Model save
Browse files- .gitattributes +1 -0
- README.md +68 -0
- added_tokens.json +24 -0
- config.json +30 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +209 -0
- trainer_state.json +1874 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
README.md
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-7B
|
| 3 |
+
library_name: transformers
|
| 4 |
+
model_name: RLVR-hotpot
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
- trl
|
| 8 |
+
- grpo
|
| 9 |
+
licence: license
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
# Model Card for RLVR-hotpot
|
| 13 |
+
|
| 14 |
+
This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B).
|
| 15 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
+
|
| 17 |
+
## Quick start
|
| 18 |
+
|
| 19 |
+
```python
|
| 20 |
+
from transformers import pipeline
|
| 21 |
+
|
| 22 |
+
question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
|
| 23 |
+
generator = pipeline("text-generation", model="Byanka/RLVR-hotpot", device="cuda")
|
| 24 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
| 25 |
+
print(output["generated_text"])
|
| 26 |
+
```
|
| 27 |
+
|
| 28 |
+
## Training procedure
|
| 29 |
+
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/wbbbb/RLCR/runs/9x9xyyl8)
|
| 31 |
+
|
| 32 |
+
|
| 33 |
+
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
| 34 |
+
|
| 35 |
+
### Framework versions
|
| 36 |
+
|
| 37 |
+
- TRL: 0.16.0.dev0
|
| 38 |
+
- Transformers: 4.48.3
|
| 39 |
+
- Pytorch: 2.5.1
|
| 40 |
+
- Datasets: 4.0.0
|
| 41 |
+
- Tokenizers: 0.21.4
|
| 42 |
+
|
| 43 |
+
## Citations
|
| 44 |
+
|
| 45 |
+
Cite GRPO as:
|
| 46 |
+
|
| 47 |
+
```bibtex
|
| 48 |
+
@article{zhihong2024deepseekmath,
|
| 49 |
+
title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
|
| 50 |
+
author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
|
| 51 |
+
year = 2024,
|
| 52 |
+
eprint = {arXiv:2402.03300},
|
| 53 |
+
}
|
| 54 |
+
|
| 55 |
+
```
|
| 56 |
+
|
| 57 |
+
Cite TRL as:
|
| 58 |
+
|
| 59 |
+
```bibtex
|
| 60 |
+
@misc{vonwerra2022trl,
|
| 61 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
| 62 |
+
author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
|
| 63 |
+
year = 2020,
|
| 64 |
+
journal = {GitHub repository},
|
| 65 |
+
publisher = {GitHub},
|
| 66 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
|
| 67 |
+
}
|
| 68 |
+
```
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2.5-7B",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151643,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 3584,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 18944,
|
| 13 |
+
"max_position_embeddings": 131072,
|
| 14 |
+
"max_window_layers": 28,
|
| 15 |
+
"model_type": "qwen2",
|
| 16 |
+
"num_attention_heads": 28,
|
| 17 |
+
"num_hidden_layers": 28,
|
| 18 |
+
"num_key_value_heads": 4,
|
| 19 |
+
"rms_norm_eps": 1e-06,
|
| 20 |
+
"rope_scaling": null,
|
| 21 |
+
"rope_theta": 1000000.0,
|
| 22 |
+
"sliding_window": null,
|
| 23 |
+
"tie_word_embeddings": false,
|
| 24 |
+
"torch_dtype": "bfloat16",
|
| 25 |
+
"transformers_version": "4.48.3",
|
| 26 |
+
"use_cache": false,
|
| 27 |
+
"use_mrope": false,
|
| 28 |
+
"use_sliding_window": false,
|
| 29 |
+
"vocab_size": 152064
|
| 30 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"eos_token_id": 151643,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"transformers_version": "4.48.3"
|
| 6 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:76a62b76dbd9ef20edc205117da313c9c91dba68e4e5bec0e3441ef3d98d157d
|
| 3 |
+
size 4877660776
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8dc8adf57e6824af6e7e5057c73a15ad9bf2be1beb9e449905c41fae1f4e8414
|
| 3 |
+
size 4932751008
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f113396c3be23c2629dc8e82e6b334f0de1fb4ebb436401a9c38cd865f02eb78
|
| 3 |
+
size 4330865200
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:06866aeef854fc2fe5aeec6854f2d43c8023f3e96e6de3440d250dd4b4a19474
|
| 3 |
+
size 1089994880
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 15231233024
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 92 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 104 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 116 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 128 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 140 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 164 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 224 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 248 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 260 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 265 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 272 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 273 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 274 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 275 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 276 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 277 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 278 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 279 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 280 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 281 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 282 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 283 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 284 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 285 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 287 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 288 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 290 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 291 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 292 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 293 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 294 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 295 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 296 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 297 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 308 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 320 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 321 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 322 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 323 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 324 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 325 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 326 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 332 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 333 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 334 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 335 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 336 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 337 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 338 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 339 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 340 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 341 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 342 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 343 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 344 |
+
"model.norm.weight": "model-00003-of-00004.safetensors"
|
| 345 |
+
}
|
| 346 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|endoftext|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5eee858c5123a4279c3e1f7b81247343f356ac767940b2692a928ad929543214
|
| 3 |
+
size 11422063
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|endoftext|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"extra_special_tokens": {},
|
| 203 |
+
"model_max_length": 131072,
|
| 204 |
+
"pad_token": "<|endoftext|>",
|
| 205 |
+
"padding_side": "left",
|
| 206 |
+
"split_special_tokens": false,
|
| 207 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 208 |
+
"unk_token": null
|
| 209 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1874 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9984,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 312,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"clip_ratio/high_max": 0.0,
|
| 13 |
+
"clip_ratio/high_mean": 0.0,
|
| 14 |
+
"clip_ratio/low_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_min": 0.0,
|
| 16 |
+
"clip_ratio/region_mean": 0.0,
|
| 17 |
+
"completions/clipped_ratio": 0.028125,
|
| 18 |
+
"completions/max_length": 1536.0,
|
| 19 |
+
"completions/max_terminated_length": 1430.2,
|
| 20 |
+
"completions/mean_length": 166.39462890625,
|
| 21 |
+
"completions/mean_terminated_length": 126.74219970703125,
|
| 22 |
+
"completions/min_length": 2.0,
|
| 23 |
+
"completions/min_terminated_length": 2.0,
|
| 24 |
+
"epoch": 0.016,
|
| 25 |
+
"grad_norm": 0.0278764758259058,
|
| 26 |
+
"learning_rate": 3.1249999999999997e-07,
|
| 27 |
+
"loss": 0.0308,
|
| 28 |
+
"num_tokens": 13404233.0,
|
| 29 |
+
"reward": 0.435546875,
|
| 30 |
+
"reward_std": 0.3221697866916656,
|
| 31 |
+
"rewards/accuracy_reward": 0.2009765625,
|
| 32 |
+
"rewards/brier_reward": 0.0,
|
| 33 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 34 |
+
"rewards/format_reward": 0.6701171875,
|
| 35 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 36 |
+
"step": 5
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"clip_ratio/high_max": 0.0,
|
| 40 |
+
"clip_ratio/high_mean": 0.0,
|
| 41 |
+
"clip_ratio/low_mean": 0.0,
|
| 42 |
+
"clip_ratio/low_min": 0.0,
|
| 43 |
+
"clip_ratio/region_mean": 0.0,
|
| 44 |
+
"completions/clipped_ratio": 0.02431640625,
|
| 45 |
+
"completions/max_length": 1536.0,
|
| 46 |
+
"completions/max_terminated_length": 1472.4,
|
| 47 |
+
"completions/mean_length": 162.2275390625,
|
| 48 |
+
"completions/mean_terminated_length": 128.01040344238282,
|
| 49 |
+
"completions/min_length": 2.0,
|
| 50 |
+
"completions/min_terminated_length": 2.0,
|
| 51 |
+
"epoch": 0.032,
|
| 52 |
+
"grad_norm": 0.022988498210906982,
|
| 53 |
+
"learning_rate": 6.249999999999999e-07,
|
| 54 |
+
"loss": 0.038,
|
| 55 |
+
"num_tokens": 27022115.0,
|
| 56 |
+
"reward": 0.462451171875,
|
| 57 |
+
"reward_std": 0.3004496514797211,
|
| 58 |
+
"rewards/accuracy_reward": 0.19091796875,
|
| 59 |
+
"rewards/brier_reward": 0.0,
|
| 60 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 61 |
+
"rewards/format_reward": 0.733984375,
|
| 62 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 63 |
+
"step": 10
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"clip_ratio/high_max": 0.0,
|
| 67 |
+
"clip_ratio/high_mean": 0.0,
|
| 68 |
+
"clip_ratio/low_mean": 0.0,
|
| 69 |
+
"clip_ratio/low_min": 0.0,
|
| 70 |
+
"clip_ratio/region_mean": 0.0,
|
| 71 |
+
"completions/clipped_ratio": 0.00947265625,
|
| 72 |
+
"completions/max_length": 1536.0,
|
| 73 |
+
"completions/max_terminated_length": 1380.6,
|
| 74 |
+
"completions/mean_length": 117.775,
|
| 75 |
+
"completions/mean_terminated_length": 104.22791290283203,
|
| 76 |
+
"completions/min_length": 3.6,
|
| 77 |
+
"completions/min_terminated_length": 3.6,
|
| 78 |
+
"epoch": 0.048,
|
| 79 |
+
"grad_norm": 0.025120964273810387,
|
| 80 |
+
"learning_rate": 9.374999999999999e-07,
|
| 81 |
+
