 0.25,
|
| 1234 |
+
"grad_norm": 3.7906678874591457,
|
| 1235 |
+
"kl": 0.023944684537127614,
|
| 1236 |
+
"learning_rate": 5.151989130984714e-07,
|
| 1237 |
+
"loss": 0.0002395894262008369,
|
| 1238 |
+
"reward": 0.5078125,
|
| 1239 |
+
"reward_std": 0.3197173476219177,
|
| 1240 |
+
"rewards/MajorityAccuracy/mean": 0.5078125,
|
| 1241 |
+
"rewards/MajorityAccuracy/std": 0.5009182691574097,
|
| 1242 |
+
"step": 81,
|
| 1243 |
+
"step_time": 180.91004595020786
|
| 1244 |
+
},
|
| 1245 |
+
{
|
| 1246 |
+
"clip_ratio/high_max": 0.003093614272074774,
|
| 1247 |
+
"clip_ratio/high_mean": 0.0008637214777991176,
|
| 1248 |
+
"clip_ratio/low_mean": 0.00024133233091561124,
|
| 1249 |
+
"clip_ratio/low_min": 0.0,
|
| 1250 |
+
"clip_ratio/region_mean": 0.0011050538159906864,
|
| 1251 |
+
"epoch": 0.5125,
|
| 1252 |
+
"grad_norm": 3.479409368657873,
|
| 1253 |
+
"kl": 0.028679235372692347,
|
| 1254 |
+
"learning_rate": 5.050669981928055e-07,
|
| 1255 |
+
"loss": -8.225702913478017e-06,
|
| 1256 |
+
"step": 82,
|
| 1257 |
+
"step_time": 22.89637992531061
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"clip_ratio/high_max": 0.004978135199053213,
|
| 1261 |
+
"clip_ratio/high_mean": 0.001705200418655295,
|
| 1262 |
+
"clip_ratio/low_mean": 0.0008961745534179499,
|
| 1263 |
+
"clip_ratio/low_min": 0.0,
|
| 1264 |
+
"clip_ratio/region_mean": 0.0026013749302364886,
|
| 1265 |
+
"epoch": 0.51875,
|
| 1266 |
+
"grad_norm": 4.667790805087449,
|
| 1267 |
+
"kl": 0.014629742479883134,
|
| 1268 |
+
"learning_rate": 4.949330018071946e-07,
|
| 1269 |
+
"loss": 0.00046710018068552017,
|
| 1270 |
+
"step": 83,
|
| 1271 |
+
"step_time": 23.829858273267746
|
| 1272 |
+
},
|
| 1273 |
+
{
|
| 1274 |
+
"clip_ratio/high_max": 0.007115483283996582,
|
| 1275 |
+
"clip_ratio/high_mean": 0.0020536573720164597,
|
| 1276 |
+
"clip_ratio/low_mean": 0.0006662621017312631,
|
| 1277 |
+
"clip_ratio/low_min": 0.0,
|
| 1278 |
+
"clip_ratio/region_mean": 0.002719919415540062,
|
| 1279 |
+
"epoch": 0.525,
|
| 1280 |
+
"grad_norm": 4.966286845349483,
|
| 1281 |
+
"kl": 0.03259548032656312,
|
| 1282 |
+
"learning_rate": 4.848010869015287e-07,
|
| 1283 |
+
"loss": 0.0003560303011909127,
|
| 1284 |
+
"step": 84,
|
| 1285 |
+
"step_time": 24.245297060348094
|
| 1286 |
+
},
|
| 1287 |
+
{
|
| 1288 |
+
"clip_ratio/high_max": 0.002715230148169212,
|
| 1289 |
+
"clip_ratio/high_mean": 0.000678807537042303,
|
| 1290 |
+
"clip_ratio/low_mean": 4.57763671875e-05,
|
| 1291 |
+
"clip_ratio/low_min": 0.0,
|
| 1292 |
+
"clip_ratio/region_mean": 0.000724583904229803,
|
| 1293 |
+
"epoch": 0.53125,
|
| 1294 |
+
"grad_norm": 1.5611602835077227,
|
| 1295 |
+
"kl": 0.02022536814911291,
|
| 1296 |
+
"learning_rate": 4.746754155806437e-07,
|
| 1297 |
+
"loss": 0.00042446726001799107,
|
| 1298 |
+
"step": 85,
|
| 1299 |
+
"step_time": 22.878454454708844
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"clip_ratio/high_max": 0.011813084041932598,
|
| 1303 |
+
"clip_ratio/high_mean": 0.004460452335479204,
|
| 1304 |
+
"clip_ratio/low_mean": 0.0007811165996827185,
|
| 1305 |
+
"clip_ratio/low_min": 0.0,
|
| 1306 |
+
"clip_ratio/region_mean": 0.005241568956989795,
|
| 1307 |
+
"epoch": 0.5375,
|
| 1308 |
+
"grad_norm": 5.598217946028612,
|
| 1309 |
+
"kl": 0.027438436402007937,
|
| 1310 |
+
"learning_rate": 4.645601473845635e-07,
|
| 1311 |
+
"loss": 0.0020504435524344444,
|
| 1312 |
+
"step": 86,
|
| 1313 |
+
"step_time": 24.765506824478507
|
| 1314 |
+
},
|
| 1315 |
+
{
|
| 1316 |
+
"clip_ratio/high_max": 0.008153254297212698,
|
| 1317 |
+
"clip_ratio/high_mean": 0.0024481417531205807,
|
| 1318 |
+
"clip_ratio/low_mean": 0.0010723996674641967,
|
| 1319 |
+
"clip_ratio/low_min": 0.0,
|
| 1320 |
+
"clip_ratio/region_mean": 0.0035205414351366926,
|
| 1321 |
+
"epoch": 0.54375,
|
| 1322 |
+
"grad_norm": 4.566349737533934,
|
| 1323 |
+
"kl": 0.0345097875688225,
|
| 1324 |
+
"learning_rate": 4.544594375797968e-07,
|
| 1325 |
+
"loss": 0.00197477824985981,
|
| 1326 |
+
"step": 87,
|
| 1327 |
+
"step_time": 24.84957295516506
|
| 1328 |
+
},
|
| 1329 |
+
{
|
| 1330 |
+
"clip_ratio/high_max": 0.001858463219832629,
|
| 1331 |
+
"clip_ratio/high_mean": 0.0005323542427504435,
|
| 1332 |
+
"clip_ratio/low_mean": 0.003152641700580716,
|
| 1333 |
+
"clip_ratio/low_min": 0.0,
|
| 1334 |
+
"clip_ratio/region_mean": 0.003684995914227329,
|
| 1335 |
+
"epoch": 0.55,
|
| 1336 |
+
"grad_norm": 1.9531922161179756,
|
| 1337 |
+
"kl": 0.02273144223727286,
|
| 1338 |
+
"learning_rate": 4.443774354523882e-07,
|
| 1339 |
+
"loss": 0.0002295393933309242,
|
| 1340 |
+
"step": 88,
|
| 1341 |
+
"step_time": 25.297407489735633
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"clip_ratio/high_max": 0.0,
|
| 1345 |
+
"clip_ratio/high_mean": 0.0,
|
| 1346 |
+
"clip_ratio/low_mean": 0.0,
|
| 1347 |
+
"clip_ratio/low_min": 0.0,
|
| 1348 |
+
"clip_ratio/region_mean": 0.0,
|
| 1349 |
+
"completions/clipped_ratio": 0.23046875,
|
| 1350 |
+
"completions/max_length": 2048.0,
|
| 1351 |
+
"completions/mean_length": 947.08203125,
|
| 1352 |
+
"completions/min_length": 51.0,
|
| 1353 |
+
"epoch": 0.55625,
|
| 1354 |
+
"frac_reward_zero_std": 0.21875,
|
| 1355 |
+
"grad_norm": 3.9645446444872237,
|
| 1356 |
+
"kl": 0.03308751783333719,
|
| 1357 |
+
"learning_rate": 4.3431828260342675e-07,
|
| 1358 |
+
"loss": 0.0003309529274702072,
|
| 1359 |
+
"reward": 0.42578125,
|
| 1360 |
+
"reward_std": 0.377422571182251,
|
| 1361 |
+
"rewards/MajorityAccuracy/mean": 0.42578125,
|
| 1362 |
+
"rewards/MajorityAccuracy/std": 0.49542948603630066,
|
| 1363 |
+
"step": 89,
|
| 1364 |
+
"step_time": 184.47492833761498
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"clip_ratio/high_max": 0.002989657034049742,
|
| 1368 |
+
"clip_ratio/high_mean": 0.0007788845505274367,
|
| 1369 |
+
"clip_ratio/low_mean": 0.0005794188145955559,
|
| 1370 |
+
"clip_ratio/low_min": 0.0,
|
| 1371 |
+
"clip_ratio/region_mean": 0.0013583033651229925,
|
| 1372 |
+
"epoch": 0.5625,
|
| 1373 |
+
"grad_norm": 1.8632283978178106,
|
| 1374 |
+
"kl": 0.02002240251749754,
|
| 1375 |
+
"learning_rate": 4.242861112477118e-07,
|
| 1376 |
+
"loss": -0.00018292292952537537,
|
| 1377 |
+
"step": 90,
|
| 1378 |
+
"step_time": 24.308552390895784
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"clip_ratio/high_max": 0.0009566748340148479,
|
| 1382 |
+
"clip_ratio/high_mean": 0.00029547501617344096,
|
| 1383 |
+
"clip_ratio/low_mean": 0.0003545680028764764,
|
| 1384 |
+
"clip_ratio/low_min": 0.0,
|
| 1385 |
