initial upload of 8b model checkpoint
Browse files- .gitattributes +1 -0
- README.md +66 -0
- added_tokens.json +28 -0
- all_results.json +8 -0
- config.json +30 -0
- generation_config.json +13 -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 +406 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
- train_results.json +8 -0
- trainer_state.json +641 -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 +1,66 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
datasets: TheFinAI/Fino1_RL_grpo_1525
|
3 |
+
library_name: transformers
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
- open-r1
|
7 |
+
licence: license
|
8 |
+
---
|
9 |
+
|
10 |
+
# Model Card for None
|
11 |
+
|
12 |
+
This model is a fine-tuned version of [None](https://huggingface.co/None) on the [TheFinAI/Fino1_RL_grpo_1525](https://huggingface.co/datasets/TheFinAI/Fino1_RL_grpo_1525) dataset.
|
13 |
+
It has been trained using [TRL](https://github.com/huggingface/trl).
|
14 |
+
|
15 |
+
## Quick start
|
16 |
+
|
17 |
+
```python
|
18 |
+
from transformers import pipeline
|
19 |
+
|
20 |
+
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?"
|
21 |
+
generator = pipeline("text-generation", model="None", device="cuda")
|
22 |
+
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
|
23 |
+
print(output["generated_text"])
|
24 |
+
```
|
25 |
+
|
26 |
+
## Training procedure
|
27 |
+
|
28 |
+
[<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/wy2266336-yale-university/huggingface/runs/u00amzr7)
|
29 |
+
|
30 |
+
|
31 |
+
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).
|
32 |
+
|
33 |
+
### Framework versions
|
34 |
+
|
35 |
+
- TRL: 0.17.0.dev0
|
36 |
+
- Transformers: 4.51.2
|
37 |
+
- Pytorch: 2.6.0
|
38 |
+
- Datasets: 3.5.0
|
39 |
+
- Tokenizers: 0.21.1
|
40 |
+
|
41 |
+
## Citations
|
42 |
+
|
43 |
+
Cite GRPO as:
|
44 |
+
|
45 |
+
```bibtex
|
46 |
+
@article{zhihong2024deepseekmath,
|
47 |
+
title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
|
48 |
+
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},
|
49 |
+
year = 2024,
|
50 |
+
eprint = {arXiv:2402.03300},
|
51 |
+
}
|
52 |
+
|
53 |
+
```
|
54 |
+
|
55 |
+
Cite TRL as:
|
56 |
+
|
57 |
+
```bibtex
|
58 |
+
@misc{vonwerra2022trl,
|
59 |
+
title = {{TRL: Transformer Reinforcement Learning}},
|
60 |
+
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 Gallou{\'e}dec},
|
61 |
+
year = 2020,
|
62 |
+
journal = {GitHub repository},
|
63 |
+
publisher = {GitHub},
|
64 |
+
howpublished = {\url{https://github.com/huggingface/trl}}
|
65 |
+
}
|
66 |
+
```
|
added_tokens.json
ADDED
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"</think>": 151668,
|
3 |
+
"</tool_call>": 151658,
|
4 |
+
"</tool_response>": 151666,
|
5 |
+
"<think>": 151667,
|
6 |
+
"<tool_call>": 151657,
|
7 |
+
"<tool_response>": 151665,
|
8 |
+
"<|box_end|>": 151649,
|
9 |
+
"<|box_start|>": 151648,
|
10 |
+
"<|endoftext|>": 151643,
|
11 |
+
"<|file_sep|>": 151664,
|
12 |
+
"<|fim_middle|>": 151660,
|
13 |
+
"<|fim_pad|>": 151662,
|
14 |
+
"<|fim_prefix|>": 151659,
|
15 |
+
"<|fim_suffix|>": 151661,
|
16 |
+
"<|im_end|>": 151645,
|
17 |
+
"<|im_start|>": 151644,
|
18 |
+
"<|image_pad|>": 151655,
|
19 |
+
"<|object_ref_end|>": 151647,
|
20 |
+
"<|object_ref_start|>": 151646,
|
21 |
+
"<|quad_end|>": 151651,
|
22 |
+
"<|quad_start|>": 151650,
|
23 |
+
"<|repo_name|>": 151663,
|
24 |
+
"<|video_pad|>": 151656,
|
25 |
+
"<|vision_end|>": 151653,
|
26 |
+
"<|vision_pad|>": 151654,
|
27 |
+
"<|vision_start|>": 151652
|
28 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.0013743292051367462,
|
4 |
+
"train_runtime": 7960.7406,
|
5 |
+
"train_samples": 1525,
|
6 |
+
"train_samples_per_second": 0.754,
|
7 |
+
"train_steps_per_second": 0.063
|
8 |
+
}
|
config.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"Qwen3ForCausalLM"
|
4 |
+
],
|
5 |
+
"attention_bias": false,
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"head_dim": 128,
|
10 |
+
"hidden_act": "silu",
|
11 |
+
"hidden_size": 4096,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 12288,
|
14 |
+
"max_position_embeddings": 40960,
|
15 |
+
"max_window_layers": 36,
|
16 |
+
"model_type": "qwen3",
|
17 |
+
"num_attention_heads": 32,
|
18 |
+
"num_hidden_layers": 36,
|
19 |
+
"num_key_value_heads": 8,
|
20 |
+
"rms_norm_eps": 1e-06,
|
21 |
+
"rope_scaling": null,
|
22 |
+
"rope_theta": 1000000,
|
23 |
+
"sliding_window": null,
|
24 |
+
"tie_word_embeddings": false,
|
25 |
+
"torch_dtype": "bfloat16",
|
26 |
+
"transformers_version": "4.51.2",
|
27 |
+
"use_cache": true,
|
28 |
+
"use_sliding_window": false,
|
29 |
+
"vocab_size": 151936
|
30 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151643,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": [
|
5 |
+
151645,
|
6 |
+
151643
|
7 |
+
],
|
8 |
+
"pad_token_id": 151643,
|
9 |
+
"temperature": 0.6,
|
10 |
+
"top_k": 20,
|
11 |
+
"top_p": 0.95,
|
12 |
+
"transformers_version": "4.51.2"
|
13 |
+
}
|
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:c4c3eaf4e935e1526cd49cd3bc3219d783ec8e29581fe4296a7e2670ab72a7ab
|
3 |
+
size 4902257696
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:330839f22c0cf6d5b537ed2afce9f71ca5486b2b776a22b3d23094070db7bd1d
|
3 |
+
size 4915960368
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad531484162a71e791f17b5203e731586dad43571dd6fc59559debe0d1861f8e
|
3 |
+
size 4983068496
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fab31c76825dbb628e1596e58c6412987dd7d818cefd0d8d37eafe4c5cb93c15
|
3 |
+
size 1580230264
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,406 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 16381470720
|
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_norm.weight": "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_norm.weight": "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.weight": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
27 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
29 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
30 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
31 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
32 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
117 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
118 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
119 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
120 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
121 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
122 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
123 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
124 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
125 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
126 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
127 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
129 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
130 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
133 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
135 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
136 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
137 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
138 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
139 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
140 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
141 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
142 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
143 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
144 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
145 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
146 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
147 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
148 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
149 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