"loss": 0.0318,
|
| 82 |
+
"num_tokens": 40133187.0,
|
| 83 |
+
"reward": 0.583056640625,
|
| 84 |
+
"reward_std": 0.2110624998807907,
|
| 85 |
+
"rewards/accuracy_reward": 0.24814453125,
|
| 86 |
+
"rewards/brier_reward": 0.0,
|
| 87 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 88 |
+
"rewards/format_reward": 0.91796875,
|
| 89 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 90 |
+
"step": 15
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"clip_ratio/high_max": 0.0,
|
| 94 |
+
"clip_ratio/high_mean": 0.0,
|
| 95 |
+
"clip_ratio/low_mean": 0.0,
|
| 96 |
+
"clip_ratio/low_min": 0.0,
|
| 97 |
+
"clip_ratio/region_mean": 0.0,
|
| 98 |
+
"completions/clipped_ratio": 0.0048828125,
|
| 99 |
+
"completions/max_length": 1536.0,
|
| 100 |
+
"completions/max_terminated_length": 1017.2,
|
| 101 |
+
"completions/mean_length": 87.47548828125,
|
| 102 |
+
"completions/mean_terminated_length": 80.37409057617188,
|
| 103 |
+
"completions/min_length": 8.8,
|
| 104 |
+
"completions/min_terminated_length": 8.8,
|
| 105 |
+
"epoch": 0.064,
|
| 106 |
+
"grad_norm": 0.00622530234977603,
|
| 107 |
+
"learning_rate": 1e-06,
|
| 108 |
+
"loss": 0.0215,
|
| 109 |
+
"num_tokens": 52803656.0,
|
| 110 |
+
"reward": 0.6568359375,
|
| 111 |
+
"reward_std": 0.15337491929531097,
|
| 112 |
+
"rewards/accuracy_reward": 0.3328125,
|
| 113 |
+
"rewards/brier_reward": 0.0,
|
| 114 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 115 |
+
"rewards/format_reward": 0.980859375,
|
| 116 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 117 |
+
"step": 20
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"clip_ratio/high_max": 0.0,
|
| 121 |
+
"clip_ratio/high_mean": 0.0,
|
| 122 |
+
"clip_ratio/low_mean": 0.0,
|
| 123 |
+
"clip_ratio/low_min": 0.0,
|
| 124 |
+
"clip_ratio/region_mean": 0.0,
|
| 125 |
+
"completions/clipped_ratio": 0.0005859375,
|
| 126 |
+
"completions/max_length": 1171.8,
|
| 127 |
+
"completions/max_terminated_length": 593.8,
|
| 128 |
+
"completions/mean_length": 73.31455078125,
|
| 129 |
+
"completions/mean_terminated_length": 72.45734252929688,
|
| 130 |
+
"completions/min_length": 13.6,
|
| 131 |
+
"completions/min_terminated_length": 13.6,
|
| 132 |
+
"epoch": 0.08,
|
| 133 |
+
"grad_norm": 0.01711602509021759,
|
| 134 |
+
"learning_rate": 1e-06,
|
| 135 |
+
"loss": 0.0012,
|
| 136 |
+
"num_tokens": 65343869.0,
|
| 137 |
+
"reward": 0.697216796875,
|
| 138 |
+
"reward_std": 0.1176684021949768,
|
| 139 |
+
"rewards/accuracy_reward": 0.39697265625,
|
| 140 |
+
"rewards/brier_reward": 0.0,
|
| 141 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 142 |
+
"rewards/format_reward": 0.9974609375,
|
| 143 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 144 |
+
"step": 25
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"clip_ratio/high_max": 0.0,
|
| 148 |
+
"clip_ratio/high_mean": 0.0,
|
| 149 |
+
"clip_ratio/low_mean": 0.0,
|
| 150 |
+
"clip_ratio/low_min": 0.0,
|
| 151 |
+
"clip_ratio/region_mean": 0.0,
|
| 152 |
+
"completions/clipped_ratio": 0.00029296875,
|
| 153 |
+
"completions/max_length": 1257.4,
|
| 154 |
+
"completions/max_terminated_length": 598.0,
|
| 155 |
+
"completions/mean_length": 72.3849609375,
|
| 156 |
+
"completions/mean_terminated_length": 71.9559326171875,
|
| 157 |
+
"completions/min_length": 18.0,
|
| 158 |
+
"completions/min_terminated_length": 18.0,
|
| 159 |
+
"epoch": 0.096,
|
| 160 |
+
"grad_norm": 0.0022409269586205482,
|
| 161 |
+
"learning_rate": 1e-06,
|
| 162 |
+
"loss": 0.0002,
|
| 163 |
+
"num_tokens": 77986019.0,
|
| 164 |
+
"reward": 0.699267578125,
|
| 165 |
+
"reward_std": 0.10926563590765,
|
| 166 |
+
"rewards/accuracy_reward": 0.4005859375,
|
| 167 |
+
"rewards/brier_reward": 0.0,
|
| 168 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 169 |
+
"rewards/format_reward": 0.99794921875,
|
| 170 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 171 |
+
"step": 30
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"clip_ratio/high_max": 0.0,
|
| 175 |
+
"clip_ratio/high_mean": 0.0,
|
| 176 |
+
"clip_ratio/low_mean": 0.0,
|
| 177 |
+
"clip_ratio/low_min": 0.0,
|
| 178 |
+
"clip_ratio/region_mean": 0.0,
|
| 179 |
+
"completions/clipped_ratio": 0.000390625,
|
| 180 |
+
"completions/max_length": 1141.6,
|
| 181 |
+
"completions/max_terminated_length": 687.8,
|
| 182 |
+
"completions/mean_length": 75.8130859375,
|
| 183 |
+
"completions/mean_terminated_length": 75.24237976074218,
|
| 184 |
+
"completions/min_length": 19.8,
|
| 185 |
+
"completions/min_terminated_length": 19.8,
|
| 186 |
+
"epoch": 0.112,
|
| 187 |
+
"grad_norm": 0.002861637622117996,
|
| 188 |
+
"learning_rate": 1e-06,
|
| 189 |
+
"loss": 0.0027,
|
| 190 |
+
"num_tokens": 90728137.0,
|
| 191 |
+
"reward": 0.71552734375,
|
| 192 |
+
"reward_std": 0.1081365168094635,
|
| 193 |
+
"rewards/accuracy_reward": 0.43212890625,
|
| 194 |
+
"rewards/brier_reward": 0.0,
|
| 195 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 196 |
+
"rewards/format_reward": 0.99892578125,
|
| 197 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 198 |
+
"step": 35
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"clip_ratio/high_max": 0.0,
|
| 202 |
+
"clip_ratio/high_mean": 0.0,
|
| 203 |
+
"clip_ratio/low_mean": 0.0,
|
| 204 |
+
"clip_ratio/low_min": 0.0,
|
| 205 |
+
"clip_ratio/region_mean": 0.0,
|
| 206 |
+
"completions/clipped_ratio": 0.00048828125,
|
| 207 |
+
"completions/max_length": 1178.2,
|
| 208 |
+
"completions/max_terminated_length": 563.4,
|
| 209 |
+
"completions/mean_length": 79.030859375,
|
| 210 |
+
"completions/mean_terminated_length": 78.31913757324219,
|
| 211 |
+
"completions/min_length": 20.8,
|
| 212 |
+
"completions/min_terminated_length": 20.8,
|
| 213 |
+
"epoch": 0.128,
|
| 214 |
+
"grad_norm": 0.0015531065873801708,
|
| 215 |
+
"learning_rate": 1e-06,
|
| 216 |
+
"loss": 0.0023,
|
| 217 |
+
"num_tokens": 103310405.0,
|
| 218 |
+
"reward": 0.713525390625,
|
| 219 |
+
"reward_std": 0.09464964717626571,
|
| 220 |
+
"rewards/accuracy_reward": 0.4279296875,
|
| 221 |
+
"rewards/brier_reward": 0.0,
|
| 222 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 223 |
+
"rewards/format_reward": 0.99912109375,
|
| 224 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 225 |
+
"step": 40
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"clip_ratio/high_max": 0.0,
|
| 229 |
+
"clip_ratio/high_mean": 0.0,
|
| 230 |
+
"clip_ratio/low_mean": 0.0,
|
| 231 |
+
"clip_ratio/low_min": 0.0,
|
| 232 |
+
"clip_ratio/region_mean": 0.0,
|
| 233 |
+
"completions/clipped_ratio": 0.00048828125,
|
| 234 |
+
"completions/max_length": 1106.2,
|
| 235 |
+
"completions/max_terminated_length": 417.8,
|
| 236 |
+
"completions/mean_length": 77.76083984375,
|
| 237 |
+
"completions/mean_terminated_length": 77.0487274169922,
|
| 238 |
+
"completions/min_length": 17.6,
|
| 239 |
+
"completions/min_terminated_length": 17.6,
|
| 240 |
+
"epoch": 0.144,
|
| 241 |
+
"grad_norm": 0.0022233380004763603,
|
| 242 |
+
"learning_rate": 1e-06,
|
| 243 |
+
"loss": 0.0017,
|
| 244 |
+
"num_tokens": 115913428.0,
|
| 245 |
+
"reward": 0.76220703125,
|
| 246 |
+
"reward_std": 0.09807199090719224,
|
| 247 |
+
"rewards/accuracy_reward": 0.52548828125,
|
| 248 |
+
"rewards/brier_reward": 0.0,
|
| 249 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 250 |
+
"rewards/format_reward": 0.99892578125,
|
| 251 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 252 |
+
"step": 45
|
| 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": 0.0001953125,
|
| 261 |
+
"completions/max_length": 853.4,
|
| 262 |
+
"completions/max_terminated_length": 390.8,
|
| 263 |
+
"completions/mean_length": 79.07109375,
|
| 264 |
+
"completions/mean_terminated_length": 78.78670043945313,
|
| 265 |
+
"completions/min_length": 23.6,
|
| 266 |
+
"completions/min_terminated_length": 23.6,
|
| 267 |
+
"epoch": 0.16,
|
| 268 |
+
"grad_norm": 0.0017749707913026214,
|
| 269 |
+
"learning_rate": 1e-06,
|
| 270 |
+
"loss": 0.001,
|
| 271 |
+
"num_tokens": 128600364.0,
|
| 272 |
+
"reward": 0.7380859375,
|
| 273 |
+
"reward_std": 0.09451625794172287,
|
| 274 |
+
"rewards/accuracy_reward": 0.4765625,
|
| 275 |
+
"rewards/brier_reward": 0.0,
|
| 276 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 277 |
+
"rewards/format_reward": 0.999609375,
|
| 278 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 279 |
+
"step": 50
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.16,
|
| 283 |
+
"eval_completions/clipped_ratio": 0.0,
|
| 284 |
+
"eval_completions/max_length": 232.5,
|
| 285 |
+
"eval_completions/max_terminated_length": 232.5,
|
| 286 |
+
"eval_completions/mean_length": 82.95326042175293,
|
| 287 |
+
"eval_completions/mean_terminated_length": 82.95326042175293,
|
| 288 |
+
"eval_completions/min_length": 28.25,
|
| 289 |
+
"eval_completions/min_terminated_length": 28.25,
|
| 290 |
+
"eval_loss": 0.0,
|
| 291 |
+
"eval_num_tokens": 128600364.0,
|
| 292 |
+
"eval_reward": 0.69140625,
|
| 293 |
+
"eval_reward_std": 0.24272222816944122,
|
| 294 |
+
"eval_rewards/accuracy_reward": 0.3828125,
|
| 295 |
+
"eval_rewards/brier_reward": 0.0,
|
| 296 |
+
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 297 |
+
"eval_rewards/format_reward": 1.0,
|
| 298 |
+
"eval_rewards/mean_confidence_reward": 0.0,
|
| 299 |
+
"eval_runtime": 13.311,
|
| 300 |
+
"eval_samples_per_second": 37.563,
|
| 301 |
+
"eval_steps_per_second": 0.301,
|
| 302 |
+
"step": 50
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"clip_ratio/high_max": 0.0,
|
| 306 |
+
"clip_ratio/high_mean": 0.0,
|
| 307 |
+
"clip_ratio/low_mean": 0.0,
|
| 308 |
+
"clip_ratio/low_min": 0.0,
|
| 309 |
+
"clip_ratio/region_mean": 0.0,
|
| 310 |
+
"completions/clipped_ratio": 0.00029296875,
|
| 311 |
+
"completions/max_length": 834.6,
|
| 312 |
+
"completions/max_terminated_length": 366.6,
|
| 313 |
+
"completions/mean_length": 83.1912109375,
|
| 314 |
+
"completions/mean_terminated_length": 82.76549530029297,
|
| 315 |
+
"completions/min_length": 21.0,
|
| 316 |
+
"completions/min_terminated_length": 21.0,
|
| 317 |
+
"epoch": 0.176,
|
| 318 |
+
"grad_norm": 0.0019512384897097945,
|
| 319 |
+
"learning_rate": 1e-06,
|
| 320 |
+
"loss": 0.0016,
|
| 321 |
+
"num_tokens": 141545682.0,
|
| 322 |
+
"reward": 0.733056640625,
|
| 323 |
+
"reward_std": 0.095227712392807,
|
| 324 |
+
"rewards/accuracy_reward": 0.46650390625,
|
| 325 |
+
"rewards/brier_reward": 0.0,
|
| 326 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 327 |
+
"rewards/format_reward": 0.999609375,
|
| 328 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 329 |
+
"step": 55
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"clip_ratio/high_max": 0.0,
|
| 333 |
+
"clip_ratio/high_mean": 0.0,
|
| 334 |
+
"clip_ratio/low_mean": 0.0,
|
| 335 |
+
"clip_ratio/low_min": 0.0,
|
| 336 |
+
"clip_ratio/region_mean": 0.0,
|
| 337 |
+
"completions/clipped_ratio": 0.00048828125,
|
| 338 |
+
"completions/max_length": 1311.4,
|
| 339 |
+
"completions/max_terminated_length": 485.4,
|
| 340 |
+
"completions/mean_length": 86.99189453125,
|
| 341 |
+
"completions/mean_terminated_length": 86.28425750732421,
|
| 342 |
+
"completions/min_length": 22.6,
|
| 343 |
+
"completions/min_terminated_length": 22.6,