+
"clip_ratio/region_mean": 0.0006500430281448644,
|
| 1386 |
+
"epoch": 0.56875,
|
| 1387 |
+
"grad_norm": 2.5961834699590014,
|
| 1388 |
+
"kl": 0.015785084338858724,
|
| 1389 |
+
"learning_rate": 4.1428504251627325e-07,
|
| 1390 |
+
"loss": 0.00020076071086805314,
|
| 1391 |
+
"step": 91,
|
| 1392 |
+
"step_time": 25.398491187486798
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"clip_ratio/high_max": 0.000943836203077808,
|
| 1396 |
+
"clip_ratio/high_mean": 0.000235959050769452,
|
| 1397 |
+
"clip_ratio/low_mean": 0.00022361135779647157,
|
| 1398 |
+
"clip_ratio/low_min": 0.0,
|
| 1399 |
+
"clip_ratio/region_mean": 0.00045957040856592357,
|
| 1400 |
+
"epoch": 0.575,
|
| 1401 |
+
"grad_norm": 2.2025042667094152,
|
| 1402 |
+
"kl": 0.011239038547500968,
|
| 1403 |
+
"learning_rate": 4.0431918476344685e-07,
|
| 1404 |
+
"loss": 0.00015828953473828733,
|
| 1405 |
+
"step": 92,
|
| 1406 |
+
"step_time": 25.078916994854808
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"clip_ratio/high_max": 0.0027589463352342136,
|
| 1410 |
+
"clip_ratio/high_mean": 0.0007116972283256473,
|
| 1411 |
+
"clip_ratio/low_mean": 0.00025243509298888966,
|
| 1412 |
+
"clip_ratio/low_min": 0.0,
|
| 1413 |
+
"clip_ratio/region_mean": 0.0009641323194955476,
|
| 1414 |
+
"epoch": 0.58125,
|
| 1415 |
+
"grad_norm": 1.0922742731313364,
|
| 1416 |
+
"kl": 0.011261551408097148,
|
| 1417 |
+
"learning_rate": 3.943926318791963e-07,
|
| 1418 |
+
"loss": 0.00042822223622351885,
|
| 1419 |
+
"step": 93,
|
| 1420 |
+
"step_time": 24.85713968379423
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"clip_ratio/high_max": 0.008716845259186812,
|
| 1424 |
+
"clip_ratio/high_mean": 0.0027385113535274286,
|
| 1425 |
+
"clip_ratio/low_mean": 0.0007698228655499406,
|
| 1426 |
+
"clip_ratio/low_min": 0.0,
|
| 1427 |
+
"clip_ratio/region_mean": 0.003508334222715348,
|
| 1428 |
+
"epoch": 0.5875,
|
| 1429 |
+
"grad_norm": 3.6997753500828914,
|
| 1430 |
+
"kl": 0.04267858201637864,
|
| 1431 |
+
"learning_rate": 3.845094616073783e-07,
|
| 1432 |
+
"loss": 0.001056480105035007,
|
| 1433 |
+
"step": 94,
|
| 1434 |
+
"step_time": 22.899330105166882
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"clip_ratio/high_max": 0.0055412921064998955,
|
| 1438 |
+
"clip_ratio/high_mean": 0.0020053060434293,
|
| 1439 |
+
"clip_ratio/low_mean": 0.0005379818794608582,
|
| 1440 |
+
"clip_ratio/low_min": 0.0,
|
| 1441 |
+
"clip_ratio/region_mean": 0.0025432879629079252,
|
| 1442 |
+
"epoch": 0.59375,
|
| 1443 |
+
"grad_norm": 4.5523887498160365,
|
| 1444 |
+
"kl": 0.024657392059452832,
|
| 1445 |
+
"learning_rate": 3.7467373387063964e-07,
|
| 1446 |
+
"loss": 0.0006675906479358673,
|
| 1447 |
+
"step": 95,
|
| 1448 |
+
"step_time": 23.3978268513456
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"clip_ratio/high_max": 0.0019045915105380118,
|
| 1452 |
+
"clip_ratio/high_mean": 0.0005441075772978365,
|
| 1453 |
+
"clip_ratio/low_mean": 0.0006824154188507237,
|
| 1454 |
+
"clip_ratio/low_min": 0.0,
|
| 1455 |
+
"clip_ratio/region_mean": 0.0012265230034245178,
|
| 1456 |
+
"epoch": 0.6,
|
| 1457 |
+
"grad_norm": 3.1997310246750166,
|
| 1458 |
+
"kl": 0.01303628773894161,
|
| 1459 |
+
"learning_rate": 3.648894891026358e-07,
|
| 1460 |
+
"loss": 0.0002713138237595558,
|
| 1461 |
+
"step": 96,
|
| 1462 |
+
"step_time": 25.011431260965765
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"clip_ratio/high_max": 0.0,
|
| 1466 |
+
"clip_ratio/high_mean": 0.0,
|
| 1467 |
+
"clip_ratio/low_mean": 0.0,
|
| 1468 |
+
"clip_ratio/low_min": 0.0,
|
| 1469 |
+
"clip_ratio/region_mean": 0.0,
|
| 1470 |
+
"completions/clipped_ratio": 0.26171875,
|
| 1471 |
+
"completions/max_length": 2048.0,
|
| 1472 |
+
"completions/mean_length": 927.55859375,
|
| 1473 |
+
"completions/min_length": 67.0,
|
| 1474 |
+
"epoch": 0.60625,
|
| 1475 |
+
"frac_reward_zero_std": 0.4375,
|
| 1476 |
+
"grad_norm": 2.746830182234399,
|
| 1477 |
+
"kl": 0.0162498417776078,
|
| 1478 |
+
"learning_rate": 3.5516074658825397e-07,
|
| 1479 |
+
"loss": 0.00016247414168901742,
|
| 1480 |
+
"reward": 0.390625,
|
| 1481 |
+
"reward_std": 0.23475275933742523,
|
| 1482 |
+
"rewards/MajorityAccuracy/mean": 0.390625,
|
| 1483 |
+
"rewards/MajorityAccuracy/std": 0.48884618282318115,
|
| 1484 |
+
"step": 97,
|
| 1485 |
+
"step_time": 186.276470198296
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"clip_ratio/high_max": 0.00042662114719860256,
|
| 1489 |
+
"clip_ratio/high_mean": 0.00010665528679965064,
|
| 1490 |
+
"clip_ratio/low_mean": 0.00043476466089487076,
|
| 1491 |
+
"clip_ratio/low_min": 0.0,
|
| 1492 |
+
"clip_ratio/region_mean": 0.0005414199476945214,
|
| 1493 |
+
"epoch": 0.6125,
|
| 1494 |
+
"grad_norm": 2.8294558723194903,
|
| 1495 |
+
"kl": 0.037818039301782846,
|
| 1496 |
+
"learning_rate": 3.454915028125263e-07,
|
| 1497 |
+
"loss": 0.00035748054506257176,
|
| 1498 |
+
"step": 98,
|
| 1499 |
+
"step_time": 23.018607531208545
|
| 1500 |
+
},
|
| 1501 |
+
{
|
| 1502 |
+
"clip_ratio/high_max": 0.0,
|
| 1503 |
+
"clip_ratio/high_mean": 0.0,
|
| 1504 |
+
"clip_ratio/low_mean": 0.0,
|
| 1505 |
+
"clip_ratio/low_min": 0.0,
|
| 1506 |
+
"clip_ratio/region_mean": 0.0,
|
| 1507 |
+
"epoch": 0.61875,
|
| 1508 |
+
"grad_norm": 0.055361921613878734,
|
| 1509 |
+
"kl": 0.012385692331008613,
|
| 1510 |
+
"learning_rate": 3.3588572981890684e-07,
|
| 1511 |
+
"loss": 0.0001239300618181005,
|
| 1512 |
+
"step": 99,
|
| 1513 |
+
"step_time": 24.896389742847532
|
| 1514 |
+
},
|
| 1515 |
+
{
|
| 1516 |
+
"clip_ratio/high_max": 0.004809682359336875,
|
| 1517 |
+
"clip_ratio/high_mean": 0.0015151679872360546,
|
| 1518 |
+
"clip_ratio/low_mean": 0.0005800919461762533,
|
| 1519 |
+
"clip_ratio/low_min": 0.0,
|
| 1520 |
+
"clip_ratio/region_mean": 0.002095259915222414,
|
| 1521 |
+
"epoch": 0.625,
|
| 1522 |
+
"grad_norm": 2.591678658552652,
|
| 1523 |
+
"kl": 0.027717803488485515,
|
| 1524 |
+
"learning_rate": 3.263473735775899e-07,
|
| 1525 |
+
"loss": 0.00016563631652388722,
|
| 1526 |
+
"step": 100,
|
| 1527 |
+
"step_time": 24.149877541232854
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"clip_ratio/high_max": 0.0008795171015663072,
|
| 1531 |
+
"clip_ratio/high_mean": 0.0002198792753915768,
|
| 1532 |
+
"clip_ratio/low_mean": 0.0008711664777365513,
|
| 1533 |
+
"clip_ratio/low_min": 0.0,
|
| 1534 |
+
"clip_ratio/region_mean": 0.001091045734938234,
|
| 1535 |
+
"epoch": 0.63125,
|
| 1536 |
+
"grad_norm": 2.2551953384788788,
|
| 1537 |
+