150 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
151 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
152 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
153 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
154 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
155 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
156 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
157 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
158 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
159 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
160 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
161 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
162 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
163 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
164 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
165 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
166 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
167 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
168 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
169 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
170 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
171 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
172 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
173 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
174 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
175 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
176 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00002-of-00004.safetensors",
|
179 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
180 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
181 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00002-of-00004.safetensors",
|
182 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
183 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
184 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
185 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
186 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
187 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
188 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
216 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
217 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
218 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
219 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
220 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
221 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
222 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
223 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
224 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
234 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
235 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
238 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
243 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
244 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
245 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
246 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
247 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
248 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
249 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
250 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
251 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
252 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
253 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
254 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
255 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
256 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
257 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
258 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
259 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
260 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
261 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
262 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
263 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
264 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
265 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
266 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
267 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
268 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
269 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
270 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
272 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
273 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
274 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
275 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
276 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
277 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
278 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
279 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
280 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
281 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
282 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
283 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
284 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
285 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
286 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
287 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
288 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
289 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
290 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
291 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
292 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
293 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
294 |
+
"model.layers.32.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
295 |
+
"model.layers.32.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
296 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
297 |
+
"model.layers.32.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
298 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
299 |
+
"model.layers.32.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
300 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
301 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
302 |
+
"model.layers.32.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
303 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
304 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
305 |
+
"model.layers.33.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
306 |
+
"model.layers.33.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
307 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
308 |
+
"model.layers.33.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
309 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
310 |
+
"model.layers.33.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
311 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
312 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
313 |
+
"model.layers.33.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
314 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
315 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
316 |
+
"model.layers.34.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
317 |
+
"model.layers.34.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
318 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
319 |
+
"model.layers.34.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
320 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
321 |
+
"model.layers.34.self_attn.k_norm.weight": "model-00003-of-00004.safetensors",
|
322 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
323 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
324 |
+