|
| 344 |
+
"epoch": 0.192,
|
| 345 |
+
"grad_norm": 0.0016324262833222747,
|
| 346 |
+
"learning_rate": 1e-06,
|
| 347 |
+
"loss": 0.0021,
|
| 348 |
+
"num_tokens": 154107615.0,
|
| 349 |
+
"reward": 0.74697265625,
|
| 350 |
+
"reward_std": 0.08921304196119309,
|
| 351 |
+
"rewards/accuracy_reward": 0.4947265625,
|
| 352 |
+
"rewards/brier_reward": 0.0,
|
| 353 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 354 |
+
"rewards/format_reward": 0.99921875,
|
| 355 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 356 |
+
"step": 60
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"clip_ratio/high_max": 0.0,
|
| 360 |
+
"clip_ratio/high_mean": 0.0,
|
| 361 |
+
"clip_ratio/low_mean": 0.0,
|
| 362 |
+
"clip_ratio/low_min": 0.0,
|
| 363 |
+
"clip_ratio/region_mean": 0.0,
|
| 364 |
+
"completions/clipped_ratio": 0.000390625,
|
| 365 |
+
"completions/max_length": 1086.2,
|
| 366 |
+
"completions/max_terminated_length": 592.6,
|
| 367 |
+
"completions/mean_length": 90.79443359375,
|
| 368 |
+
"completions/mean_terminated_length": 90.22920989990234,
|
| 369 |
+
"completions/min_length": 28.2,
|
| 370 |
+
"completions/min_terminated_length": 28.2,
|
| 371 |
+
"epoch": 0.208,
|
| 372 |
+
"grad_norm": 0.0016499038320034742,
|
| 373 |
+
"learning_rate": 1e-06,
|
| 374 |
+
"loss": 0.0023,
|
| 375 |
+
"num_tokens": 166925894.0,
|
| 376 |
+
"reward": 0.77353515625,
|
| 377 |
+
"reward_std": 0.08650225400924683,
|
| 378 |
+
"rewards/accuracy_reward": 0.54765625,
|
| 379 |
+
"rewards/brier_reward": 0.0,
|
| 380 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 381 |
+
"rewards/format_reward": 0.9994140625,
|
| 382 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 383 |
+
"step": 65
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"clip_ratio/high_max": 0.0,
|
| 387 |
+
"clip_ratio/high_mean": 0.0,
|
| 388 |
+
"clip_ratio/low_mean": 0.0,
|
| 389 |
+
"clip_ratio/low_min": 0.0,
|
| 390 |
+
"clip_ratio/region_mean": 0.0,
|
| 391 |
+
"completions/clipped_ratio": 0.0009765625,
|
| 392 |
+
"completions/max_length": 1338.6,
|
| 393 |
+
"completions/max_terminated_length": 731.0,
|
| 394 |
+
"completions/mean_length": 96.20087890625,
|
| 395 |
+
"completions/mean_terminated_length": 94.7965301513672,
|
| 396 |
+
"completions/min_length": 28.6,
|
| 397 |
+
"completions/min_terminated_length": 28.6,
|
| 398 |
+
"epoch": 0.224,
|
| 399 |
+
"grad_norm": 0.001517058233730495,
|
| 400 |
+
"learning_rate": 1e-06,
|
| 401 |
+
"loss": 0.002,
|
| 402 |
+
"num_tokens": 179920495.0,
|
| 403 |
+
"reward": 0.74716796875,
|
| 404 |
+
"reward_std": 0.08538677096366883,
|
| 405 |
+
"rewards/accuracy_reward": 0.49560546875,
|
| 406 |
+
"rewards/brier_reward": 0.0,
|
| 407 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 408 |
+
"rewards/format_reward": 0.99873046875,
|
| 409 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 410 |
+
"step": 70
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"clip_ratio/high_max": 0.0,
|
| 414 |
+
"clip_ratio/high_mean": 0.0,
|
| 415 |
+
"clip_ratio/low_mean": 0.0,
|
| 416 |
+
"clip_ratio/low_min": 0.0,
|
| 417 |
+
"clip_ratio/region_mean": 0.0,
|
| 418 |
+
"completions/clipped_ratio": 0.00107421875,
|
| 419 |
+
"completions/max_length": 1536.0,
|
| 420 |
+
"completions/max_terminated_length": 574.4,
|
| 421 |
+
"completions/mean_length": 97.76240234375,
|
| 422 |
+
"completions/mean_terminated_length": 96.21627960205078,
|
| 423 |
+
"completions/min_length": 25.4,
|
| 424 |
+
"completions/min_terminated_length": 25.4,
|
| 425 |
+
"epoch": 0.24,
|
| 426 |
+
"grad_norm": 0.0017738911556079984,
|
| 427 |
+
"learning_rate": 1e-06,
|
| 428 |
+
"loss": 0.0028,
|
| 429 |
+
"num_tokens": 193029582.0,
|
| 430 |
+
"reward": 0.77578125,
|
| 431 |
+
"reward_std": 0.09508010596036912,
|
| 432 |
+
"rewards/accuracy_reward": 0.55283203125,
|
| 433 |
+
"rewards/brier_reward": 0.0,
|
| 434 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 435 |
+
"rewards/format_reward": 0.99873046875,
|
| 436 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 437 |
+
"step": 75
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"clip_ratio/high_max": 0.0,
|
| 441 |
+
"clip_ratio/high_mean": 0.0,
|
| 442 |
+
"clip_ratio/low_mean": 0.0,
|
| 443 |
+
"clip_ratio/low_min": 0.0,
|
| 444 |
+
"clip_ratio/region_mean": 0.0,
|
| 445 |
+
"completions/clipped_ratio": 0.0009765625,
|
| 446 |
+
"completions/max_length": 1319.4,
|
| 447 |
+
"completions/max_terminated_length": 417.2,
|
| 448 |
+
"completions/mean_length": 96.47294921875,
|
| 449 |
+
"completions/mean_terminated_length": 95.06647644042968,
|
| 450 |
+
"completions/min_length": 30.6,
|
| 451 |
+
"completions/min_terminated_length": 30.6,
|
| 452 |
+
"epoch": 0.256,
|
| 453 |
+
"grad_norm": 0.0015991576947271824,
|
| 454 |
+
"learning_rate": 1e-06,
|
| 455 |
+
"loss": 0.0029,
|
| 456 |
+
"num_tokens": 205928601.0,
|
| 457 |
+
"reward": 0.75869140625,
|
| 458 |
+
"reward_std": 0.08824991285800934,
|
| 459 |
+
"rewards/accuracy_reward": 0.518359375,
|
| 460 |
+
"rewards/brier_reward": 0.0,
|
| 461 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 462 |
+
"rewards/format_reward": 0.9990234375,
|
| 463 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 464 |
+
"step": 80
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"clip_ratio/high_max": 0.0,
|
| 468 |
+
"clip_ratio/high_mean": 0.0,
|
| 469 |
+
"clip_ratio/low_mean": 0.0,
|
| 470 |
+
"clip_ratio/low_min": 0.0,
|
| 471 |
+
"clip_ratio/region_mean": 0.0,
|
| 472 |
+
"completions/clipped_ratio": 0.00087890625,
|
| 473 |
+
"completions/max_length": 1536.0,
|
| 474 |
+
"completions/max_terminated_length": 459.0,
|
| 475 |
+
"completions/mean_length": 99.259765625,
|
| 476 |
+
"completions/mean_terminated_length": 97.99633331298828,
|
| 477 |
+
"completions/min_length": 31.0,
|
| 478 |
+
"completions/min_terminated_length": 31.0,
|
| 479 |
+
"epoch": 0.272,
|
| 480 |
+
"grad_norm": 0.0014954438665881753,
|
| 481 |
+
"learning_rate": 1e-06,
|
| 482 |
+
"loss": 0.0026,
|
| 483 |
+
"num_tokens": 218767037.0,
|
| 484 |
+
"reward": 0.7568359375,
|
| 485 |
+
"reward_std": 0.08405127227306367,
|
| 486 |
+
"rewards/accuracy_reward": 0.51484375,
|
| 487 |
+
"rewards/brier_reward": 0.0,
|
| 488 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 489 |
+
"rewards/format_reward": 0.998828125,
|
| 490 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 491 |
+
"step": 85
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"clip_ratio/high_max": 0.0,
|
| 495 |
+
"clip_ratio/high_mean": 0.0,
|
| 496 |
+
"clip_ratio/low_mean": 0.0,
|
| 497 |
+
"clip_ratio/low_min": 0.0,
|
| 498 |
+
"clip_ratio/region_mean": 0.0,
|
| 499 |
+
"completions/clipped_ratio": 0.00068359375,
|
| 500 |
+
"completions/max_length": 1149.6,
|
| 501 |
+
"completions/max_terminated_length": 682.4,
|
| 502 |
+
"completions/mean_length": 94.7064453125,
|
| 503 |
+
"completions/mean_terminated_length": 93.72140197753906,
|
| 504 |
+
"completions/min_length": 32.2,
|
| 505 |
+
"completions/min_terminated_length": 32.2,
|
| 506 |
+
"epoch": 0.288,
|
| 507 |
+
"grad_norm": 0.0017134748632088304,
|
| 508 |
+
"learning_rate": 1e-06,
|
| 509 |
+
"loss": 0.0026,
|
| 510 |
+
"num_tokens": 231551327.0,
|
| 511 |
+
"reward": 0.7654296875,
|
| 512 |
+
"reward_std": 0.08652912825345993,
|
| 513 |
+
"rewards/accuracy_reward": 0.53154296875,
|
| 514 |
+
"rewards/brier_reward": 0.0,
|
| 515 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 516 |
+
"rewards/format_reward": 0.99931640625,
|
| 517 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 518 |
+
"step": 90
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"clip_ratio/high_max": 0.0,
|
| 522 |
+
"clip_ratio/high_mean": 0.0,
|
| 523 |
+
"clip_ratio/low_mean": 0.0,
|
| 524 |
+
"clip_ratio/low_min": 0.0,
|
| 525 |
+
"clip_ratio/region_mean": 0.0,
|
| 526 |
+
"completions/clipped_ratio": 0.00078125,
|
| 527 |
+
"completions/max_length": 1091.0,
|
| 528 |
+
"completions/max_terminated_length": 413.2,
|
| 529 |
+
"completions/mean_length": 94.5794921875,
|
| 530 |
+
"completions/mean_terminated_length": 93.45206604003906,
|
| 531 |
+
"completions/min_length": 34.4,
|
| 532 |
+
"completions/min_terminated_length": 34.4,
|
| 533 |
+
"epoch": 0.304,
|
| 534 |
+
"grad_norm": 0.002114097587764263,
|
| 535 |
+
"learning_rate": 1e-06,
|
| 536 |
+
"loss": 0.0031,
|
| 537 |
+
"num_tokens": 244306093.0,
|
| 538 |
+
"reward": 0.762939453125,
|
| 539 |
+
"reward_std": 0.08613481372594833,
|
| 540 |
+
"rewards/accuracy_reward": 0.52705078125,
|
| 541 |
+
"rewards/brier_reward": 0.0,
|
| 542 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 543 |
+
"rewards/format_reward": 0.998828125,
|
| 544 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 545 |
+
"step": 95
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"clip_ratio/high_max": 0.0,
|
| 549 |
+
"clip_ratio/high_mean": 0.0,
|
| 550 |
+
"clip_ratio/low_mean": 0.0,
|
| 551 |
+
"clip_ratio/low_min": 0.0,
|
| 552 |
+
"clip_ratio/region_mean": 0.0,
|
| 553 |
+
"completions/clipped_ratio": 0.0005859375,
|
| 554 |
+
"completions/max_length": 1399.2,
|
| 555 |
+
"completions/max_terminated_length": 458.8,
|
| 556 |
+
"completions/mean_length": 91.70283203125,
|
| 557 |
+
"completions/mean_terminated_length": 90.85653686523438,
|
| 558 |
+
"completions/min_length": 33.8,
|
| 559 |
+
"completions/min_terminated_length": 33.8,
|
| 560 |
+
"epoch": 0.32,
|
| 561 |
+
"grad_norm": 0.00154271034989506,
|
| 562 |
+
"learning_rate": 1e-06,
|
| 563 |
+
"loss": 0.0023,
|
| 564 |
+
"num_tokens": 257190154.0,
|
| 565 |
+
"reward": 0.77060546875,
|
| 566 |
+
"reward_std": 0.06635084152221679,
|
| 567 |
+
"rewards/accuracy_reward": 0.5419921875,
|
| 568 |
+
"rewards/brier_reward": 0.0,
|
| 569 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 570 |
+
"rewards/format_reward": 0.99921875,
|
| 571 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 572 |
+
"step": 100
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 0.32,
|
| 576 |
+
"eval_completions/clipped_ratio": 0.0,
|
| 577 |
+
"eval_completions/max_length": 232.5,
|
| 578 |
+
"eval_completions/max_terminated_length": 232.5,
|
| 579 |
+
"eval_completions/mean_length": 93.95743560791016,
|
| 580 |
+
"eval_completions/mean_terminated_length": 93.95743560791016,
|
| 581 |
+
"eval_completions/min_length": 41.75,
|
| 582 |
+
"eval_completions/min_terminated_length": 41.75,
|
| 583 |
+
"eval_loss": 0.0,
|
| 584 |
+
"eval_num_tokens": 257190154.0,
|
| 585 |
+
"eval_reward": 0.712890625,
|
| 586 |
+
"eval_reward_std": 0.2481144778430462,
|
| 587 |
+
"eval_rewards/accuracy_reward": 0.42578125,
|
| 588 |
+
"eval_rewards/brier_reward": 0.0,
|
| 589 |
+
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 590 |
+
"eval_rewards/format_reward": 1.0,
|
| 591 |
+
"eval_rewards/mean_confidence_reward": 0.0,
|
| 592 |
+
"eval_runtime": 14.235,
|
| 593 |
+
"eval_samples_per_second": 35.125,
|
| 594 |
+
"eval_steps_per_second": 0.281,
|
| 595 |
+
"step": 100
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"clip_ratio/high_max": 0.0,
|
| 599 |
+
"clip_ratio/high_mean": 0.0,
|
| 600 |
+
"clip_ratio/low_mean": 0.0,
|
| 601 |
+
"clip_ratio/low_min": 0.0,
|
| 602 |
+