"kl": 0.02133840532042086,
|
| 1538 |
+
"learning_rate": 3.1688035236453865e-07,
|
| 1539 |
+
"loss": 0.00011316684685880318,
|
| 1540 |
+
"step": 101,
|
| 1541 |
+
"step_time": 24.340119928121567
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"clip_ratio/high_max": 0.003992271493189037,
|
| 1545 |
+
"clip_ratio/high_mean": 0.0011380018695490435,
|
| 1546 |
+
"clip_ratio/low_mean": 0.0005955125379841775,
|
| 1547 |
+
"clip_ratio/low_min": 0.0,
|
| 1548 |
+
"clip_ratio/region_mean": 0.001733514407533221,
|
| 1549 |
+
"epoch": 0.6375,
|
| 1550 |
+
"grad_norm": 2.044003125262282,
|
| 1551 |
+
"kl": 0.012874316773377359,
|
| 1552 |
+
"learning_rate": 3.0748855515189096e-07,
|
| 1553 |
+
"loss": 0.00014772173017263412,
|
| 1554 |
+
"step": 102,
|
| 1555 |
+
"step_time": 25.199218209367245
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"clip_ratio/high_max": 0.003294841095339507,
|
| 1559 |
+
"clip_ratio/high_mean": 0.0008237102738348767,
|
| 1560 |
+
"clip_ratio/low_mean": 0.00028246818692423403,
|
| 1561 |
+
"clip_ratio/low_min": 0.0,
|
| 1562 |
+
"clip_ratio/region_mean": 0.0011061784534831531,
|
| 1563 |
+
"epoch": 0.64375,
|
| 1564 |
+
"grad_norm": 1.3377746726311037,
|
| 1565 |
+
"kl": 0.020156481070443988,
|
| 1566 |
+
"learning_rate": 2.981758400104028e-07,
|
| 1567 |
+
"loss": 0.00020956956723239273,
|
| 1568 |
+
"step": 103,
|
| 1569 |
+
"step_time": 24.945010003168136
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"clip_ratio/high_max": 0.00440608240023721,
|
| 1573 |
+
"clip_ratio/high_mean": 0.0011015206000593025,
|
| 1574 |
+
"clip_ratio/low_mean": 0.000277089886367321,
|
| 1575 |
+
"clip_ratio/low_min": 0.0,
|
| 1576 |
+
"clip_ratio/region_mean": 0.0013786104900646023,
|
| 1577 |
+
"epoch": 0.65,
|
| 1578 |
+
"grad_norm": 1.886645919015797,
|
| 1579 |
+
"kl": 0.015945701044984162,
|
| 1580 |
+
"learning_rate": 2.8894603252458403e-07,
|
| 1581 |
+
"loss": -4.721151344710961e-05,
|
| 1582 |
+
"step": 104,
|
| 1583 |
+
"step_time": 24.834263660013676
|
| 1584 |
+
},
|
| 1585 |
+
{
|
| 1586 |
+
"clip_ratio/high_max": 0.0,
|
| 1587 |
+
"clip_ratio/high_mean": 0.0,
|
| 1588 |
+
"clip_ratio/low_mean": 0.0,
|
| 1589 |
+
"clip_ratio/low_min": 0.0,
|
| 1590 |
+
"clip_ratio/region_mean": 0.0,
|
| 1591 |
+
"completions/clipped_ratio": 0.203125,
|
| 1592 |
+
"completions/max_length": 2048.0,
|
| 1593 |
+
"completions/mean_length": 794.328125,
|
| 1594 |
+
"completions/min_length": 69.0,
|
| 1595 |
+
"epoch": 0.65625,
|
| 1596 |
+
"frac_reward_zero_std": 0.21875,
|
| 1597 |
+
"grad_norm": 2.906630125740679,
|
| 1598 |
+
"kl": 0.019378585275262594,
|
| 1599 |
+
"learning_rate": 2.7980292422118277e-07,
|
| 1600 |
+
"loss": 0.00019384961342439055,
|
| 1601 |
+
"reward": 0.46875,
|
| 1602 |
+
"reward_std": 0.3524448871612549,
|
| 1603 |
+
"rewards/MajorityAccuracy/mean": 0.46875,
|
| 1604 |
+
"rewards/MajorityAccuracy/std": 0.5,
|
| 1605 |
+
"step": 105,
|
| 1606 |
+
"step_time": 182.74002473335713
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"clip_ratio/high_max": 0.00464864460809622,
|
| 1610 |
+
"clip_ratio/high_mean": 0.0011980600866081659,
|
| 1611 |
+
"clip_ratio/low_mean": 0.0002857408544514328,
|
| 1612 |
+
"clip_ratio/low_min": 0.0,
|
| 1613 |
+
"clip_ratio/region_mean": 0.0014838009701634292,
|
| 1614 |
+
"epoch": 0.6625,
|
| 1615 |
+
"grad_norm": 5.348660964308739,
|
| 1616 |
+
"kl": 0.04366080742329359,
|
| 1617 |
+
"learning_rate": 2.70750271011657e-07,
|
| 1618 |
+
"loss": 0.000708715058863163,
|
| 1619 |
+
"step": 106,
|
| 1620 |
+
"step_time": 24.580459790304303
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"clip_ratio/high_max": 0.0015517349675064906,
|
| 1624 |
+
"clip_ratio/high_mean": 0.00042870347897405736,
|
| 1625 |
+
"clip_ratio/low_mean": 0.00021158602976356633,
|
| 1626 |
+
"clip_ratio/low_min": 0.0,
|
| 1627 |
+
"clip_ratio/region_mean": 0.0006402895087376237,
|
| 1628 |
+
"epoch": 0.66875,
|
| 1629 |
+
"grad_norm": 1.612926768950073,
|
| 1630 |
+
"kl": 0.009279580088332295,
|
| 1631 |
+
"learning_rate": 2.6179179164927754e-07,
|
| 1632 |
+
"loss": 0.00023716760915704072,
|
| 1633 |
+
"step": 107,
|
| 1634 |
+
"step_time": 25.75847982848063
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"clip_ratio/high_max": 0.003422082547331229,
|
| 1638 |
+
"clip_ratio/high_mean": 0.001039439972373657,
|
| 1639 |
+
"clip_ratio/low_mean": 0.0003285885904915631,
|
| 1640 |
+
"clip_ratio/low_min": 0.0,
|
| 1641 |
+
"clip_ratio/region_mean": 0.0013680285483133048,
|
| 1642 |
+
"epoch": 0.675,
|
| 1643 |
+
"grad_norm": 2.8390681534775375,
|
| 1644 |
+
"kl": 0.021288370015099645,
|
| 1645 |
+
"learning_rate": 2.529311662014972e-07,
|
| 1646 |
+
"loss": 0.0006155818700790405,
|
| 1647 |
+
"step": 108,
|
| 1648 |
+
"step_time": 24.10438273055479
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"clip_ratio/high_max": 0.004911001888103783,
|
| 1652 |
+
"clip_ratio/high_mean": 0.0015158808600972407,
|
| 1653 |
+
"clip_ratio/low_mean": 0.0007953805761644617,
|
| 1654 |
+
"clip_ratio/low_min": 0.0,
|
| 1655 |
+
"clip_ratio/region_mean": 0.0023112613998819143,
|
| 1656 |
+
"epoch": 0.68125,
|
| 1657 |
+
"grad_norm": 3.799845195333566,
|
| 1658 |
+
"kl": 0.03941259835846722,
|
| 1659 |
+
"learning_rate": 2.441720345382089e-07,
|
| 1660 |
+
"loss": -5.1648676162585616e-05,
|
| 1661 |
+
"step": 109,
|
| 1662 |
+
"step_time": 22.739543860778213
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"clip_ratio/high_max": 0.0010399125749245286,
|
| 1666 |
+
"clip_ratio/high_mean": 0.00025997814373113215,
|
| 1667 |
+
"clip_ratio/low_mean": 0.000760422226449009,
|
| 1668 |
+
"clip_ratio/low_min": 0.0,
|
| 1669 |
+
"clip_ratio/region_mean": 0.0010204003847320564,
|
| 1670 |
+
"epoch": 0.6875,
|
| 1671 |
+
"grad_norm": 3.425829260950132,
|
| 1672 |
+
"kl": 0.021432430250570178,
|
| 1673 |
+
"learning_rate": 2.355179948365189e-07,
|
| 1674 |
+
"loss": 0.0006575718871317804,
|
| 1675 |
+
"step": 110,
|
| 1676 |
+
"step_time": 23.417079218197614
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"clip_ratio/high_max": 0.004584776877891272,
|
| 1680 |
+
"clip_ratio/high_mean": 0.0018162674532504752,
|
| 1681 |
+
"clip_ratio/low_mean": 0.0006794104556320235,
|
| 1682 |
+
"clip_ratio/low_min": 0.0,
|
| 1683 |
+
"clip_ratio/region_mean": 0.0024956778797786683,
|
| 1684 |
+
"epoch": 0.69375,
|
| 1685 |
+
"grad_norm": 3.7057459321326176,
|
| 1686 |
+
"kl": 0.018441698979586363,
|
| 1687 |
+
"learning_rate": 2.26972602102645e-07,
|
| 1688 |