"clip_ratio/region_mean": 0.0,
|
| 603 |
+
"completions/clipped_ratio": 0.00146484375,
|
| 604 |
+
"completions/max_length": 1536.0,
|
| 605 |
+
"completions/max_terminated_length": 624.2,
|
| 606 |
+
"completions/mean_length": 94.64306640625,
|
| 607 |
+
"completions/mean_terminated_length": 92.5290313720703,
|
| 608 |
+
"completions/min_length": 30.4,
|
| 609 |
+
"completions/min_terminated_length": 30.4,
|
| 610 |
+
"epoch": 0.336,
|
| 611 |
+
"grad_norm": 0.001522217644378543,
|
| 612 |
+
"learning_rate": 1e-06,
|
| 613 |
+
"loss": 0.0043,
|
| 614 |
+
"num_tokens": 269738051.0,
|
| 615 |
+
"reward": 0.77568359375,
|
| 616 |
+
"reward_std": 0.07683707624673844,
|
| 617 |
+
"rewards/accuracy_reward": 0.5529296875,
|
| 618 |
+
"rewards/brier_reward": 0.0,
|
| 619 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 620 |
+
"rewards/format_reward": 0.9984375,
|
| 621 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 622 |
+
"step": 105
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"clip_ratio/high_max": 0.0,
|
| 626 |
+
"clip_ratio/high_mean": 0.0,
|
| 627 |
+
"clip_ratio/low_mean": 0.0,
|
| 628 |
+
"clip_ratio/low_min": 0.0,
|
| 629 |
+
"clip_ratio/region_mean": 0.0,
|
| 630 |
+
"completions/clipped_ratio": 0.001171875,
|
| 631 |
+
"completions/max_length": 1307.4,
|
| 632 |
+
"completions/max_terminated_length": 435.8,
|
| 633 |
+
"completions/mean_length": 94.1294921875,
|
| 634 |
+
"completions/mean_terminated_length": 92.43776245117188,
|
| 635 |
+
"completions/min_length": 21.8,
|
| 636 |
+
"completions/min_terminated_length": 21.8,
|
| 637 |
+
"epoch": 0.352,
|
| 638 |
+
"grad_norm": 0.001526491018012166,
|
| 639 |
+
"learning_rate": 1e-06,
|
| 640 |
+
"loss": 0.0039,
|
| 641 |
+
"num_tokens": 282818673.0,
|
| 642 |
+
"reward": 0.745751953125,
|
| 643 |
+
"reward_std": 0.08200332224369049,
|
| 644 |
+
"rewards/accuracy_reward": 0.49306640625,
|
| 645 |
+
"rewards/brier_reward": 0.0,
|
| 646 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 647 |
+
"rewards/format_reward": 0.9984375,
|
| 648 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 649 |
+
"step": 110
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"clip_ratio/high_max": 0.0,
|
| 653 |
+
"clip_ratio/high_mean": 0.0,
|
| 654 |
+
"clip_ratio/low_mean": 0.0,
|
| 655 |
+
"clip_ratio/low_min": 0.0,
|
| 656 |
+
"clip_ratio/region_mean": 0.0,
|
| 657 |
+
"completions/clipped_ratio": 0.0013671875,
|
| 658 |
+
"completions/max_length": 1536.0,
|
| 659 |
+
"completions/max_terminated_length": 588.4,
|
| 660 |
+
"completions/mean_length": 92.6953125,
|
| 661 |
+
"completions/mean_terminated_length": 90.7186294555664,
|
| 662 |
+
"completions/min_length": 30.6,
|
| 663 |
+
"completions/min_terminated_length": 30.6,
|
| 664 |
+
"epoch": 0.368,
|
| 665 |
+
"grad_norm": 0.0013903952203691006,
|
| 666 |
+
"learning_rate": 1e-06,
|
| 667 |
+
"loss": 0.0039,
|
| 668 |
+
"num_tokens": 295689665.0,
|
| 669 |
+
"reward": 0.754443359375,
|
| 670 |
+
"reward_std": 0.07026491463184356,
|
| 671 |
+
"rewards/accuracy_reward": 0.5103515625,
|
| 672 |
+
"rewards/brier_reward": 0.0,
|
| 673 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 674 |
+
"rewards/format_reward": 0.99853515625,
|
| 675 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 676 |
+
"step": 115
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"clip_ratio/high_max": 0.0,
|
| 680 |
+
"clip_ratio/high_mean": 0.0,
|
| 681 |
+
"clip_ratio/low_mean": 0.0,
|
| 682 |
+
"clip_ratio/low_min": 0.0,
|
| 683 |
+
"clip_ratio/region_mean": 0.0,
|
| 684 |
+
"completions/clipped_ratio": 0.0009765625,
|
| 685 |
+
"completions/max_length": 1296.6,
|
| 686 |
+
"completions/max_terminated_length": 561.2,
|
| 687 |
+
"completions/mean_length": 91.94736328125,
|
| 688 |
+
"completions/mean_terminated_length": 90.53576354980468,
|
| 689 |
+
"completions/min_length": 32.0,
|
| 690 |
+
"completions/min_terminated_length": 32.0,
|
| 691 |
+
"epoch": 0.384,
|
| 692 |
+
"grad_norm": 0.0018187090754508972,
|
| 693 |
+
"learning_rate": 1e-06,
|
| 694 |
+
"loss": 0.0033,
|
| 695 |
+
"num_tokens": 308344038.0,
|
| 696 |
+
"reward": 0.7708984375,
|
| 697 |
+
"reward_std": 0.07117158472537995,
|
| 698 |
+
"rewards/accuracy_reward": 0.54296875,
|
| 699 |
+
"rewards/brier_reward": 0.0,
|
| 700 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 701 |
+
"rewards/format_reward": 0.998828125,
|
| 702 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 703 |
+
"step": 120
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"clip_ratio/high_max": 0.0,
|
| 707 |
+
"clip_ratio/high_mean": 0.0,
|
| 708 |
+
"clip_ratio/low_mean": 0.0,
|
| 709 |
+
"clip_ratio/low_min": 0.0,
|
| 710 |
+
"clip_ratio/region_mean": 0.0,
|
| 711 |
+
"completions/clipped_ratio": 0.001171875,
|
| 712 |
+
"completions/max_length": 1305.0,
|
| 713 |
+
"completions/max_terminated_length": 520.2,
|
| 714 |
+
"completions/mean_length": 89.5787109375,
|
| 715 |
+
"completions/mean_terminated_length": 87.88221435546875,
|
| 716 |
+
"completions/min_length": 29.4,
|
| 717 |
+
"completions/min_terminated_length": 29.4,
|
| 718 |
+
"epoch": 0.4,
|
| 719 |
+
"grad_norm": 0.0016340231522917747,
|
| 720 |
+
"learning_rate": 1e-06,
|
| 721 |
+
"loss": 0.0038,
|
| 722 |
+
"num_tokens": 321154092.0,
|
| 723 |
+
"reward": 0.76103515625,
|
| 724 |
+
"reward_std": 0.07767283618450165,
|
| 725 |
+
"rewards/accuracy_reward": 0.52333984375,
|
| 726 |
+
"rewards/brier_reward": 0.0,
|
| 727 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 728 |
+
"rewards/format_reward": 0.99873046875,
|
| 729 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 730 |
+
"step": 125
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"clip_ratio/high_max": 0.0,
|
| 734 |
+
"clip_ratio/high_mean": 0.0,
|
| 735 |
+
"clip_ratio/low_mean": 0.0,
|
| 736 |
+
"clip_ratio/low_min": 0.0,
|
| 737 |
+
"clip_ratio/region_mean": 0.0,
|
| 738 |
+
"completions/clipped_ratio": 0.00068359375,
|
| 739 |
+
"completions/max_length": 1244.4,
|
| 740 |
+
"completions/max_terminated_length": 590.0,
|
| 741 |
+
"completions/mean_length": 89.6955078125,
|
| 742 |
+
"completions/mean_terminated_length": 88.70513153076172,
|
| 743 |
+
"completions/min_length": 31.8,
|
| 744 |
+
"completions/min_terminated_length": 31.8,
|
| 745 |
+
"epoch": 0.416,
|
| 746 |
+
"grad_norm": 0.0015821981942281127,
|
| 747 |
+
"learning_rate": 1e-06,
|
| 748 |
+
"loss": 0.0019,
|
| 749 |
+
"num_tokens": 333810078.0,
|
| 750 |
+
"reward": 0.764208984375,
|
| 751 |
+
"reward_std": 0.06756853386759758,
|
| 752 |
+
"rewards/accuracy_reward": 0.5291015625,
|
| 753 |
+
"rewards/brier_reward": 0.0,
|
| 754 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 755 |
+
"rewards/format_reward": 0.99931640625,
|
| 756 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 757 |
+
"step": 130
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"clip_ratio/high_max": 0.0,
|
| 761 |
+
"clip_ratio/high_mean": 0.0,
|
| 762 |
+
"clip_ratio/low_mean": 0.0,
|
| 763 |
+
"clip_ratio/low_min": 0.0,
|
| 764 |
+
"clip_ratio/region_mean": 0.0,
|
| 765 |
+
"completions/clipped_ratio": 0.00048828125,
|
| 766 |
+
"completions/max_length": 1174.4,
|
| 767 |
+
"completions/max_terminated_length": 537.0,
|
| 768 |
+
"completions/mean_length": 90.36181640625,
|
| 769 |
+
"completions/mean_terminated_length": 89.65568542480469,
|
| 770 |
+
"completions/min_length": 35.0,
|
| 771 |
+
"completions/min_terminated_length": 35.0,
|
| 772 |
+
"epoch": 0.432,
|
| 773 |
+
"grad_norm": 0.0014525202568620443,
|
| 774 |
+
"learning_rate": 1e-06,
|
| 775 |
+
"loss": 0.0025,
|
| 776 |
+
"num_tokens": 346606039.0,
|
| 777 |
+
"reward": 0.7806640625,
|
| 778 |
+
"reward_std": 0.06507465690374374,
|
| 779 |
+
"rewards/accuracy_reward": 0.56181640625,
|
| 780 |
+
"rewards/brier_reward": 0.0,
|
| 781 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 782 |
+
"rewards/format_reward": 0.99951171875,
|
| 783 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 784 |
+
"step": 135
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"clip_ratio/high_max": 0.0,
|
| 788 |
+
"clip_ratio/high_mean": 0.0,
|
| 789 |
+
"clip_ratio/low_mean": 0.0,
|
| 790 |
+
"clip_ratio/low_min": 0.0,
|
| 791 |
+
"clip_ratio/region_mean": 0.0,
|
| 792 |
+
"completions/clipped_ratio": 0.00068359375,
|
| 793 |
+
"completions/max_length": 1301.0,
|
| 794 |
+
"completions/max_terminated_length": 503.6,
|
| 795 |
+
"completions/mean_length": 94.90302734375,
|
| 796 |
+
"completions/mean_terminated_length": 93.91733856201172,
|
| 797 |
+
"completions/min_length": 42.2,
|
| 798 |
+
"completions/min_terminated_length": 42.2,
|
| 799 |
+
"epoch": 0.448,
|
| 800 |
+
"grad_norm": 0.0015080425655469298,
|
| 801 |
+
"learning_rate": 1e-06,
|
| 802 |
+
"loss": 0.0023,
|
| 803 |
+
"num_tokens": 359386966.0,
|
| 804 |
+
"reward": 0.76650390625,
|
| 805 |
+
"reward_std": 0.069513601064682,
|
| 806 |
+
"rewards/accuracy_reward": 0.53369140625,
|
| 807 |
+
"rewards/brier_reward": 0.0,
|
| 808 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 809 |
+
"rewards/format_reward": 0.99931640625,
|
| 810 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 811 |
+
"step": 140
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"clip_ratio/high_max": 0.0,
|
| 815 |
+
"clip_ratio/high_mean": 0.0,
|
| 816 |
+
"clip_ratio/low_mean": 0.0,
|
| 817 |
+
"clip_ratio/low_min": 0.0,
|
| 818 |
+
"clip_ratio/region_mean": 0.0,
|
| 819 |
+
"completions/clipped_ratio": 0.00185546875,
|
| 820 |
+
"completions/max_length": 1536.0,
|
| 821 |
+
"completions/max_terminated_length": 541.6,
|
| 822 |
+
"completions/mean_length": 99.85595703125,
|
| 823 |
+
"completions/mean_terminated_length": 97.19031372070313,
|
| 824 |
+
"completions/min_length": 40.8,
|
| 825 |
+
"completions/min_terminated_length": 40.8,
|
| 826 |
+
"epoch": 0.464,
|
| 827 |
+
"grad_norm": 0.0010223939316347241,
|
| 828 |
+
"learning_rate": 1e-06,
|
| 829 |
+
"loss": 0.0047,
|
| 830 |
+
"num_tokens": 372436627.0,
|
| 831 |
+
"reward": 0.7345703125,
|
| 832 |
+
"reward_std": 0.05768234580755234,
|
| 833 |
+
"rewards/accuracy_reward": 0.47109375,
|
| 834 |
+
"rewards/brier_reward": 0.0,
|
| 835 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 836 |
+
"rewards/format_reward": 0.998046875,
|
| 837 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 838 |
+
"step": 145
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"clip_ratio/high_max": 0.0,
|
| 842 |
+
"clip_ratio/high_mean": 0.0,
|
| 843 |
+
"clip_ratio/low_mean": 0.0,
|
| 844 |
+
"clip_ratio/low_min": 0.0,
|
| 845 |
+
"clip_ratio/region_mean": 0.0,
|
| 846 |
+
"completions/clipped_ratio": 0.00068359375,
|
| 847 |
+
"completions/max_length": 1303.2,
|
| 848 |
+
"completions/max_terminated_length": 405.6,
|
| 849 |
+
"completions/mean_length": 98.14833984375,
|
| 850 |
+
"completions/mean_terminated_length": 97.16446533203126,
|
| 851 |
+
"completions/min_length": 43.8,
|
| 852 |
+
"completions/min_terminated_length": 43.8,
|
| 853 |
+
"epoch": 0.48,
|
| 854 |
+
"grad_norm": 0.0016905076336115599,
|
| 855 |
+
"learning_rate": 1e-06,
|
| 856 |
+
"loss": 0.0023,
|
| 857 |
+
"num_tokens": 385346018.0,
|
| 858 |
+
"reward": 0.769873046875,
|
| 859 |
+
"reward_std": 0.07736360728740692,
|
| 860 |
+
"rewards/accuracy_reward": 0.5408203125,
|
| 861 |
+
"rewards/brier_reward": 0.0,
|
| 862 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 863 |
+
"rewards/format_reward": 0.99892578125,
|
| 864 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 865 |
+
"step": 150
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.48,
|
| 869 |
+
"eval_completions/clipped_ratio": 0.001953125,
|
| 870 |
+
"eval_completions/max_length": 582.5,
|
| 871 |
+
"eval_completions/max_terminated_length": 264.0,
|
| 872 |
+
"eval_completions/mean_length": 101.61126136779785,
|
| 873 |
+
"eval_completions/mean_terminated_length": 98.80445098876953,
|
| 874 |
+
"eval_completions/min_length": 51.25,
|
| 875 |
+
"eval_completions/min_terminated_length": 51.25,
|
| 876 |
+
"eval_loss": 0.0,
|
| 877 |
+
"eval_num_tokens": 385346018.0,
|
| 878 |
+
"eval_reward": 0.7265625,
|
| 879 |
+
"eval_reward_std": 0.2514254078269005,
|
| 880 |
+
"eval_rewards/accuracy_reward": 0.455078125,
|
| 881 |
+
"eval_rewards/brier_reward": 0.0,
|
| 882 |
+
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 883 |
+
"eval_rewards/format_reward": 0.998046875,
|
| 884 |
+
"eval_rewards/mean_confidence_reward": 0.0,
|
| 885 |
+
"eval_runtime": 24.3286,
|
| 886 |
+
"eval_samples_per_second": 20.552,
|
| 887 |
+
"eval_steps_per_second": 0.164,
|
| 888 |
+
"step": 150
|
| 889 |
+
},
|
| 890 |
+
{
|
| 891 |
+
"clip_ratio/high_max": 0.0,
|
| 892 |
+
"clip_ratio/high_mean": 0.0,
|
| 893 |
+
"clip_ratio/low_mean": 0.0,
|
| 894 |
+
"clip_ratio/low_min": 0.0,
|
| 895 |
+
"clip_ratio/region_mean": 0.0,
|
| 896 |
+
"completions/clipped_ratio": 0.00078125,
|
| 897 |
+
"completions/max_length": 1536.0,
|
| 898 |
+
"completions/max_terminated_length": 386.0,
|
| 899 |
+
"completions/mean_length": 97.898046875,
|
| 900 |
+
"completions/mean_terminated_length": 96.7735092163086,
|
| 901 |
+
"completions/min_length": 40.2,
|
| 902 |
+
"completions/min_terminated_length": 40.2,
|
| 903 |
+
"epoch": 0.496,
|
| 904 |
+
"grad_norm": 0.001528796274214983,
|
| 905 |
+
"learning_rate": 1e-06,
|
| 906 |
+
"loss": 0.0029,
|
| 907 |
+
"num_tokens": 398512654.0,
|
| 908 |
+
"reward": 0.7744140625,
|
| 909 |
+
"reward_std": 0.0720748171210289,
|
| 910 |
+
"rewards/accuracy_reward": 0.549609375,
|
| 911 |
+
"rewards/brier_reward": 0.0,
|
| 912 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 913 |
+
"rewards/format_reward": 0.99921875,
|
| 914 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 915 |
+
"step": 155
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"clip_ratio/high_max": 0.0,
|
| 919 |
+
"clip_ratio/high_mean": 0.0,
|
| 920 |
+
"clip_ratio/low_mean": 0.0,
|
| 921 |
+
"clip_ratio/low_min": 0.0,
|
| 922 |
+
"clip_ratio/region_mean": 0.0,
|
| 923 |
+
"completions/clipped_ratio": 0.00048828125,
|
| 924 |
+
"completions/max_length": 1317.0,
|
| 925 |
+
"completions/max_terminated_length": 399.8,
|
| 926 |
+
"completions/mean_length": 95.37158203125,
|
| 927 |
+
"completions/mean_terminated_length": 94.66787719726562,
|
| 928 |
+
"completions/min_length": 40.8,
|
| 929 |
+
"completions/min_terminated_length": 40.8,
|
| 930 |
+
"epoch": 0.512,
|
| 931 |
+
"grad_norm": 0.00132983538787812,
|
| 932 |
+
"learning_rate": 1e-06,
|
| 933 |
+
"loss": 0.0025,
|
| 934 |
+
"num_tokens": 411491243.0,
|
| 935 |
+
"reward": 0.779931640625,
|
| 936 |
+
"reward_std": 0.06670133695006371,
|
| 937 |
+
"rewards/accuracy_reward": 0.56044921875,
|
| 938 |
+
"rewards/brier_reward": 0.0,
|
| 939 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 940 |
+
"rewards/format_reward": 0.9994140625,
|
| 941 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 942 |
+
"step": 160
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"clip_ratio/high_max": 0.0,
|
| 946 |
+
"clip_ratio/high_mean": 0.0,
|
| 947 |
+
"clip_ratio/low_mean": 0.0,
|
| 948 |
+
"clip_ratio/low_min": 0.0,
|
| 949 |
+
"clip_ratio/region_mean": 0.0,
|
| 950 |
+
"completions/clipped_ratio": 0.0009765625,
|
| 951 |
+
"completions/max_length": 1341.4,
|
| 952 |
+
"completions/max_terminated_length": 662.8,
|
| 953 |
+
"completions/mean_length": 96.72470703125,
|
| 954 |
+
"completions/mean_terminated_length": 95.31717834472656,
|
| 955 |
+
"completions/min_length": 42.0,
|
| 956 |
+
"completions/min_terminated_length": 42.0,
|
| 957 |
+
"epoch": 0.528,
|
| 958 |
+
"grad_norm": 0.001326797646470368,
|
| 959 |
+
"learning_rate": 1e-06,
|
| 960 |
+
"loss": 0.0037,
|
| 961 |
+
"num_tokens": 424367560.0,
|
| 962 |
+
"reward": 0.77578125,
|
| 963 |
+
"reward_std": 0.06582950651645661,
|
| 964 |
+
"rewards/accuracy_reward": 0.5525390625,
|
| 965 |
+
"rewards/brier_reward": 0.0,
|
| 966 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 967 |
+
"rewards/format_reward": 0.9990234375,
|
| 968 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 969 |
+
"step": 165
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"clip_ratio/high_max": 0.0,
|
| 973 |
+
"clip_ratio/high_mean": 0.0,
|
| 974 |
+
"clip_ratio/low_mean": 0.0,
|
| 975 |
+
"clip_ratio/low_min": 0.0,
|
| 976 |
+
"clip_ratio/region_mean": 0.0,
|
| 977 |
+
"completions/clipped_ratio": 0.0001953125,
|
| 978 |
+
"completions/max_length": 699.4,
|
| 979 |
+
"completions/max_terminated_length": 456.6,
|
| 980 |
+
"completions/mean_length": 93.36513671875,
|
| 981 |
+
"completions/mean_terminated_length": 93.0830810546875,
|
| 982 |
+
"completions/min_length": 34.2,
|
| 983 |
+
"completions/min_terminated_length": 34.2,
|
| 984 |
+
"epoch": 0.544,
|
| 985 |
+
"grad_norm": 0.0017570438794791698,
|
| 986 |
+
"learning_rate": 1e-06,
|
| 987 |
+
"loss": 0.0018,
|
| 988 |
+
"num_tokens": 437343523.0,
|
| 989 |
+
"reward": 0.796533203125,
|
| 990 |
+
"reward_std": 0.07356481105089188,
|
| 991 |
+
"rewards/accuracy_reward": 0.593359375,
|
| 992 |
+
"rewards/brier_reward": 0.0,
|
| 993 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 994 |
+
"rewards/format_reward": 0.99970703125,
|
| 995 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 996 |
+
"step": 170
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"clip_ratio/high_max": 0.0,
|
| 1000 |
+
"clip_ratio/high_mean": 0.0,
|
| 1001 |
+
"clip_ratio/low_mean": 0.0,
|
| 1002 |
+
"clip_ratio/low_min": 0.0,
|
| 1003 |
+
"clip_ratio/region_mean": 0.0,
|
| 1004 |
+
"completions/clipped_ratio": 0.0,
|
| 1005 |
+
"completions/max_length": 444.8,
|
| 1006 |
+
"completions/max_terminated_length": 444.8,
|
| 1007 |
+
"completions/mean_length": 91.45390625,
|
| 1008 |
+
"completions/mean_terminated_length": 91.45390625,
|
| 1009 |
+
"completions/min_length": 41.8,
|
| 1010 |
+
"completions/min_terminated_length": 41.8,
|
| 1011 |
+
"epoch": 0.56,
|
| 1012 |
+
"grad_norm": 0.0014896654756739736,
|
| 1013 |
+
"learning_rate": 1e-06,
|
| 1014 |
+
"loss": 0.0009,
|
| 1015 |
+
"num_tokens": 449957739.0,
|
| 1016 |
+
"reward": 0.76611328125,
|
| 1017 |
+
"reward_std": 0.060523012280464174,
|
| 1018 |
+
"rewards/accuracy_reward": 0.53232421875,
|
| 1019 |
+
"rewards/brier_reward": 0.0,
|
| 1020 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1021 |
+
"rewards/format_reward": 0.99990234375,
|
| 1022 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1023 |
+
"step": 175
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"clip_ratio/high_max": 0.0,
|
| 1027 |
+
"clip_ratio/high_mean": 0.0,
|
| 1028 |
+
"clip_ratio/low_mean": 0.0,
|
| 1029 |
+
"clip_ratio/low_min": 0.0,
|
| 1030 |
+
"clip_ratio/region_mean": 0.0,
|
| 1031 |
+
"completions/clipped_ratio": 0.000390625,
|
| 1032 |
+
"completions/max_length": 1289.4,
|
| 1033 |
+
"completions/max_terminated_length": 382.2,
|
| 1034 |
+
"completions/mean_length": 90.7419921875,
|
| 1035 |
+
"completions/mean_terminated_length": 90.17736206054687,
|
| 1036 |
+
"completions/min_length": 43.0,
|
| 1037 |
+
"completions/min_terminated_length": 43.0,
|
| 1038 |
+
"epoch": 0.576,
|
| 1039 |
+
"grad_norm": 0.0016016842564567924,
|
| 1040 |
+
"learning_rate": 1e-06,
|
| 1041 |
+
"loss": 0.0008,
|
| 1042 |
+
"num_tokens": 462929881.0,
|
| 1043 |
+
"reward": 0.764111328125,
|
| 1044 |
+
"reward_std": 0.05608753189444542,
|
| 1045 |
+
"rewards/accuracy_reward": 0.52861328125,
|
| 1046 |
+
"rewards/brier_reward": 0.0,
|
| 1047 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1048 |
+
"rewards/format_reward": 0.999609375,
|
| 1049 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1050 |
+
"step": 180
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"clip_ratio/high_max": 0.0,
|
| 1054 |
+
"clip_ratio/high_mean": 0.0,
|
| 1055 |
+
"clip_ratio/low_mean": 0.0,
|
| 1056 |
+
"clip_ratio/low_min": 0.0,
|
| 1057 |
+
"clip_ratio/region_mean": 0.0,
|
| 1058 |
+
"completions/clipped_ratio": 9.765625e-05,
|
| 1059 |
+
"completions/max_length": 603.8,
|
| 1060 |
+
"completions/max_terminated_length": 356.0,
|
| 1061 |
+
"completions/mean_length": 91.03701171875,
|
| 1062 |
+
"completions/mean_terminated_length": 90.8958251953125,
|
| 1063 |
+
"completions/min_length": 42.6,
|
| 1064 |
+
"completions/min_terminated_length": 42.6,
|
| 1065 |
+
"epoch": 0.592,
|
| 1066 |
+
"grad_norm": 0.0013300231657922268,
|
| 1067 |
+
"learning_rate": 1e-06,
|
| 1068 |
+
"loss": 0.0014,
|
| 1069 |
+
"num_tokens": 475886132.0,
|
| 1070 |
+
"reward": 0.763671875,
|
| 1071 |
+
"reward_std": 0.06121245920658112,
|
| 1072 |
+
"rewards/accuracy_reward": 0.52744140625,
|
| 1073 |
+
"rewards/brier_reward": 0.0,
|
| 1074 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1075 |
+
"rewards/format_reward": 0.99990234375,
|
| 1076 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1077 |
+
"step": 185
|
| 1078 |
+
},
|
| 1079 |
+
{
|
| 1080 |
+
"clip_ratio/high_max": 0.0,
|
| 1081 |
+
"clip_ratio/high_mean": 0.0,
|
| 1082 |
+
"clip_ratio/low_mean": 0.0,
|
| 1083 |
+
"clip_ratio/low_min": 0.0,
|
| 1084 |
+
"clip_ratio/region_mean": 0.0,
|
| 1085 |
+
"completions/clipped_ratio": 0.00029296875,
|
| 1086 |
+
"completions/max_length": 831.0,
|
| 1087 |
+
"completions/max_terminated_length": 363.8,
|
| 1088 |
+
"completions/mean_length": 94.77607421875,
|
| 1089 |
+
"completions/mean_terminated_length": 94.35356140136719,
|
| 1090 |
+
"completions/min_length": 42.6,
|
| 1091 |
+
"completions/min_terminated_length": 42.6,
|
| 1092 |
+
"epoch": 0.608,
|
| 1093 |
+
"grad_norm": 0.001449022558517754,
|
| 1094 |
+
"learning_rate": 1e-06,
|
| 1095 |
+
"loss": 0.0015,
|
| 1096 |
+
"num_tokens": 488712447.0,
|
| 1097 |
+
"reward": 0.776220703125,
|
| 1098 |
+
"reward_std": 0.055175574868917464,
|
| 1099 |
+
"rewards/accuracy_reward": 0.55283203125,
|
| 1100 |
+
"rewards/brier_reward": 0.0,
|
| 1101 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1102 |
+
"rewards/format_reward": 0.999609375,
|
| 1103 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1104 |
+
"step": 190
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"clip_ratio/high_max": 0.0,
|
| 1108 |
+
"clip_ratio/high_mean": 0.0,
|
| 1109 |
+
"clip_ratio/low_mean": 0.0,
|
| 1110 |
+
"clip_ratio/low_min": 0.0,
|
| 1111 |
+
"clip_ratio/region_mean": 0.0,
|
| 1112 |
+
"completions/clipped_ratio": 9.765625e-05,
|
| 1113 |
+
"completions/max_length": 719.8,
|
| 1114 |
+