+
"loss": 1.2700125807896256e-05,
|
| 1689 |
+
"step": 111,
|
| 1690 |
+
"step_time": 24.406328023411334
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"clip_ratio/high_max": 0.0071835165144875646,
|
| 1694 |
+
"clip_ratio/high_mean": 0.002048340582405217,
|
| 1695 |
+
"clip_ratio/low_mean": 0.0003899169896612875,
|
| 1696 |
+
"clip_ratio/low_min": 0.0,
|
| 1697 |
+
"clip_ratio/region_mean": 0.0024382575866184197,
|
| 1698 |
+
"epoch": 0.7,
|
| 1699 |
+
"grad_norm": 2.1697108742361872,
|
| 1700 |
+
"kl": 0.019718975061550736,
|
| 1701 |
+
"learning_rate": 2.1853936671155127e-07,
|
| 1702 |
+
"loss": 0.00043255178024992347,
|
| 1703 |
+
"step": 112,
|
| 1704 |
+
"step_time": 24.947264580521733
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"clip_ratio/high_max": 0.0,
|
| 1708 |
+
"clip_ratio/high_mean": 0.0,
|
| 1709 |
+
"clip_ratio/low_mean": 0.0,
|
| 1710 |
+
"clip_ratio/low_min": 0.0,
|
| 1711 |
+
"clip_ratio/region_mean": 0.0,
|
| 1712 |
+
"completions/clipped_ratio": 0.27734375,
|
| 1713 |
+
"completions/max_length": 2048.0,
|
| 1714 |
+
"completions/mean_length": 1057.3515625,
|
| 1715 |
+
"completions/min_length": 72.0,
|
| 1716 |
+
"epoch": 0.70625,
|
| 1717 |
+
"frac_reward_zero_std": 0.125,
|
| 1718 |
+
"grad_norm": 1.834847385081377,
|
| 1719 |
+
"kl": 0.016988730058073997,
|
| 1720 |
+
"learning_rate": 2.1022175296491512e-07,
|
| 1721 |
+
"loss": 0.0001699887216091156,
|
| 1722 |
+
"reward": 0.39453125,
|
| 1723 |
+
"reward_std": 0.39690107107162476,
|
| 1724 |
+
"rewards/MajorityAccuracy/mean": 0.39453125,
|
| 1725 |
+
"rewards/MajorityAccuracy/std": 0.48970717191696167,
|
| 1726 |
+
"step": 113,
|
| 1727 |
+
"step_time": 187.62890050327405
|
| 1728 |
+
},
|
| 1729 |
+
{
|
| 1730 |
+
"clip_ratio/high_max": 0.001759141421644017,
|
| 1731 |
+
"clip_ratio/high_mean": 0.00061360287872958,
|
| 1732 |
+
"clip_ratio/low_mean": 0.00031236752693075687,
|
| 1733 |
+
"clip_ratio/low_min": 0.0,
|
| 1734 |
+
"clip_ratio/region_mean": 0.0009259703983843792,
|
| 1735 |
+
"epoch": 0.7125,
|
| 1736 |
+
"grad_norm": 2.0213924719836704,
|
| 1737 |
+
"kl": 0.017376792151480913,
|
| 1738 |
+
"learning_rate": 2.0202317766802152e-07,
|
| 1739 |
+
"loss": 0.0002892809279728681,
|
| 1740 |
+
"step": 114,
|
| 1741 |
+
"step_time": 24.988385637756437
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"clip_ratio/high_max": 0.0,
|
| 1745 |
+
"clip_ratio/high_mean": 0.0,
|
| 1746 |
+
"clip_ratio/low_mean": 0.0002791200240608305,
|
| 1747 |
+
"clip_ratio/low_min": 0.0,
|
| 1748 |
+
"clip_ratio/region_mean": 0.0002791200240608305,
|
| 1749 |
+
"epoch": 0.71875,
|
| 1750 |
+
"grad_norm": 0.7921275408906617,
|
| 1751 |
+
"kl": 0.012203714344650507,
|
| 1752 |
+
"learning_rate": 1.9394700872616853e-07,
|
| 1753 |
+
"loss": 0.00018957597785629332,
|
| 1754 |
+
"step": 115,
|
| 1755 |
+
"step_time": 25.44249103870243
|
| 1756 |
+
},
|
| 1757 |
+
{
|
| 1758 |
+
"clip_ratio/high_max": 0.0024992944672703743,
|
| 1759 |
+
"clip_ratio/high_mean": 0.0006895661208545789,
|
| 1760 |
+
"clip_ratio/low_mean": 0.0011220419291930739,
|
| 1761 |
+
"clip_ratio/low_min": 0.0,
|
| 1762 |
+
"clip_ratio/region_mean": 0.001811608046409674,
|
| 1763 |
+
"epoch": 0.725,
|
| 1764 |
+
"grad_norm": 3.4523471680911384,
|
| 1765 |
+
"kl": 0.028104545082896948,
|
| 1766 |
+
"learning_rate": 1.8599656376116024e-07,
|
| 1767 |
+
"loss": 0.0008925870060920715,
|
| 1768 |
+
"step": 116,
|
| 1769 |
+
"step_time": 24.78544593602419
|
| 1770 |
+
},
|
| 1771 |
+
{
|
| 1772 |
+
"clip_ratio/high_max": 0.0019484558288240805,
|
| 1773 |
+
"clip_ratio/high_mean": 0.0005250617359706666,
|
| 1774 |
+
"clip_ratio/low_mean": 0.0011562893923837692,
|
| 1775 |
+
"clip_ratio/low_min": 0.0,
|
| 1776 |
+
"clip_ratio/region_mean": 0.0016813511465443298,
|
| 1777 |
+
"epoch": 0.73125,
|
| 1778 |
+
"grad_norm": 2.7451911195891388,
|
| 1779 |
+
"kl": 0.010697404970414937,
|
| 1780 |
+
"learning_rate": 1.7817510874845582e-07,
|
| 1781 |
+
"loss": 0.0003750985488295555,
|
| 1782 |
+
"step": 117,
|
| 1783 |
+
"step_time": 25.902589215897024
|
| 1784 |
+
},
|
| 1785 |
+
{
|
| 1786 |
+
"clip_ratio/high_max": 0.00874110592121724,
|
| 1787 |
+
"clip_ratio/high_mean": 0.0030371647553693037,
|
| 1788 |
+
"clip_ratio/low_mean": 0.0010490551958355354,
|
| 1789 |
+
"clip_ratio/low_min": 0.0,
|
| 1790 |
+
"clip_ratio/region_mean": 0.004086219938471913,
|
| 1791 |
+
"epoch": 0.7375,
|
| 1792 |
+
"grad_norm": 3.8635631568046636,
|
| 1793 |
+
"kl": 0.020631589693948627,
|
| 1794 |
+
"learning_rate": 1.7048585667553412e-07,
|
| 1795 |
+
"loss": 0.0001955423504114151,
|
| 1796 |
+
"step": 118,
|
| 1797 |
+
"step_time": 24.245086643844843
|
| 1798 |
+
},
|
| 1799 |
+
{
|
| 1800 |
+
"clip_ratio/high_max": 0.007139264867873862,
|
| 1801 |
+
"clip_ratio/high_mean": 0.0024620661642984487,
|
| 1802 |
+
"clip_ratio/low_mean": 0.0015657871299481485,
|
| 1803 |
+
"clip_ratio/low_min": 0.0,
|
| 1804 |
+
"clip_ratio/region_mean": 0.004027853312436491,
|
| 1805 |
+
"epoch": 0.74375,
|
| 1806 |
+
"grad_norm": 5.661842027588935,
|
| 1807 |
+
"kl": 0.055140248499810696,
|
| 1808 |
+
"learning_rate": 1.6293196622202632e-07,
|
| 1809 |
+
"loss": 0.001989663578569889,
|
| 1810 |
+
"step": 119,
|
| 1811 |
+
"step_time": 22.668785023503006
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"clip_ratio/high_max": 0.006877413048641756,
|
| 1815 |
+
"clip_ratio/high_mean": 0.002488244885171298,
|
| 1816 |
+
"clip_ratio/low_mean": 0.0005582967296504648,
|
| 1817 |
+
"clip_ratio/low_min": 0.0,
|
| 1818 |
+
"clip_ratio/region_mean": 0.003046541611183784,
|
| 1819 |
+
"epoch": 0.75,
|
| 1820 |
+
"grad_norm": 6.489454761072265,
|
| 1821 |
+
"kl": 0.027677682461217046,
|
| 1822 |
+
"learning_rate": 1.555165404621567e-07,
|
| 1823 |
+
"loss": 0.0009282324463129044,
|
| 1824 |
+
"step": 120,
|
| 1825 |
+
"step_time": 24.72197053115815
|
| 1826 |
+
},
|
| 1827 |
+
{
|
| 1828 |
+
"clip_ratio/high_max": 0.0,
|
| 1829 |
+
"clip_ratio/high_mean": 0.0,
|
| 1830 |
+
"clip_ratio/low_mean": 0.0,
|
| 1831 |
+
"clip_ratio/low_min": 0.0,
|
| 1832 |
+
"clip_ratio/region_mean": 0.0,
|
| 1833 |
+
"completions/clipped_ratio": 0.14453125,
|
| 1834 |
+
"completions/max_length": 2048.0,
|
| 1835 |
+
"completions/mean_length": 643.7734375,
|
| 1836 |
+
"completions/min_length": 68.0,
|
| 1837 |
+
"epoch": 0.75625,
|
| 1838 |
+
"frac_reward_zero_std": 0.25,
|
| 1839 |
+
"grad_norm": 2.153117878379725,
|
| 1840 |
+
"kl": 0.02426104713231325,
|
| 1841 |
+
"learning_rate": 1.4824262559002592e-07,