"completions/max_terminated_length": 511.4,
|
| 1115 |
+
"completions/mean_length": 95.49326171875,
|
| 1116 |
+
"completions/mean_terminated_length": 95.3530044555664,
|
| 1117 |
+
"completions/min_length": 42.2,
|
| 1118 |
+
"completions/min_terminated_length": 42.2,
|
| 1119 |
+
"epoch": 0.624,
|
| 1120 |
+
"grad_norm": 0.0016013348940759897,
|
| 1121 |
+
"learning_rate": 1e-06,
|
| 1122 |
+
"loss": 0.0005,
|
| 1123 |
+
"num_tokens": 501890522.0,
|
| 1124 |
+
"reward": 0.770703125,
|
| 1125 |
+
"reward_std": 0.06375713348388672,
|
| 1126 |
+
"rewards/accuracy_reward": 0.54150390625,
|
| 1127 |
+
"rewards/brier_reward": 0.0,
|
| 1128 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1129 |
+
"rewards/format_reward": 0.99990234375,
|
| 1130 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1131 |
+
"step": 195
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"clip_ratio/high_max": 0.0,
|
| 1135 |
+
"clip_ratio/high_mean": 0.0,
|
| 1136 |
+
"clip_ratio/low_mean": 0.0,
|
| 1137 |
+
"clip_ratio/low_min": 0.0,
|
| 1138 |
+
"clip_ratio/region_mean": 0.0,
|
| 1139 |
+
"completions/clipped_ratio": 0.001171875,
|
| 1140 |
+
"completions/max_length": 1310.4,
|
| 1141 |
+
"completions/max_terminated_length": 450.2,
|
| 1142 |
+
"completions/mean_length": 97.82939453125,
|
| 1143 |
+
"completions/mean_terminated_length": 96.14148406982422,
|
| 1144 |
+
"completions/min_length": 43.8,
|
| 1145 |
+
"completions/min_terminated_length": 43.8,
|
| 1146 |
+
"epoch": 0.64,
|
| 1147 |
+
"grad_norm": 0.00144854630343616,
|
| 1148 |
+
"learning_rate": 1e-06,
|
| 1149 |
+
"loss": 0.0031,
|
| 1150 |
+
"num_tokens": 515091303.0,
|
| 1151 |
+
"reward": 0.79462890625,
|
| 1152 |
+
"reward_std": 0.05500866025686264,
|
| 1153 |
+
"rewards/accuracy_reward": 0.5904296875,
|
| 1154 |
+
"rewards/brier_reward": 0.0,
|
| 1155 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1156 |
+
"rewards/format_reward": 0.998828125,
|
| 1157 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1158 |
+
"step": 200
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.64,
|
| 1162 |
+
"eval_completions/clipped_ratio": 0.0,
|
| 1163 |
+
"eval_completions/max_length": 226.5,
|
| 1164 |
+
"eval_completions/max_terminated_length": 226.5,
|
| 1165 |
+
"eval_completions/mean_length": 97.45433807373047,
|
| 1166 |
+
"eval_completions/mean_terminated_length": 97.45433807373047,
|
| 1167 |
+
"eval_completions/min_length": 48.5,
|
| 1168 |
+
"eval_completions/min_terminated_length": 48.5,
|
| 1169 |
+
"eval_loss": 0.0,
|
| 1170 |
+
"eval_num_tokens": 515091303.0,
|
| 1171 |
+
"eval_reward": 0.7216796875,
|
| 1172 |
+
"eval_reward_std": 0.24690637737512589,
|
| 1173 |
+
"eval_rewards/accuracy_reward": 0.443359375,
|
| 1174 |
+
"eval_rewards/brier_reward": 0.0,
|
| 1175 |
+
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 1176 |
+
"eval_rewards/format_reward": 1.0,
|
| 1177 |
+
"eval_rewards/mean_confidence_reward": 0.0,
|
| 1178 |
+
"eval_runtime": 14.5533,
|
| 1179 |
+
"eval_samples_per_second": 34.357,
|
| 1180 |
+
"eval_steps_per_second": 0.275,
|
| 1181 |
+
"step": 200
|
| 1182 |
+
},
|
| 1183 |
+
{
|
| 1184 |
+
"clip_ratio/high_max": 0.0,
|
| 1185 |
+
"clip_ratio/high_mean": 0.0,
|
| 1186 |
+
"clip_ratio/low_mean": 0.0,
|
| 1187 |
+
"clip_ratio/low_min": 0.0,
|
| 1188 |
+
"clip_ratio/region_mean": 0.0,
|
| 1189 |
+
"completions/clipped_ratio": 0.0001953125,
|
| 1190 |
+
"completions/max_length": 809.0,
|
| 1191 |
+
"completions/max_terminated_length": 348.2,
|
| 1192 |
+
"completions/mean_length": 95.0333984375,
|
| 1193 |
+
"completions/mean_terminated_length": 94.75228271484374,
|
| 1194 |
+
"completions/min_length": 42.4,
|
| 1195 |
+
"completions/min_terminated_length": 42.4,
|
| 1196 |
+
"epoch": 0.656,
|
| 1197 |
+
"grad_norm": 0.0017163316952064633,
|
| 1198 |
+
"learning_rate": 1e-06,
|
| 1199 |
+
"loss": 0.0013,
|
| 1200 |
+
"num_tokens": 527777309.0,
|
| 1201 |
+
"reward": 0.75673828125,
|
| 1202 |
+
"reward_std": 0.060856021195650103,
|
| 1203 |
+
"rewards/accuracy_reward": 0.513671875,
|
| 1204 |
+
"rewards/brier_reward": 0.0,
|
| 1205 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1206 |
+
"rewards/format_reward": 0.9998046875,
|
| 1207 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1208 |
+
"step": 205
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"clip_ratio/high_max": 0.0,
|
| 1212 |
+
"clip_ratio/high_mean": 0.0,
|
| 1213 |
+
"clip_ratio/low_mean": 0.0,
|
| 1214 |
+
"clip_ratio/low_min": 0.0,
|
| 1215 |
+
"clip_ratio/region_mean": 0.0,
|
| 1216 |
+
"completions/clipped_ratio": 0.000390625,
|
| 1217 |
+
"completions/max_length": 828.2,
|
| 1218 |
+
"completions/max_terminated_length": 388.2,
|
| 1219 |
+
"completions/mean_length": 95.4216796875,
|
| 1220 |
+
"completions/mean_terminated_length": 94.85912628173828,
|
| 1221 |
+
"completions/min_length": 41.4,
|
| 1222 |
+
"completions/min_terminated_length": 41.4,
|
| 1223 |
+
"epoch": 0.672,
|
| 1224 |
+
"grad_norm": 0.0013491360004991293,
|
| 1225 |
+
"learning_rate": 1e-06,
|
| 1226 |
+
"loss": 0.0013,
|
| 1227 |
+
"num_tokens": 540524187.0,
|
| 1228 |
+
"reward": 0.768115234375,
|
| 1229 |
+
"reward_std": 0.05722193792462349,
|
| 1230 |
+
"rewards/accuracy_reward": 0.53662109375,
|
| 1231 |
+
"rewards/brier_reward": 0.0,
|
| 1232 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1233 |
+
"rewards/format_reward": 0.999609375,
|
| 1234 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1235 |
+
"step": 210
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"clip_ratio/high_max": 0.0,
|
| 1239 |
+
"clip_ratio/high_mean": 0.0,
|
| 1240 |
+
"clip_ratio/low_mean": 0.0,
|
| 1241 |
+
"clip_ratio/low_min": 0.0,
|
| 1242 |
+
"clip_ratio/region_mean": 0.0,
|
| 1243 |
+
"completions/clipped_ratio": 0.000390625,
|
| 1244 |
+
"completions/max_length": 1050.6,
|
| 1245 |
+
"completions/max_terminated_length": 373.2,
|
| 1246 |
+
"completions/mean_length": 95.3826171875,
|
| 1247 |
+
"completions/mean_terminated_length": 94.82014465332031,
|
| 1248 |
+
"completions/min_length": 43.8,
|
| 1249 |
+
"completions/min_terminated_length": 43.8,
|
| 1250 |
+
"epoch": 0.688,
|
| 1251 |
+
"grad_norm": 0.0017077566590160131,
|
| 1252 |
+
"learning_rate": 1e-06,
|
| 1253 |
+
"loss": 0.0011,
|
| 1254 |
+
"num_tokens": 553311145.0,
|
| 1255 |
+
"reward": 0.779443359375,
|
| 1256 |
+
"reward_std": 0.06311368122696877,
|
| 1257 |
+
"rewards/accuracy_reward": 0.55927734375,
|
| 1258 |
+
"rewards/brier_reward": 0.0,
|
| 1259 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1260 |
+
"rewards/format_reward": 0.999609375,
|
| 1261 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1262 |
+
"step": 215
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"clip_ratio/high_max": 0.0,
|
| 1266 |
+
"clip_ratio/high_mean": 0.0,
|
| 1267 |
+
"clip_ratio/low_mean": 0.0,
|
| 1268 |
+
"clip_ratio/low_min": 0.0,
|
| 1269 |
+
"clip_ratio/region_mean": 0.0,
|
| 1270 |
+
"completions/clipped_ratio": 0.000390625,
|
| 1271 |
+
"completions/max_length": 810.0,
|
| 1272 |
+
"completions/max_terminated_length": 377.8,
|
| 1273 |
+
"completions/mean_length": 90.67568359375,
|
| 1274 |
+
"completions/mean_terminated_length": 90.11159210205078,
|
| 1275 |
+
"completions/min_length": 42.6,
|
| 1276 |
+
"completions/min_terminated_length": 42.6,
|
| 1277 |
+
"epoch": 0.704,
|
| 1278 |
+
"grad_norm": 0.0018953669350594282,
|
| 1279 |
+
"learning_rate": 1e-06,
|
| 1280 |
+
"loss": 0.001,
|
| 1281 |
+
"num_tokens": 565962128.0,
|
| 1282 |
+
"reward": 0.78388671875,
|
| 1283 |
+
"reward_std": 0.05257489308714867,
|
| 1284 |
+
"rewards/accuracy_reward": 0.5681640625,
|
| 1285 |
+
"rewards/brier_reward": 0.0,
|
| 1286 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1287 |
+
"rewards/format_reward": 0.999609375,
|
| 1288 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1289 |
+
"step": 220
|
| 1290 |
+
},
|
| 1291 |
+
{
|
| 1292 |
+
"clip_ratio/high_max": 0.0,
|
| 1293 |
+
"clip_ratio/high_mean": 0.0,
|
| 1294 |
+
"clip_ratio/low_mean": 0.0,
|
| 1295 |
+
"clip_ratio/low_min": 0.0,
|
| 1296 |
+
"clip_ratio/region_mean": 0.0,
|
| 1297 |
+
"completions/clipped_ratio": 0.0005859375,
|
| 1298 |
+
"completions/max_length": 1065.6,
|
| 1299 |
+
"completions/max_terminated_length": 403.6,
|
| 1300 |
+
"completions/mean_length": 91.39638671875,
|
| 1301 |
+
"completions/mean_terminated_length": 90.54814147949219,
|
| 1302 |
+
"completions/min_length": 43.6,
|
| 1303 |
+
"completions/min_terminated_length": 43.6,
|
| 1304 |
+
"epoch": 0.72,
|
| 1305 |
+
"grad_norm": 0.0019243984716013074,
|
| 1306 |
+
"learning_rate": 1e-06,
|
| 1307 |
+
"loss": 0.0025,
|
| 1308 |
+
"num_tokens": 578764203.0,
|
| 1309 |
+
"reward": 0.790576171875,
|
| 1310 |
+
"reward_std": 0.05948638021945953,
|
| 1311 |
+
"rewards/accuracy_reward": 0.58173828125,
|
| 1312 |
+
"rewards/brier_reward": 0.0,
|
| 1313 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1314 |
+
"rewards/format_reward": 0.9994140625,
|
| 1315 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1316 |
+
"step": 225
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"clip_ratio/high_max": 0.0,
|
| 1320 |
+
"clip_ratio/high_mean": 0.0,
|
| 1321 |
+
"clip_ratio/low_mean": 0.0,
|
| 1322 |
+
"clip_ratio/low_min": 0.0,
|
| 1323 |
+
"clip_ratio/region_mean": 0.0,
|
| 1324 |
+
"completions/clipped_ratio": 0.00078125,
|
| 1325 |
+
"completions/max_length": 1299.8,
|
| 1326 |
+
"completions/max_terminated_length": 342.0,
|
| 1327 |
+
"completions/mean_length": 91.9408203125,
|
| 1328 |
+
"completions/mean_terminated_length": 90.81210021972656,
|
| 1329 |
+
"completions/min_length": 45.0,
|
| 1330 |
+
"completions/min_terminated_length": 45.0,
|
| 1331 |
+
"epoch": 0.736,
|
| 1332 |
+
"grad_norm": 0.0013582052197307348,
|
| 1333 |
+
"learning_rate": 1e-06,
|
| 1334 |
+
"loss": 0.002,
|
| 1335 |
+
"num_tokens": 591501581.0,
|
| 1336 |
+
"reward": 0.79150390625,
|
| 1337 |
+
"reward_std": 0.05623424053192139,
|
| 1338 |
+
"rewards/accuracy_reward": 0.5837890625,
|
| 1339 |
+
"rewards/brier_reward": 0.0,
|
| 1340 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1341 |
+
"rewards/format_reward": 0.99921875,
|
| 1342 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1343 |
+
"step": 230
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"clip_ratio/high_max": 0.0,
|
| 1347 |
+
"clip_ratio/high_mean": 0.0,
|
| 1348 |
+
"clip_ratio/low_mean": 0.0,
|
| 1349 |
+
"clip_ratio/low_min": 0.0,
|
| 1350 |
+
"clip_ratio/region_mean": 0.0,
|
| 1351 |
+
"completions/clipped_ratio": 0.0001953125,
|
| 1352 |
+
"completions/max_length": 565.0,
|
| 1353 |
+
"completions/max_terminated_length": 327.2,
|
| 1354 |
+
"completions/mean_length": 91.51416015625,
|
| 1355 |
+
"completions/mean_terminated_length": 91.23197326660156,
|
| 1356 |
+
"completions/min_length": 43.8,
|
| 1357 |
+
"completions/min_terminated_length": 43.8,
|
| 1358 |
+
"epoch": 0.752,
|
| 1359 |
+
"grad_norm": 0.0015649450942873955,
|
| 1360 |
+
"learning_rate": 1e-06,
|
| 1361 |
+
"loss": 0.0001,
|
| 1362 |
+
"num_tokens": 604522206.0,
|
| 1363 |
+
"reward": 0.7857421875,
|
| 1364 |
+
"reward_std": 0.05413587838411331,
|
| 1365 |
+
"rewards/accuracy_reward": 0.5716796875,
|
| 1366 |
+