|
| 1842 |
+
"loss": 0.00024268688866868615,
|
| 1843 |
+
"reward": 0.421875,
|
| 1844 |
+
"reward_std": 0.32378628849983215,
|
| 1845 |
+
"rewards/MajorityAccuracy/mean": 0.421875,
|
| 1846 |
+
"rewards/MajorityAccuracy/std": 0.49482616782188416,
|
| 1847 |
+
"step": 121,
|
| 1848 |
+
"step_time": 181.66051422199234
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"clip_ratio/high_max": 0.0014186665939632803,
|
| 1852 |
+
"clip_ratio/high_mean": 0.0003897396018146537,
|
| 1853 |
+
"clip_ratio/low_mean": 0.000269338401267305,
|
| 1854 |
+
"clip_ratio/low_min": 0.0,
|
| 1855 |
+
"clip_ratio/region_mean": 0.0006590780067199375,
|
| 1856 |
+
"epoch": 0.7625,
|
| 1857 |
+
"grad_norm": 3.4862998639290095,
|
| 1858 |
+
"kl": 0.025164034217596054,
|
| 1859 |
+
"learning_rate": 1.4111320966826057e-07,
|
| 1860 |
+
"loss": 0.000420544296503067,
|
| 1861 |
+
"step": 122,
|
| 1862 |
+
"step_time": 24.6387906097807
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"clip_ratio/high_max": 0.002989096159581095,
|
| 1866 |
+
"clip_ratio/high_mean": 0.0010213146888418123,
|
| 1867 |
+
"clip_ratio/low_mean": 0.0021447987055580597,
|
| 1868 |
+
"clip_ratio/low_min": 0.0,
|
| 1869 |
+
"clip_ratio/region_mean": 0.003166113398037851,
|
| 1870 |
+
"epoch": 0.76875,
|
| 1871 |
+
"grad_norm": 2.788544083205481,
|
| 1872 |
+
"kl": 0.038733203429728746,
|
| 1873 |
+
"learning_rate": 1.3413122140054217e-07,
|
| 1874 |
+
"loss": 0.0002301940694451332,
|
| 1875 |
+
"step": 123,
|
| 1876 |
+
"step_time": 24.108364638872445
|
| 1877 |
+
},
|
| 1878 |
+
{
|
| 1879 |
+
"clip_ratio/high_max": 0.003125094808638096,
|
| 1880 |
+
"clip_ratio/high_mean": 0.0010724372987169772,
|
| 1881 |
+
"clip_ratio/low_mean": 0.00011407372949179262,
|
| 1882 |
+
"clip_ratio/low_min": 0.0,
|
| 1883 |
+
"clip_ratio/region_mean": 0.0011865110282087699,
|
| 1884 |
+
"epoch": 0.775,
|
| 1885 |
+
"grad_norm": 2.8826082693472017,
|
| 1886 |
+
"kl": 0.030851490097120404,
|
| 1887 |
+
"learning_rate": 1.272995289285202e-07,
|
| 1888 |
+
"loss": 0.00016912080172915012,
|
| 1889 |
+
"step": 124,
|
| 1890 |
+
"step_time": 25.265596106182784
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"clip_ratio/high_max": 0.006712413392961025,
|
| 1894 |
+
"clip_ratio/high_mean": 0.0018669251003302634,
|
| 1895 |
+
"clip_ratio/low_mean": 0.00099228008184582,
|
| 1896 |
+
"clip_ratio/low_min": 0.0,
|
| 1897 |
+
"clip_ratio/region_mean": 0.0028592052112799138,
|
| 1898 |
+
"epoch": 0.78125,
|
| 1899 |
+
"grad_norm": 4.5289885911803225,
|
| 1900 |
+
"kl": 0.029157961951568723,
|
| 1901 |
+
"learning_rate": 1.2062093865360457e-07,
|
| 1902 |
+
"loss": 0.0007396843284368515,
|
| 1903 |
+
"step": 125,
|
| 1904 |
+
"step_time": 24.873047617264092
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"clip_ratio/high_max": 0.007262448139954358,
|
| 1908 |
+
"clip_ratio/high_mean": 0.002312089258339256,
|
| 1909 |
+
"clip_ratio/low_mean": 0.001343338093647617,
|
| 1910 |
+
"clip_ratio/low_min": 0.0,
|
| 1911 |
+
"clip_ratio/region_mean": 0.0036554273901856504,
|
| 1912 |
+
"epoch": 0.7875,
|
| 1913 |
+
"grad_norm": 5.384350891903328,
|
| 1914 |
+
"kl": 0.04755130363628268,
|
| 1915 |
+
"learning_rate": 1.1409819408411897e-07,
|
| 1916 |
+
"loss": 0.0014473330229520798,
|
| 1917 |
+
"step": 126,
|
| 1918 |
+
"step_time": 22.751093410421163
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"clip_ratio/high_max": 0.0006389666814357042,
|
| 1922 |
+
"clip_ratio/high_mean": 0.00015974167035892606,
|
| 1923 |
+
"clip_ratio/low_mean": 0.00037955999141559005,
|
| 1924 |
+
"clip_ratio/low_min": 0.0,
|
| 1925 |
+
"clip_ratio/region_mean": 0.0005393016581365373,
|
| 1926 |
+
"epoch": 0.79375,
|
| 1927 |
+
"grad_norm": 1.303005814177819,
|
| 1928 |
+
"kl": 0.02461914694868028,
|
| 1929 |
+
"learning_rate": 1.0773397470829143e-07,
|
| 1930 |
+
"loss": 0.00018015191017184407,
|
| 1931 |
+
"step": 127,
|
| 1932 |
+
"step_time": 24.703044613823295
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"clip_ratio/high_max": 0.001717350780381821,
|
| 1936 |
+
"clip_ratio/high_mean": 0.0005060248040535953,
|
| 1937 |
+
"clip_ratio/low_mean": 0.000754391381633468,
|
| 1938 |
+
"clip_ratio/low_min": 0.0,
|
| 1939 |
+
"clip_ratio/region_mean": 0.0012604162002389785,
|
| 1940 |
+
"epoch": 0.8,
|
| 1941 |
+
"grad_norm": 6.139433435238711,
|
| 1942 |
+
"kl": 0.02554444782435894,
|
| 1943 |
+
"learning_rate": 1.0153089489354256e-07,
|
| 1944 |
+
"loss": 0.0012572528794407845,
|
| 1945 |
+
"step": 128,
|
| 1946 |
+
"step_time": 23.53158607147634
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"clip_ratio/high_max": 0.0,
|
| 1950 |
+
"clip_ratio/high_mean": 0.0,
|
| 1951 |
+
"clip_ratio/low_mean": 0.0,
|
| 1952 |
+
"clip_ratio/low_min": 0.0,
|
| 1953 |
+
"clip_ratio/region_mean": 0.0,
|
| 1954 |
+
"completions/clipped_ratio": 0.109375,
|
| 1955 |
+
"completions/max_length": 2048.0,
|
| 1956 |
+
"completions/mean_length": 701.77734375,
|
| 1957 |
+
"completions/min_length": 96.0,
|
| 1958 |
+
"epoch": 0.80625,
|
| 1959 |
+
"frac_reward_zero_std": 0.28125,
|
| 1960 |
+
"grad_norm": 1.4942059857380567,
|
| 1961 |
+
"kl": 0.018515312229283154,
|
| 1962 |
+
"learning_rate": 9.549150281252632e-08,
|
| 1963 |
+
"loss": 0.00018516277486924082,
|
| 1964 |
+
"reward": 0.43359375,
|
| 1965 |
+
"reward_std": 0.3257533311843872,
|
| 1966 |
+
"rewards/MajorityAccuracy/mean": 0.43359375,
|
| 1967 |
+
"rewards/MajorityAccuracy/std": 0.4965413510799408,
|
| 1968 |
+
"step": 129,
|
| 1969 |
+
"step_time": 181.47640796471387
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"clip_ratio/high_max": 0.0017779997433535755,
|
| 1973 |
+
"clip_ratio/high_mean": 0.00044449993583839387,
|
| 1974 |
+
"clip_ratio/low_mean": 0.0003385974487173371,
|
| 1975 |
+
"clip_ratio/low_min": 0.0,
|
| 1976 |
+
"clip_ratio/region_mean": 0.000783097384555731,
|
| 1977 |
+
"epoch": 0.8125,
|
| 1978 |
+
"grad_norm": 2.4957350519839077,
|
| 1979 |
+
"kl": 0.02508621127344668,
|
| 1980 |
+
"learning_rate": 8.961827939636196e-08,
|
| 1981 |
+
"loss": 0.0002633974945638329,
|
| 1982 |
+
"step": 130,
|
| 1983 |
+
"step_time": 22.77932652970776
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"clip_ratio/high_max": 0.0027794887428171933,
|
| 1987 |
+
"clip_ratio/high_mean": 0.0006948721857042983,
|
| 1988 |
+
"clip_ratio/low_mean": 0.0003098918023169972,
|
| 1989 |
+
"clip_ratio/low_min": 0.0,
|
| 1990 |
+
"clip_ratio/region_mean": 0.0010047639880212955,
|
| 1991 |
+
"epoch": 0.81875,
|
| 1992 |
+
"grad_norm": 4.000053145281806,
|
| 1993 |
+
"kl": 0.016045384691096842,
|
| 1994 |
+
"learning_rate": 8.391363731548811e-08,
|
| 1995 |
+
"loss": 0.0005064585711807013,
|
| 1996 |
+
"step": 131,
|
| 1997 |
+
"step_time": 24.520836324431002
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"clip_ratio/high_max": 0.0027434531511971727,
|
| 2001 |
+
"clip_ratio/high_mean": 0.0009057832248799969,
|
| 2002 |
+
"clip_ratio/low_mean": 0.0013701298339583445,
|
| 2003 |
+
"clip_ratio/low_min": 0.00015470296784769744,
|
| 2004 |
+
"clip_ratio/region_mean": 0.0022759130224585533,
|
| 2005 |
+
"epoch": 0.825,
|
| 2006 |
+
"grad_norm": 3.228197850167453,
|
| 2007 |
+
"kl": 0.031013467349112034,
|
| 2008 |
+
"learning_rate": 7.837991998855897e-08,
|
| 2009 |
+
"loss": 0.0003987615928053856,
|
| 2010 |
+
"step": 132,
|
| 2011 |
+
"step_time": 24.35424795234576
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"clip_ratio/high_max": 0.002018849627347663,
|
| 2015 |
+
"clip_ratio/high_mean": 0.0005448299307317939,
|
| 2016 |
+
"clip_ratio/low_mean": 0.000152587890625,
|
| 2017 |
+
"clip_ratio/low_min": 0.0,
|
| 2018 |
+
"clip_ratio/region_mean": 0.0006974178177188151,
|
| 2019 |
+
"epoch": 0.83125,
|
| 2020 |
+
"grad_norm": 2.5302613269570164,
|
| 2021 |
+
"kl": 0.02394848153926432,
|
| 2022 |
+
"learning_rate": 7.301940061978722e-08,
|
| 2023 |
+
"loss": 0.0003671912127174437,
|
| 2024 |
+
"step": 133,
|
| 2025 |
+
"step_time": 24.812364160548896
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"clip_ratio/high_max": 0.0030411765837925486,
|
| 2029 |
+
"clip_ratio/high_mean": 0.0008605753155279672,
|
| 2030 |
+
"clip_ratio/low_mean": 0.0005264460978651186,
|
| 2031 |
+
"clip_ratio/low_min": 0.0,
|
| 2032 |
+
"clip_ratio/region_mean": 0.0013870214024791494,
|
| 2033 |
+
"epoch": 0.8375,
|
| 2034 |
+
"grad_norm": 2.4399397608600704,
|
| 2035 |
+
"kl": 0.011691318126395345,
|
| 2036 |
+
"learning_rate": 6.783428126513125e-08,
|
| 2037 |
+
"loss": 0.00035769399255514145,
|
| 2038 |
+
"step": 134,
|
| 2039 |
+
"step_time": 23.85107445018366
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"clip_ratio/high_max": 0.002914530909038149,
|
| 2043 |
+
"clip_ratio/high_mean": 0.0007818695266905706,
|
| 2044 |
+
"clip_ratio/low_mean": 0.0006749165913788602,
|
| 2045 |
+
"clip_ratio/low_min": 0.0,
|
| 2046 |
+
"clip_ratio/region_mean": 0.0014567861035175156,
|
| 2047 |
+
"epoch": 0.84375,
|
| 2048 |
+
"grad_norm": 3.1701048319834997,
|
| 2049 |
+
"kl": 0.02692955150268972,
|
| 2050 |
+
"learning_rate": 6.282669192770895e-08,
|
| 2051 |
+
"loss": 0.0006305094575509429,
|
| 2052 |
+
"step": 135,
|
| 2053 |
+
"step_time": 25.043582652695477
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"clip_ratio/high_max": 0.003956293890951201,
|
| 2057 |
+
"clip_ratio/high_mean": 0.0009890734727378003,
|
| 2058 |
+
"clip_ratio/low_mean": 0.0017431625819881447,
|
| 2059 |
+
"clip_ratio/low_min": 0.0,
|
| 2060 |
+
"clip_ratio/region_mean": 0.0027322359892423265,
|
| 2061 |
+
"epoch": 0.85,
|
| 2062 |
+
"grad_norm": 6.309787663218345,
|
| 2063 |
+
"kl": 0.01816174457781017,
|
| 2064 |
+
"learning_rate": 5.799868968281074e-08,
|
| 2065 |
+
"loss": 0.0006853595259599388,
|
| 2066 |
+
"step": 136,
|
| 2067 |
+
"step_time": 24.226780608762056
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"clip_ratio/high_max": 0.0,
|
| 2071 |
+
"clip_ratio/high_mean": 0.0,
|
| 2072 |
+
"clip_ratio/low_mean": 0.0,
|
| 2073 |
+
"clip_ratio/low_min": 0.0,
|
| 2074 |
+
"clip_ratio/region_mean": 0.0,
|
| 2075 |
+
"completions/clipped_ratio": 0.25,
|
| 2076 |
+
"completions/max_length": 2048.0,
|
| 2077 |
+
"completions/mean_length": 874.69921875,
|
| 2078 |
+
"completions/min_length": 80.0,
|
| 2079 |
+
"epoch": 0.85625,
|
| 2080 |
+
"frac_reward_zero_std": 0.3125,
|
| 2081 |
+
"grad_norm": 1.2901454877093643,
|
| 2082 |
+
"kl": 0.01794887939468026,
|
| 2083 |
+
"learning_rate": 5.335225783287051e-08,
|
| 2084 |
+
"loss": 0.00017949219909496605,
|
| 2085 |
+
"reward": 0.3359375,
|
| 2086 |
+
"reward_std": 0.304455041885376,
|
| 2087 |
+
"rewards/MajorityAccuracy/mean": 0.3359375,
|
| 2088 |
+
"rewards/MajorityAccuracy/std": 0.4732423424720764,
|
| 2089 |
+
"step": 137,
|
| 2090 |
+
"step_time": 184.06394059257582
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"clip_ratio/high_max": 0.003017716502654366,
|
| 2094 |
+
"clip_ratio/high_mean": 0.0008629672629467677,
|
| 2095 |
+
"clip_ratio/low_mean": 0.002210470222053118,
|
| 2096 |
+
"clip_ratio/low_min": 0.0,
|
| 2097 |
+
"clip_ratio/region_mean": 0.003073437495913822,
|
| 2098 |
+
"epoch": 0.8625,
|
| 2099 |
+
"grad_norm": 4.654618457000781,
|
| 2100 |
+
"kl": 0.01841490692459047,
|
| 2101 |
+
"learning_rate": 4.888930509274125e-08,
|
| 2102 |
+
"loss": -6.196461617946625e-05,
|
| 2103 |
+
"step": 138,
|
| 2104 |
+
"step_time": 24.529710309114307
|
| 2105 |
+
},
|
| 2106 |
+
{
|
| 2107 |
+
"clip_ratio/high_max": 0.0022114876483101398,
|
| 2108 |
+
"clip_ratio/high_mean": 0.0006933213517186232,
|
| 2109 |
+
"clip_ratio/low_mean": 0.00017026290515786968,
|
| 2110 |
+
"clip_ratio/low_min": 0.0,
|
| 2111 |
+
"clip_ratio/region_mean": 0.0008635842605144717,
|
| 2112 |
+
"epoch": 0.86875,
|
| 2113 |
+
"grad_norm": 2.6834222200041458,
|
| 2114 |
+
"kl": 0.027394989039748907,
|
| 2115 |
+
"learning_rate": 4.4611664805611794e-08,
|
| 2116 |
+
"loss": 6.076198042137548e-05,
|
| 2117 |
+
"step": 139,
|
| 2118 |
+
"step_time": 24.255662749987096
|
| 2119 |
+
},
|
| 2120 |
+
{
|
| 2121 |
+
"clip_ratio/high_max": 0.0012455770338419825,
|
| 2122 |
+
"clip_ratio/high_mean": 0.0003113942584604956,
|
| 2123 |
+
"clip_ratio/low_mean": 0.00034186382617917843,
|
| 2124 |
+
"clip_ratio/low_min": 0.0,
|
| 2125 |
+
"clip_ratio/region_mean": 0.000653258084639674,
|
| 2126 |
+
"epoch": 0.875,
|
| 2127 |
+
"grad_norm": 2.1891985669139236,
|
| 2128 |
+
"kl": 0.019985553110018373,
|
| 2129 |
+
"learning_rate": 4.0521094189884696e-08,
|
| 2130 |
+
"loss": 0.00022457289742305875,
|
| 2131 |
+
"step": 140,
|
| 2132 |
+
"step_time": 24.38839391246438
|
| 2133 |
+
},
|
| 2134 |
+
{
|
| 2135 |
+
"clip_ratio/high_max": 0.0022284688893705606,
|
| 2136 |
+
"clip_ratio/high_mean": 0.0005571172223426402,
|
| 2137 |
+
"clip_ratio/low_mean": 0.0010212962297373451,
|
| 2138 |
+
"clip_ratio/low_min": 0.0,
|
| 2139 |
+
"clip_ratio/region_mean": 0.0015784134811838157,
|
| 2140 |
+
"epoch": 0.88125,
|
| 2141 |
+
"grad_norm": 3.128504290514939,
|
| 2142 |
+