"rewards/brier_reward": 0.0,
|
| 1367 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1368 |
+
"rewards/format_reward": 0.9998046875,
|
| 1369 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1370 |
+
"step": 235
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"clip_ratio/high_max": 0.0,
|
| 1374 |
+
"clip_ratio/high_mean": 0.0,
|
| 1375 |
+
"clip_ratio/low_mean": 0.0,
|
| 1376 |
+
"clip_ratio/low_min": 0.0,
|
| 1377 |
+
"clip_ratio/region_mean": 0.0,
|
| 1378 |
+
"completions/clipped_ratio": 0.000390625,
|
| 1379 |
+
"completions/max_length": 646.2,
|
| 1380 |
+
"completions/max_terminated_length": 607.4,
|
| 1381 |
+
"completions/mean_length": 94.9529296875,
|
| 1382 |
+
"completions/mean_terminated_length": 94.39071350097656,
|
| 1383 |
+
"completions/min_length": 42.4,
|
| 1384 |
+
"completions/min_terminated_length": 42.4,
|
| 1385 |
+
"epoch": 0.768,
|
| 1386 |
+
"grad_norm": 0.0017648260109126568,
|
| 1387 |
+
"learning_rate": 1e-06,
|
| 1388 |
+
"loss": 0.0017,
|
| 1389 |
+
"num_tokens": 617283548.0,
|
| 1390 |
+
"reward": 0.761279296875,
|
| 1391 |
+
"reward_std": 0.057571640610694884,
|
| 1392 |
+
"rewards/accuracy_reward": 0.52294921875,
|
| 1393 |
+
"rewards/brier_reward": 0.0,
|
| 1394 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1395 |
+
"rewards/format_reward": 0.999609375,
|
| 1396 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1397 |
+
"step": 240
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"clip_ratio/high_max": 0.0,
|
| 1401 |
+
"clip_ratio/high_mean": 0.0,
|
| 1402 |
+
"clip_ratio/low_mean": 0.0,
|
| 1403 |
+
"clip_ratio/low_min": 0.0,
|
| 1404 |
+
"clip_ratio/region_mean": 0.0,
|
| 1405 |
+
"completions/clipped_ratio": 0.0,
|
| 1406 |
+
"completions/max_length": 413.6,
|
| 1407 |
+
"completions/max_terminated_length": 413.6,
|
| 1408 |
+
"completions/mean_length": 93.616015625,
|
| 1409 |
+
"completions/mean_terminated_length": 93.616015625,
|
| 1410 |
+
"completions/min_length": 43.8,
|
| 1411 |
+
"completions/min_terminated_length": 43.8,
|
| 1412 |
+
"epoch": 0.784,
|
| 1413 |
+
"grad_norm": 0.0011762650683522224,
|
| 1414 |
+
"learning_rate": 1e-06,
|
| 1415 |
+
"loss": 0.0006,
|
| 1416 |
+
"num_tokens": 630272864.0,
|
| 1417 |
+
"reward": 0.7892578125,
|
| 1418 |
+
"reward_std": 0.05626345500349998,
|
| 1419 |
+
"rewards/accuracy_reward": 0.578515625,
|
| 1420 |
+
"rewards/brier_reward": 0.0,
|
| 1421 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1422 |
+
"rewards/format_reward": 1.0,
|
| 1423 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1424 |
+
"step": 245
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"clip_ratio/high_max": 0.0,
|
| 1428 |
+
"clip_ratio/high_mean": 0.0,
|
| 1429 |
+
"clip_ratio/low_mean": 0.0,
|
| 1430 |
+
"clip_ratio/low_min": 0.0,
|
| 1431 |
+
"clip_ratio/region_mean": 0.0,
|
| 1432 |
+
"completions/clipped_ratio": 0.0,
|
| 1433 |
+
"completions/max_length": 326.8,
|
| 1434 |
+
"completions/max_terminated_length": 326.8,
|
| 1435 |
+
"completions/mean_length": 92.14990234375,
|
| 1436 |
+
"completions/mean_terminated_length": 92.14990234375,
|
| 1437 |
+
"completions/min_length": 44.6,
|
| 1438 |
+
"completions/min_terminated_length": 44.6,
|
| 1439 |
+
"epoch": 0.8,
|
| 1440 |
+
"grad_norm": 0.0013073732843622565,
|
| 1441 |
+
"learning_rate": 1e-06,
|
| 1442 |
+
"loss": 0.0002,
|
| 1443 |
+
"num_tokens": 643083359.0,
|
| 1444 |
+
"reward": 0.804052734375,
|
| 1445 |
+
"reward_std": 0.05071377567946911,
|
| 1446 |
+
"rewards/accuracy_reward": 0.60810546875,
|
| 1447 |
+
"rewards/brier_reward": 0.0,
|
| 1448 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1449 |
+
"rewards/format_reward": 1.0,
|
| 1450 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1451 |
+
"step": 250
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.8,
|
| 1455 |
+
"eval_completions/clipped_ratio": 0.0,
|
| 1456 |
+
"eval_completions/max_length": 236.75,
|
| 1457 |
+
"eval_completions/max_terminated_length": 236.75,
|
| 1458 |
+
"eval_completions/mean_length": 91.57341003417969,
|
| 1459 |
+
"eval_completions/mean_terminated_length": 91.57341003417969,
|
| 1460 |
+
"eval_completions/min_length": 49.5,
|
| 1461 |
+
"eval_completions/min_terminated_length": 49.5,
|
| 1462 |
+
"eval_loss": 0.0,
|
| 1463 |
+
"eval_num_tokens": 643083359.0,
|
| 1464 |
+
"eval_reward": 0.7265625,
|
| 1465 |
+
"eval_reward_std": 0.24742106348276138,
|
| 1466 |
+
"eval_rewards/accuracy_reward": 0.453125,
|
| 1467 |
+
"eval_rewards/brier_reward": 0.0,
|
| 1468 |
+
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 1469 |
+
"eval_rewards/format_reward": 1.0,
|
| 1470 |
+
"eval_rewards/mean_confidence_reward": 0.0,
|
| 1471 |
+
"eval_runtime": 14.2768,
|
| 1472 |
+
"eval_samples_per_second": 35.022,
|
| 1473 |
+
"eval_steps_per_second": 0.28,
|
| 1474 |
+
"step": 250
|
| 1475 |
+
},
|
| 1476 |
+
{
|
| 1477 |
+
"clip_ratio/high_max": 0.0,
|
| 1478 |
+
"clip_ratio/high_mean": 0.0,
|
| 1479 |
+
"clip_ratio/low_mean": 0.0,
|
| 1480 |
+
"clip_ratio/low_min": 0.0,
|
| 1481 |
+
"clip_ratio/region_mean": 0.0,
|
| 1482 |
+
"completions/clipped_ratio": 0.0001953125,
|
| 1483 |
+
"completions/max_length": 588.8,
|
| 1484 |
+
"completions/max_terminated_length": 456.2,
|
| 1485 |
+
"completions/mean_length": 89.20595703125,
|
| 1486 |
+
"completions/mean_terminated_length": 88.92289428710937,
|
| 1487 |
+
"completions/min_length": 43.2,
|
| 1488 |
+
"completions/min_terminated_length": 43.2,
|
| 1489 |
+
"epoch": 0.816,
|
| 1490 |
+
"grad_norm": 0.0019169868901371956,
|
| 1491 |
+
"learning_rate": 1e-06,
|
| 1492 |
+
"loss": 0.0008,
|
| 1493 |
+
"num_tokens": 655952316.0,
|
| 1494 |
+
"reward": 0.805029296875,
|
| 1495 |
+
"reward_std": 0.054716046899557114,
|
| 1496 |
+
"rewards/accuracy_reward": 0.61025390625,
|
| 1497 |
+
"rewards/brier_reward": 0.0,
|
| 1498 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1499 |
+
"rewards/format_reward": 0.9998046875,
|
| 1500 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1501 |
+
"step": 255
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"clip_ratio/high_max": 0.0,
|
| 1505 |
+
"clip_ratio/high_mean": 0.0,
|
| 1506 |
+
"clip_ratio/low_mean": 0.0,
|
| 1507 |
+
"clip_ratio/low_min": 0.0,
|
| 1508 |
+
"clip_ratio/region_mean": 0.0,
|
| 1509 |
+
"completions/clipped_ratio": 0.0,
|
| 1510 |
+
"completions/max_length": 462.6,
|
| 1511 |
+
"completions/max_terminated_length": 462.6,
|
| 1512 |
+
"completions/mean_length": 91.78896484375,
|
| 1513 |
+
"completions/mean_terminated_length": 91.78896484375,
|
| 1514 |
+
"completions/min_length": 42.0,
|
| 1515 |
+
"completions/min_terminated_length": 42.0,
|
| 1516 |
+
"epoch": 0.832,
|
| 1517 |
+
"grad_norm": 0.0014281836338341236,
|
| 1518 |
+
"learning_rate": 1e-06,
|
| 1519 |
+
"loss": 0.0002,
|
| 1520 |
+
"num_tokens": 668756907.0,
|
| 1521 |
+
"reward": 0.790087890625,
|
| 1522 |
+
"reward_std": 0.0539084292948246,
|
| 1523 |
+
"rewards/accuracy_reward": 0.58017578125,
|
| 1524 |
+
"rewards/brier_reward": 0.0,
|
| 1525 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1526 |
+
"rewards/format_reward": 1.0,
|
| 1527 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1528 |
+
"step": 260
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"clip_ratio/high_max": 0.0,
|
| 1532 |
+
"clip_ratio/high_mean": 0.0,
|
| 1533 |
+
"clip_ratio/low_mean": 0.0,
|
| 1534 |
+
"clip_ratio/low_min": 0.0,
|
| 1535 |
+
"clip_ratio/region_mean": 0.0,
|
| 1536 |
+
"completions/clipped_ratio": 9.765625e-05,
|
| 1537 |
+
"completions/max_length": 663.6,
|
| 1538 |
+
"completions/max_terminated_length": 417.8,
|
| 1539 |
+
"completions/mean_length": 91.91787109375,
|
| 1540 |
+
"completions/mean_terminated_length": 91.77665557861329,
|
| 1541 |
+
"completions/min_length": 45.4,
|
| 1542 |
+
"completions/min_terminated_length": 45.4,
|
| 1543 |
+
"epoch": 0.848,
|
| 1544 |
+
"grad_norm": 0.001417965511791408,
|
| 1545 |
+
"learning_rate": 1e-06,
|
| 1546 |
+
"loss": 0.0009,
|
| 1547 |
+
"num_tokens": 681568834.0,
|
| 1548 |
+
"reward": 0.77236328125,
|
| 1549 |
+
"reward_std": 0.0536438025534153,
|
| 1550 |
+
"rewards/accuracy_reward": 0.54482421875,
|
| 1551 |
+
"rewards/brier_reward": 0.0,
|
| 1552 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1553 |
+
"rewards/format_reward": 0.99990234375,
|
| 1554 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1555 |
+
"step": 265
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"clip_ratio/high_max": 0.0,
|
| 1559 |
+
"clip_ratio/high_mean": 0.0,
|
| 1560 |
+
"clip_ratio/low_mean": 0.0,
|
| 1561 |
+
"clip_ratio/low_min": 0.0,
|
| 1562 |
+
"clip_ratio/region_mean": 0.0,
|
| 1563 |
+
"completions/clipped_ratio": 0.000390625,
|
| 1564 |
+
"completions/max_length": 1059.4,
|
| 1565 |
+
"completions/max_terminated_length": 416.2,
|
| 1566 |
+
"completions/mean_length": 94.8748046875,
|
| 1567 |
+
"completions/mean_terminated_length": 94.31214294433593,
|
| 1568 |
+
"completions/min_length": 42.8,
|
| 1569 |
+
"completions/min_terminated_length": 42.8,
|
| 1570 |
+
"epoch": 0.864,
|
| 1571 |
+
"grad_norm": 0.0025267351884394884,
|
| 1572 |
+
"learning_rate": 1e-06,
|
| 1573 |
+
"loss": 0.0014,
|
| 1574 |
+
"num_tokens": 694383488.0,
|
| 1575 |
+
"reward": 0.809716796875,
|
| 1576 |
+
"reward_std": 0.05303701683878899,
|
| 1577 |
+
"rewards/accuracy_reward": 0.61982421875,
|
| 1578 |
+
"rewards/brier_reward": 0.0,
|
| 1579 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1580 |
+
"rewards/format_reward": 0.999609375,
|
| 1581 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1582 |
+
"step": 270
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"clip_ratio/high_max": 0.0,
|
| 1586 |
+
"clip_ratio/high_mean": 0.0,
|
| 1587 |
+
"clip_ratio/low_mean": 0.0,
|
| 1588 |
+
"clip_ratio/low_min": 0.0,
|
| 1589 |
+
"clip_ratio/region_mean": 0.0,
|
| 1590 |
+
"completions/clipped_ratio": 9.765625e-05,
|
| 1591 |
+
"completions/max_length": 592.0,
|
| 1592 |
+
"completions/max_terminated_length": 383.0,
|
| 1593 |
+
"completions/mean_length": 94.92939453125,
|
| 1594 |
+
"completions/mean_terminated_length": 94.78859100341796,
|
| 1595 |
+
"completions/min_length": 45.4,
|
| 1596 |
+
"completions/min_terminated_length": 45.4,
|
| 1597 |
+
"epoch": 0.88,
|
| 1598 |
+
"grad_norm": 0.001522132777608931,
|
| 1599 |
+
"learning_rate": 1e-06,
|
| 1600 |
+
"loss": 0.0011,
|
| 1601 |
+
"num_tokens": 707358957.0,
|
| 1602 |
+
"reward": 0.760546875,
|
| 1603 |
+
"reward_std": 0.055512601137161256,
|
| 1604 |
+
"rewards/accuracy_reward": 0.52119140625,
|
| 1605 |
+
"rewards/brier_reward": 0.0,
|
| 1606 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1607 |
+
"rewards/format_reward": 0.99990234375,
|
| 1608 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1609 |
+
"step": 275
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"clip_ratio/high_max": 0.0,
|
| 1613 |
+
"clip_ratio/high_mean": 0.0,
|
| 1614 |
+
"clip_ratio/low_mean": 0.0,
|
| 1615 |
+
"clip_ratio/low_min": 0.0,
|
| 1616 |
+
"clip_ratio/region_mean": 0.0,
|
| 1617 |
+
"completions/clipped_ratio": 9.765625e-05,
|
| 1618 |
+
"completions/max_length": 572.6,
|
| 1619 |
+
"completions/max_terminated_length": 337.0,
|
| 1620 |
+