"kl": 0.023765610996633768,
|
| 2143 |
+
"learning_rate": 3.6619273617325695e-08,
|
| 2144 |
+
"loss": 0.0007229488110169768,
|
| 2145 |
+
"step": 141,
|
| 2146 |
+
"step_time": 25.14083173358813
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"clip_ratio/high_max": 0.0004649078255170025,
|
| 2150 |
+
"clip_ratio/high_mean": 0.00011622695637925062,
|
| 2151 |
+
"clip_ratio/low_mean": 0.00012180470730527304,
|
| 2152 |
+
"clip_ratio/low_min": 0.0,
|
| 2153 |
+
"clip_ratio/region_mean": 0.00023803166368452366,
|
| 2154 |
+
"epoch": 0.8875,
|
| 2155 |
+
"grad_norm": 1.4746430737094118,
|
| 2156 |
+
"kl": 0.026893890695646405,
|
| 2157 |
+
"learning_rate": 3.2907805922781476e-08,
|
| 2158 |
+
"loss": 0.0005526706809177995,
|
| 2159 |
+
"step": 142,
|
| 2160 |
+
"step_time": 25.09106065193191
|
| 2161 |
+
},
|
| 2162 |
+
{
|
| 2163 |
+
"clip_ratio/high_max": 0.005163752241060138,
|
| 2164 |
+
"clip_ratio/high_mean": 0.0013843890192219988,
|
| 2165 |
+
"clip_ratio/low_mean": 0.0005321941134752706,
|
| 2166 |
+
"clip_ratio/low_min": 0.0,
|
| 2167 |
+
"clip_ratio/region_mean": 0.0019165831326972693,
|
| 2168 |
+
"epoch": 0.89375,
|
| 2169 |
+
"grad_norm": 4.796116164863861,
|
| 2170 |
+
"kl": 0.028787377988919616,
|
| 2171 |
+
"learning_rate": 2.9388215745748345e-08,
|
| 2172 |
+
"loss": 0.00023962464183568954,
|
| 2173 |
+
"step": 143,
|
| 2174 |
+
"step_time": 24.72295349324122
|
| 2175 |
+
},
|
| 2176 |
+
{
|
| 2177 |
+
"clip_ratio/high_max": 0.006954727286938578,
|
| 2178 |
+
"clip_ratio/high_mean": 0.002303481596754864,
|
| 2179 |
+
"clip_ratio/low_mean": 0.0018399724358459935,
|
| 2180 |
+
"clip_ratio/low_min": 0.0,
|
| 2181 |
+
"clip_ratio/region_mean": 0.004143454018048942,
|
| 2182 |
+
"epoch": 0.9,
|
| 2183 |
+
"grad_norm": 5.135254383250401,
|
| 2184 |
+
"kl": 0.03203576221130788,
|
| 2185 |
+
"learning_rate": 2.6061948904063658e-08,
|
| 2186 |
+
"loss": 0.0010435234289616346,
|
| 2187 |
+
"step": 144,
|
| 2188 |
+
"step_time": 22.3231020597741
|
| 2189 |
+
},
|
| 2190 |
+
{
|
| 2191 |
+
"clip_ratio/high_max": 0.0,
|
| 2192 |
+
"clip_ratio/high_mean": 0.0,
|
| 2193 |
+
"clip_ratio/low_mean": 0.0,
|
| 2194 |
+
"clip_ratio/low_min": 0.0,
|
| 2195 |
+
"clip_ratio/region_mean": 0.0,
|
| 2196 |
+
"completions/clipped_ratio": 0.1953125,
|
| 2197 |
+
"completions/max_length": 2048.0,
|
| 2198 |
+
"completions/mean_length": 823.125,
|
| 2199 |
+
"completions/min_length": 65.0,
|
| 2200 |
+
"epoch": 0.90625,
|
| 2201 |
+
"frac_reward_zero_std": 0.21875,
|
| 2202 |
+
"grad_norm": 2.12882005785719,
|
| 2203 |
+
"kl": 0.03510537534020841,
|
| 2204 |
+
"learning_rate": 2.293037179997559e-08,
|
| 2205 |
+
"loss": 0.0003509829693939537,
|
| 2206 |
+
"reward": 0.359375,
|
| 2207 |
+
"reward_std": 0.3353603482246399,
|
| 2208 |
+
"rewards/MajorityAccuracy/mean": 0.359375,
|
| 2209 |
+
"rewards/MajorityAccuracy/std": 0.4807571768760681,
|
| 2210 |
+
"step": 145,
|
| 2211 |
+
"step_time": 185.1893007569015
|
| 2212 |
+
},
|
| 2213 |
+
{
|
| 2214 |
+
"clip_ratio/high_max": 0.007391202845610678,
|
| 2215 |
+
"clip_ratio/high_mean": 0.00206038577016443,
|
| 2216 |
+
"clip_ratio/low_mean": 0.0014160471437207889,
|
| 2217 |
+
"clip_ratio/low_min": 0.0,
|
| 2218 |
+
"clip_ratio/region_mean": 0.0034764328447636217,
|
| 2219 |
+
"epoch": 0.9125,
|
| 2220 |
+
"grad_norm": 7.773241420145666,
|
| 2221 |
+
"kl": 0.013852762524038553,
|
| 2222 |
+
"learning_rate": 1.9994770858837107e-08,
|
| 2223 |
+
"loss": -4.9904920160770416e-05,
|
| 2224 |
+
"step": 146,
|
| 2225 |
+
"step_time": 25.05885120620951
|
| 2226 |
+
},
|
| 2227 |
+
{
|
| 2228 |
+
"clip_ratio/high_max": 0.0,
|
| 2229 |
+
"clip_ratio/high_mean": 0.0,
|
| 2230 |
+
"clip_ratio/low_mean": 0.0002751157298916951,
|
| 2231 |
+
"clip_ratio/low_min": 0.0,
|
| 2232 |
+
"clip_ratio/region_mean": 0.0002751157298916951,
|
| 2233 |
+
"epoch": 0.91875,
|
| 2234 |
+
"grad_norm": 2.0342520585043364,
|
| 2235 |
+
"kl": 0.023822985123842955,
|
| 2236 |
+
"learning_rate": 1.725635200065323e-08,
|
| 2237 |
+
"loss": 0.00024401575501542538,
|
| 2238 |
+
"step": 147,
|
| 2239 |
+
"step_time": 24.7170759155415
|
| 2240 |
+
},
|
| 2241 |
+
{
|
| 2242 |
+
"clip_ratio/high_max": 0.002574237121734768,
|
| 2243 |
+
"clip_ratio/high_mean": 0.000643559280433692,
|
| 2244 |
+
"clip_ratio/low_mean": 0.00022307676590571646,
|
| 2245 |
+
"clip_ratio/low_min": 0.0,
|
| 2246 |
+
"clip_ratio/region_mean": 0.0008666360445204191,
|
| 2247 |
+
"epoch": 0.925,
|
| 2248 |
+
"grad_norm": 2.1686180719510992,
|
| 2249 |
+
"kl": 0.016511363559402525,
|
| 2250 |
+
"learning_rate": 1.4716240144699187e-08,
|
| 2251 |
+
"loss": 0.0003834535600617528,
|
| 2252 |
+
"step": 148,
|
| 2253 |
+
"step_time": 24.701466805767268
|
| 2254 |
+
},
|
| 2255 |
+
{
|
| 2256 |
+
"clip_ratio/high_max": 0.0034430744708515704,
|
| 2257 |
+
"clip_ratio/high_mean": 0.0012442041916074231,
|
| 2258 |
+
"clip_ratio/low_mean": 0.0011874331466970034,
|
| 2259 |
+
"clip_ratio/low_min": 0.0,
|
| 2260 |
+
"clip_ratio/region_mean": 0.0024316373383044265,
|
| 2261 |
+
"epoch": 0.93125,
|
| 2262 |
+
"grad_norm": 5.458512217948682,
|
| 2263 |
+
"kl": 0.016237835749052465,
|
| 2264 |
+
"learning_rate": 1.2375478747413015e-08,
|
| 2265 |
+
"loss": 0.0006329668685793877,
|
| 2266 |
+
"step": 149,
|
| 2267 |
+
"step_time": 24.63124997774139
|
| 2268 |
+
},
|
| 2269 |
+
{
|
| 2270 |
+
"clip_ratio/high_max": 0.0019827992655336857,
|
| 2271 |
+
"clip_ratio/high_mean": 0.0006071742391213775,
|
| 2272 |
+
"clip_ratio/low_mean": 0.0005518667458090931,
|
| 2273 |
+
"clip_ratio/low_min": 0.0,
|
| 2274 |
+
"clip_ratio/region_mean": 0.0011590409994823858,
|
| 2275 |
+
"epoch": 0.9375,
|
| 2276 |
+
"grad_norm": 13.041952384889175,
|
| 2277 |
+
"kl": 0.014135191100649536,
|
| 2278 |
+
"learning_rate": 1.0235029373752757e-08,
|
| 2279 |
+
"loss": 0.0004027679096907377,
|
| 2280 |
+
"step": 150,
|
| 2281 |
+
"step_time": 24.85483159357682
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"clip_ratio/high_max": 0.0061735211638733745,
|
| 2285 |
+
"clip_ratio/high_mean": 0.0019042672065552324,
|
| 2286 |
+
"clip_ratio/low_mean": 0.0001279516436625272,
|
| 2287 |
+
"clip_ratio/low_min": 0.0,
|
| 2288 |
+
"clip_ratio/region_mean": 0.0020322188502177596,
|
| 2289 |
+
"epoch": 0.94375,
|
| 2290 |
+
"grad_norm": 7.225858388271463,
|
| 2291 |
+
"kl": 0.03300457680597901,
|
| 2292 |
+
"learning_rate": 8.295771302193721e-09,
|
| 2293 |
+
"loss": 0.0001865895465016365,
|
| 2294 |
+
"step": 151,
|
| 2295 |
+
"step_time": 23.459914714097977
|
| 2296 |
+
},
|
| 2297 |
+
{
|
| 2298 |
+
"clip_ratio/high_max": 0.003357184585183859,
|
| 2299 |
+
"clip_ratio/high_mean": 0.0010640114269335754,
|
| 2300 |
+
"clip_ratio/low_mean": 0.0008358918421436101,
|
| 2301 |
+
"clip_ratio/low_min": 0.0,
|
| 2302 |
+
"clip_ratio/region_mean": 0.0018999032690771855,
|
| 2303 |
+
"epoch": 0.95,
|
| 2304 |
+
"grad_norm": 2.021704458877521,
|
| 2305 |
+
"kl": 0.026009109569713473,
|
| 2306 |
+
"learning_rate": 6.558501163527963e-09,
|
| 2307 |
+
"loss": 5.353331653168425e-05,
|
| 2308 |
+
"step": 152,
|
| 2309 |
+
"step_time": 23.422796375583857
|
| 2310 |
+
},
|
| 2311 |
+
{
|
| 2312 |
+
"clip_ratio/high_max": 0.0,
|
| 2313 |
+
"clip_ratio/high_mean": 0.0,
|
| 2314 |
+
"clip_ratio/low_mean": 0.0,
|
| 2315 |
+
"clip_ratio/low_min": 0.0,
|
| 2316 |
+
"clip_ratio/region_mean": 0.0,
|
| 2317 |
+
"completions/clipped_ratio": 0.1015625,
|
| 2318 |
+
"completions/max_length": 2048.0,
|
| 2319 |
+
"completions/mean_length": 630.85546875,
|
| 2320 |
+
"completions/min_length": 75.0,
|
| 2321 |
+
"epoch": 0.95625,
|
| 2322 |
+
"frac_reward_zero_std": 0.375,
|
| 2323 |
+
"grad_norm": 2.1575015378414255,
|
| 2324 |
+
"kl": 0.022879542550072074,
|
| 2325 |
+
"learning_rate": 5.023932613615445e-09,
|
| 2326 |
+
"loss": 0.00022884564532432705,
|
| 2327 |
+
"reward": 0.5234375,
|
| 2328 |
+
"reward_std": 0.2885436713695526,
|
| 2329 |
+
"rewards/MajorityAccuracy/mean": 0.5234375,
|
| 2330 |
+
"rewards/MajorityAccuracy/std": 0.5004287362098694,
|
| 2331 |
+
"step": 153,
|
| 2332 |
+
"step_time": 177.1041503874585
|
| 2333 |
+
},
|
| 2334 |
+
{
|
| 2335 |
+
"clip_ratio/high_max": 0.0015324694541050121,
|
| 2336 |
+
"clip_ratio/high_mean": 0.00038311736352625303,
|
| 2337 |
+
"clip_ratio/low_mean": 0.0010349983058404177,
|
| 2338 |
+
"clip_ratio/low_min": 0.0,
|
| 2339 |
+
"clip_ratio/region_mean": 0.0014181156584527344,
|
| 2340 |
+
"epoch": 0.9625,
|
| 2341 |
+
"grad_norm": 2.1389403218819143,
|
| 2342 |
+
"kl": 0.016948901815339923,
|
| 2343 |
+
"learning_rate": 3.6926960402202666e-09,
|
| 2344 |
+
"loss": -0.00019742324366234243,
|
| 2345 |
+
"step": 154,
|
| 2346 |
+
"step_time": 24.617619512602687
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"clip_ratio/high_max": 0.0028427573561202735,
|
| 2350 |
+
"clip_ratio/high_mean": 0.0007106893390300684,
|
| 2351 |
+
"clip_ratio/low_mean": 0.00016711230273358524,
|
| 2352 |
+
"clip_ratio/low_min": 0.0,
|
| 2353 |
+
"clip_ratio/region_mean": 0.0008778016417636536,
|
| 2354 |
+
"epoch": 0.96875,
|
| 2355 |
+
"grad_norm": 3.2642420182436145,
|
| 2356 |
+
"kl": 0.02572147431783378,
|
| 2357 |
+
"learning_rate": 2.5653383040524224e-09,
|
| 2358 |
+
"loss": 5.610534572042525e-06,
|
| 2359 |
+
"step": 155,
|
| 2360 |
+
"step_time": 25.079640217125416
|
| 2361 |
+
},
|
| 2362 |
+
{
|
| 2363 |
+
"clip_ratio/high_max": 0.0047249751223716885,
|
| 2364 |
+
"clip_ratio/high_mean": 0.0014261909091146663,
|
| 2365 |
+
"clip_ratio/low_mean": 0.0004318634746596217,
|
| 2366 |
+
"clip_ratio/low_min": 0.0,
|
| 2367 |
+
"clip_ratio/region_mean": 0.0018580543764983304,
|
| 2368 |
+
"epoch": 0.975,
|
| 2369 |
+
"grad_norm": 4.018461321316175,
|
| 2370 |
+
"kl": 0.03214474464766681,
|
| 2371 |
+
"learning_rate": 1.642322514122385e-09,
|
| 2372 |
+
"loss": 0.00011714361608028412,
|
| 2373 |
+
"step": 156,
|
| 2374 |
+
"step_time": 24.54469154914841
|
| 2375 |
+
},
|
| 2376 |
+
{
|
| 2377 |
+
"clip_ratio/high_max": 0.001125379785662517,
|
| 2378 |
+
"clip_ratio/high_mean": 0.0003460447405814193,
|
| 2379 |
+
"clip_ratio/low_mean": 0.0002486233825038653,
|
| 2380 |
+
"clip_ratio/low_min": 0.0,
|
| 2381 |
+
"clip_ratio/region_mean": 0.0005946681230852846,
|
| 2382 |
+
"epoch": 0.98125,
|
| 2383 |
+
"grad_norm": 2.0285181166297535,
|
| 2384 |
+
"kl": 0.017363176913931966,
|
| 2385 |
+
"learning_rate": 9.240278374995636e-10,
|
| 2386 |
+
"loss": 0.0001132190300268121,
|
| 2387 |
+
"step": 157,
|
| 2388 |
+
"step_time": 23.92594990041107
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"clip_ratio/high_max": 0.005561994039453566,
|
| 2392 |
+
"clip_ratio/high_mean": 0.0019233944040024653,
|
| 2393 |
+
"clip_ratio/low_mean": 0.0004133894581173081,
|
| 2394 |
+
"clip_ratio/low_min": 0.0,
|
| 2395 |
+
"clip_ratio/region_mean": 0.0023367838584817946,
|
| 2396 |
+
"epoch": 0.9875,
|
| 2397 |
+
"grad_norm": 3.779771614134317,
|
| 2398 |
+
"kl": 0.03647417528554797,
|
| 2399 |
+
"learning_rate": 4.1074934355384006e-10,
|
| 2400 |
+
"loss": -0.00015152634296100587,
|
| 2401 |
+
"step": 158,
|
| 2402 |
+
"step_time": 23.600642101839185
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"clip_ratio/high_max": 0.0009575065632816404,
|
| 2406 |
+
"clip_ratio/high_mean": 0.0002393766408204101,
|
| 2407 |
+
"clip_ratio/low_mean": 0.00011665776764857583,
|
| 2408 |
+
"clip_ratio/low_min": 0.0,
|
| 2409 |
+
"clip_ratio/region_mean": 0.00035603440846898593,
|
| 2410 |
+
"epoch": 0.99375,
|
| 2411 |
+
"grad_norm": 1.0166856894098095,
|
| 2412 |
+
"kl": 0.02641974319703877,
|
| 2413 |
+
"learning_rate": 1.0269788274358537e-10,
|
| 2414 |
+
"loss": 0.0001666850585024804,
|
| 2415 |
+
"step": 159,
|
| 2416 |
+
"step_time": 24.56408547470346
|
| 2417 |
+
},
|
| 2418 |
+
{
|
| 2419 |
+
"clip_ratio/high_max": 0.004306247108615935,
|
| 2420 |
+
"clip_ratio/high_mean": 0.0011658474686555564,
|
| 2421 |
+
"clip_ratio/low_mean": 0.0005622100288746879,
|
| 2422 |
+
"clip_ratio/low_min": 0.0,
|
| 2423 |
+
"clip_ratio/region_mean": 0.0017280574975302443,
|
| 2424 |
+
"epoch": 1.0,
|
| 2425 |
+
"grad_norm": 2.7279545987487794,
|
| 2426 |
+
"kl": 0.028987658442929387,
|
| 2427 |
+
"learning_rate": 0.0,
|
| 2428 |
+
"loss": 0.00018614777945913374,
|
| 2429 |
+
"step": 160,
|
| 2430 |
+
"step_time": 23.525434003211558
|
| 2431 |
+
}
|
| 2432 |
+
],
|
| 2433 |
+
"logging_steps": 1,
|
| 2434 |
+
"max_steps": 160,
|
| 2435 |
+
"num_input_tokens_seen": 0,
|
| 2436 |
+
"num_train_epochs": 1,
|
| 2437 |
+
"save_steps": 80,
|
| 2438 |
+
"stateful_callbacks": {
|
| 2439 |
+
"TrainerControl": {
|
| 2440 |
+
"args": {
|
| 2441 |
+
"should_epoch_stop": false,
|
| 2442 |
+
"should_evaluate": false,
|
| 2443 |
+
"should_log": false,
|
| 2444 |
+
"should_save": true,
|
| 2445 |
+
"should_training_stop": true
|
| 2446 |
+
},
|
| 2447 |
+
"attributes": {}
|
| 2448 |
+
}
|
| 2449 |
+
},
|
| 2450 |
+
"total_flos": 0.0,
|
| 2451 |
+
"train_batch_size": 1,
|
| 2452 |
+
"trial_name": null,
|
| 2453 |
+
"trial_params": null
|
| 2454 |
+
}
|