"completions/mean_length": 97.50546875,
|
| 1621 |
+
"completions/mean_terminated_length": 97.36535034179687,
|
| 1622 |
+
"completions/min_length": 44.0,
|
| 1623 |
+
"completions/min_terminated_length": 44.0,
|
| 1624 |
+
"epoch": 0.896,
|
| 1625 |
+
"grad_norm": 0.0011945873266085982,
|
| 1626 |
+
"learning_rate": 1e-06,
|
| 1627 |
+
"loss": 0.001,
|
| 1628 |
+
"num_tokens": 720324581.0,
|
| 1629 |
+
"reward": 0.784912109375,
|
| 1630 |
+
"reward_std": 0.04334753602743149,
|
| 1631 |
+
"rewards/accuracy_reward": 0.569921875,
|
| 1632 |
+
"rewards/brier_reward": 0.0,
|
| 1633 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1634 |
+
"rewards/format_reward": 0.99990234375,
|
| 1635 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1636 |
+
"step": 280
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"clip_ratio/high_max": 0.0,
|
| 1640 |
+
"clip_ratio/high_mean": 0.0,
|
| 1641 |
+
"clip_ratio/low_mean": 0.0,
|
| 1642 |
+
"clip_ratio/low_min": 0.0,
|
| 1643 |
+
"clip_ratio/region_mean": 0.0,
|
| 1644 |
+
"completions/clipped_ratio": 0.0001953125,
|
| 1645 |
+
"completions/max_length": 960.6,
|
| 1646 |
+
"completions/max_terminated_length": 469.8,
|
| 1647 |
+
"completions/mean_length": 97.699609375,
|
| 1648 |
+
"completions/mean_terminated_length": 97.41859893798828,
|
| 1649 |
+
"completions/min_length": 42.0,
|
| 1650 |
+
"completions/min_terminated_length": 42.0,
|
| 1651 |
+
"epoch": 0.912,
|
| 1652 |
+
"grad_norm": 0.0012196388561278582,
|
| 1653 |
+
"learning_rate": 1e-06,
|
| 1654 |
+
"loss": 0.0008,
|
| 1655 |
+
"num_tokens": 733232641.0,
|
| 1656 |
+
"reward": 0.781201171875,
|
| 1657 |
+
"reward_std": 0.0503702849149704,
|
| 1658 |
+
"rewards/accuracy_reward": 0.56259765625,
|
| 1659 |
+
"rewards/brier_reward": 0.0,
|
| 1660 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1661 |
+
"rewards/format_reward": 0.9998046875,
|
| 1662 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1663 |
+
"step": 285
|
| 1664 |
+
},
|
| 1665 |
+
{
|
| 1666 |
+
"clip_ratio/high_max": 0.0,
|
| 1667 |
+
"clip_ratio/high_mean": 0.0,
|
| 1668 |
+
"clip_ratio/low_mean": 0.0,
|
| 1669 |
+
"clip_ratio/low_min": 0.0,
|
| 1670 |
+
"clip_ratio/region_mean": 0.0,
|
| 1671 |
+
"completions/clipped_ratio": 9.765625e-05,
|
| 1672 |
+
"completions/max_length": 527.2,
|
| 1673 |
+
"completions/max_terminated_length": 509.0,
|
| 1674 |
+
"completions/mean_length": 94.194921875,
|
| 1675 |
+
"completions/mean_terminated_length": 94.05436248779297,
|
| 1676 |
+
"completions/min_length": 39.6,
|
| 1677 |
+
"completions/min_terminated_length": 39.6,
|
| 1678 |
+
"epoch": 0.928,
|
| 1679 |
+
"grad_norm": 0.0010627944720909,
|
| 1680 |
+
"learning_rate": 1e-06,
|
| 1681 |
+
"loss": 0.0004,
|
| 1682 |
+
"num_tokens": 746080333.0,
|
| 1683 |
+
"reward": 0.77783203125,
|
| 1684 |
+
"reward_std": 0.0477489285171032,
|
| 1685 |
+
"rewards/accuracy_reward": 0.55576171875,
|
| 1686 |
+
"rewards/brier_reward": 0.0,
|
| 1687 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1688 |
+
"rewards/format_reward": 0.99990234375,
|
| 1689 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1690 |
+
"step": 290
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"clip_ratio/high_max": 0.0,
|
| 1694 |
+
"clip_ratio/high_mean": 0.0,
|
| 1695 |
+
"clip_ratio/low_mean": 0.0,
|
| 1696 |
+
"clip_ratio/low_min": 0.0,
|
| 1697 |
+
"clip_ratio/region_mean": 0.0,
|
| 1698 |
+
"completions/clipped_ratio": 0.0001953125,
|
| 1699 |
+
"completions/max_length": 830.8,
|
| 1700 |
+
"completions/max_terminated_length": 384.8,
|
| 1701 |
+
"completions/mean_length": 96.19130859375,
|
| 1702 |
+
"completions/mean_terminated_length": 95.91045227050782,
|
| 1703 |
+
"completions/min_length": 41.0,
|
| 1704 |
+
"completions/min_terminated_length": 41.0,
|
| 1705 |
+
"epoch": 0.944,
|
| 1706 |
+
"grad_norm": 0.0012808856554329395,
|
| 1707 |
+
"learning_rate": 1e-06,
|
| 1708 |
+
"loss": 0.0014,
|
| 1709 |
+
"num_tokens": 758897076.0,
|
| 1710 |
+
"reward": 0.774853515625,
|
| 1711 |
+
"reward_std": 0.06085398942232132,
|
| 1712 |
+
"rewards/accuracy_reward": 0.54990234375,
|
| 1713 |
+
"rewards/brier_reward": 0.0,
|
| 1714 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1715 |
+
"rewards/format_reward": 0.9998046875,
|
| 1716 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1717 |
+
"step": 295
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"clip_ratio/high_max": 0.0,
|
| 1721 |
+
"clip_ratio/high_mean": 0.0,
|
| 1722 |
+
"clip_ratio/low_mean": 0.0,
|
| 1723 |
+
"clip_ratio/low_min": 0.0,
|
| 1724 |
+
"clip_ratio/region_mean": 0.0,
|
| 1725 |
+
"completions/clipped_ratio": 9.765625e-05,
|
| 1726 |
+
"completions/max_length": 618.6,
|
| 1727 |
+
"completions/max_terminated_length": 385.6,
|
| 1728 |
+
"completions/mean_length": 95.019921875,
|
| 1729 |
+
"completions/mean_terminated_length": 94.87908020019532,
|
| 1730 |
+
"completions/min_length": 41.6,
|
| 1731 |
+
"completions/min_terminated_length": 41.6,
|
| 1732 |
+
"epoch": 0.96,
|
| 1733 |
+
"grad_norm": 0.001602579141035676,
|
| 1734 |
+
"learning_rate": 1e-06,
|
| 1735 |
+
"loss": 0.0006,
|
| 1736 |
+
"num_tokens": 771666720.0,
|
| 1737 |
+
"reward": 0.77060546875,
|
| 1738 |
+
"reward_std": 0.047741709649562834,
|
| 1739 |
+
"rewards/accuracy_reward": 0.54130859375,
|
| 1740 |
+
"rewards/brier_reward": 0.0,
|
| 1741 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1742 |
+
"rewards/format_reward": 0.99990234375,
|
| 1743 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1744 |
+
"step": 300
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 0.96,
|
| 1748 |
+
"eval_completions/clipped_ratio": 0.0,
|
| 1749 |
+
"eval_completions/max_length": 212.5,
|
| 1750 |
+
"eval_completions/max_terminated_length": 212.5,
|
| 1751 |
+
"eval_completions/mean_length": 94.41190719604492,
|
| 1752 |
+
"eval_completions/mean_terminated_length": 94.41190719604492,
|
| 1753 |
+
"eval_completions/min_length": 51.0,
|
| 1754 |
+
"eval_completions/min_terminated_length": 51.0,
|
| 1755 |
+
"eval_loss": 0.0,
|
| 1756 |
+
"eval_num_tokens": 771666720.0,
|
| 1757 |
+
"eval_reward": 0.7158203125,
|
| 1758 |
+
"eval_reward_std": 0.24653732031583786,
|
| 1759 |
+
"eval_rewards/accuracy_reward": 0.431640625,
|
| 1760 |
+
"eval_rewards/brier_reward": 0.0,
|
| 1761 |
+
"eval_rewards/confidence_one_or_zero": 0.0,
|
| 1762 |
+
"eval_rewards/format_reward": 1.0,
|
| 1763 |
+
"eval_rewards/mean_confidence_reward": 0.0,
|
| 1764 |
+
"eval_runtime": 13.6738,
|
| 1765 |
+
"eval_samples_per_second": 36.566,
|
| 1766 |
+
"eval_steps_per_second": 0.293,
|
| 1767 |
+
"step": 300
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"clip_ratio/high_max": 0.0,
|
| 1771 |
+
"clip_ratio/high_mean": 0.0,
|
| 1772 |
+
"clip_ratio/low_mean": 0.0,
|
| 1773 |
+
"clip_ratio/low_min": 0.0,
|
| 1774 |
+
"clip_ratio/region_mean": 0.0,
|
| 1775 |
+
"completions/clipped_ratio": 0.0005859375,
|
| 1776 |
+
"completions/max_length": 1112.6,
|
| 1777 |
+
"completions/max_terminated_length": 416.8,
|
| 1778 |
+
"completions/mean_length": 95.6703125,
|
| 1779 |
+
"completions/mean_terminated_length": 94.82695617675782,
|
| 1780 |
+
"completions/min_length": 39.8,
|
| 1781 |
+
"completions/min_terminated_length": 39.8,
|
| 1782 |
+
"epoch": 0.976,
|
| 1783 |
+
"grad_norm": 0.0012756388168781996,
|
| 1784 |
+
"learning_rate": 1e-06,
|
| 1785 |
+
"loss": 0.0017,
|
| 1786 |
+
"num_tokens": 784363824.0,
|
| 1787 |
+
"reward": 0.789599609375,
|
| 1788 |
+
"reward_std": 0.05751314386725426,
|
| 1789 |
+
"rewards/accuracy_reward": 0.57978515625,
|
| 1790 |
+
"rewards/brier_reward": 0.0,
|
| 1791 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1792 |
+
"rewards/format_reward": 0.9994140625,
|
| 1793 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1794 |
+
"step": 305
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"clip_ratio/high_max": 0.0,
|
| 1798 |
+
"clip_ratio/high_mean": 0.0,
|
| 1799 |
+
"clip_ratio/low_mean": 0.0,
|
| 1800 |
+
"clip_ratio/low_min": 0.0,
|
| 1801 |
+
"clip_ratio/region_mean": 0.0,
|
| 1802 |
+
"completions/clipped_ratio": 0.00029296875,
|
| 1803 |
+
"completions/max_length": 813.6,
|
| 1804 |
+
"completions/max_terminated_length": 335.2,
|
| 1805 |
+
"completions/mean_length": 93.523046875,
|
| 1806 |
+
"completions/mean_terminated_length": 93.10098266601562,
|
| 1807 |
+
"completions/min_length": 41.8,
|
| 1808 |
+
"completions/min_terminated_length": 41.8,
|
| 1809 |
+
"epoch": 0.992,
|
| 1810 |
+
"grad_norm": 0.0012513543479144573,
|
| 1811 |
+
"learning_rate": 1e-06,
|
| 1812 |
+
"loss": 0.001,
|
| 1813 |
+
"num_tokens": 797306300.0,
|
| 1814 |
+
"reward": 0.778857421875,
|
| 1815 |
+
"reward_std": 0.04584160037338734,
|
| 1816 |
+
"rewards/accuracy_reward": 0.5580078125,
|
| 1817 |
+
"rewards/brier_reward": 0.0,
|
| 1818 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1819 |
+
"rewards/format_reward": 0.99970703125,
|
| 1820 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1821 |
+
"step": 310
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"clip_ratio/high_max": 0.0,
|
| 1825 |
+
"clip_ratio/high_mean": 0.0,
|
| 1826 |
+
"clip_ratio/low_mean": 0.0,
|
| 1827 |
+
"clip_ratio/low_min": 0.0,
|
| 1828 |
+
"clip_ratio/region_mean": 0.0,
|
| 1829 |
+
"completions/clipped_ratio": 0.0,
|
| 1830 |
+
"completions/max_length": 341.0,
|
| 1831 |
+
"completions/max_terminated_length": 341.0,
|
| 1832 |
+
"completions/mean_length": 92.21929550170898,
|
| 1833 |
+
"completions/mean_terminated_length": 92.21929550170898,
|
| 1834 |
+
"completions/min_length": 40.5,
|
| 1835 |
+
"completions/min_terminated_length": 40.5,
|
| 1836 |
+
"epoch": 0.9984,
|
| 1837 |
+
"num_tokens": 802441496.0,
|
| 1838 |
+
"reward": 0.784912109375,
|
| 1839 |
+
"reward_std": 0.055518221110105515,
|
| 1840 |
+
"rewards/accuracy_reward": 0.570556640625,
|
| 1841 |
+
"rewards/brier_reward": 0.0,
|
| 1842 |
+
"rewards/confidence_one_or_zero": 0.0,
|
| 1843 |
+
"rewards/format_reward": 0.999267578125,
|
| 1844 |
+
"rewards/mean_confidence_reward": 0.0,
|
| 1845 |
+
"step": 312,
|
| 1846 |
+
"total_flos": 0.0,
|
| 1847 |
+
"train_loss": 0.0036987085283889873,
|
| 1848 |
+
"train_runtime": 71191.4821,
|
| 1849 |
+
"train_samples_per_second": 0.281,
|
| 1850 |
+
"train_steps_per_second": 0.004
|
| 1851 |
+
}
|
| 1852 |
+
],
|
| 1853 |
+
"logging_steps": 5,
|
| 1854 |
+
"max_steps": 312,
|
| 1855 |
+
"num_input_tokens_seen": 802441496,
|
| 1856 |
+
"num_train_epochs": 1,
|
| 1857 |
+
"save_steps": 60,
|
| 1858 |
+
"stateful_callbacks": {
|
| 1859 |
+
"TrainerControl": {
|
| 1860 |
+
"args": {
|
| 1861 |
+
"should_epoch_stop": false,
|
| 1862 |
+
"should_evaluate": false,
|
| 1863 |
+
"should_log": false,
|
| 1864 |
+
"should_save": true,
|
| 1865 |
+
"should_training_stop": true
|
| 1866 |
+
},
|
| 1867 |
+
"attributes": {}
|
| 1868 |
+
}
|
| 1869 |
+
},
|
| 1870 |
+
"total_flos": 0.0,
|
| 1871 |
+
"train_batch_size": 8,
|
| 1872 |
+
"trial_name": null,
|
| 1873 |
+
"trial_params": null
|
| 1874 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:68c7e33bc4f64e22fcd26e4e03a26f945b707a599756db6e343c305abbde9e81
|
| 3 |
+
size 7992
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|