"model.layers.34.self_attn.q_norm.weight": "model-00003-of-00004.safetensors",
|
325 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
326 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
327 |
+
"model.layers.35.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
328 |
+
"model.layers.35.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
329 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
|
330 |
+
"model.layers.35.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
|
331 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
332 |
+
"model.layers.35.self_attn.k_norm.weight": "model-00004-of-00004.safetensors",
|
333 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
334 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
|
335 |
+
"model.layers.35.self_attn.q_norm.weight": "model-00004-of-00004.safetensors",
|
336 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
337 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
338 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
339 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
340 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
341 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
342 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
343 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
344 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
345 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
346 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
347 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
348 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
349 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
350 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
351 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
352 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
353 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
354 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
355 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
356 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
357 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
358 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
359 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
360 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
361 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
362 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
363 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
364 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
365 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
366 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
367 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
368 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
369 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
370 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
371 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
372 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
373 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
374 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
375 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
376 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
377 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
378 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
379 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
380 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
381 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
382 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
383 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
384 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
385 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
386 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
387 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
388 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
389 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
390 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
391 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
392 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
393 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
394 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
395 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
396 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
397 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
398 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00001-of-00004.safetensors",
|
399 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
400 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
401 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00001-of-00004.safetensors",
|
402 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
403 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
404 |
+
"model.norm.weight": "model-00004-of-00004.safetensors"
|
405 |
+
}
|
406 |
+
}
|
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": "<|im_end|>",
|
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 sha256:67cc0080ffd7555f723f423c27cfef314e1ad9d335c8b79f465c5faba1ed478b
|
3 |
+
size 11422821
|
tokenizer_config.json
ADDED
@@ -0,0 +1,240 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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 |
+
"151665": {
|
182 |
+
"content": "<tool_response>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": false
|
188 |
+
},
|
189 |
+
"151666": {
|
190 |
+
"content": "</tool_response>",
|
191 |
+
"lstrip": false,
|
192 |
+
"normalized": false,
|
193 |
+
"rstrip": false,
|
194 |
+
"single_word": false,
|
195 |
+
"special": false
|
196 |
+
},
|
197 |
+
"151667": {
|
198 |
+
"content": "<think>",
|
199 |
+
"lstrip": false,
|
200 |
+
"normalized": false,
|
201 |
+
"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": false
|
204 |
+
},
|
205 |
+
"151668": {
|
206 |
+
"content": "</think>",
|
207 |
+
"lstrip": false,
|
208 |
+
"normalized": false,
|
209 |
+
"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": false
|
212 |
+
}
|
213 |
+
},
|
214 |
+
"additional_special_tokens": [
|
215 |
+
"<|im_start|>",
|
216 |
+
"<|im_end|>",
|
217 |
+
"<|object_ref_start|>",
|
218 |
+
"<|object_ref_end|>",
|
219 |
+
"<|box_start|>",
|
220 |
+
"<|box_end|>",
|
221 |
+
"<|quad_start|>",
|
222 |
+
"<|quad_end|>",
|
223 |
+
"<|vision_start|>",
|
224 |
+
"<|vision_end|>",
|
225 |
+
"<|vision_pad|>",
|
226 |
+
"<|image_pad|>",
|
227 |
+
"<|video_pad|>"
|
228 |
+
],
|
229 |
+
"bos_token": null,
|
230 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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 {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set content = message.content %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is defined and message.reasoning_content is not none %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in message.content %}\n {%- set content = message.content.split('</think>')[-1].lstrip('\\n') %}\n {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first 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 {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
231 |
+
"clean_up_tokenization_spaces": false,
|
232 |
+
"eos_token": "<|im_end|>",
|
233 |
+
"errors": "replace",
|
234 |
+
"extra_special_tokens": {},
|
235 |
+
"model_max_length": 131072,
|
236 |
+
"pad_token": "<|endoftext|>",
|
237 |
+
"split_special_tokens": false,
|
238 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
239 |
+
"unk_token": null
|
240 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.0013743292051367462,
|
4 |
+
"train_runtime": 7960.7406,
|
5 |
+
"train_samples": 1525,
|
6 |
+
"train_samples_per_second": 0.754,
|
7 |
+
"train_steps_per_second": 0.063
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,641 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": null,
|
3 |
+
"best_metric": null,
|
4 |
+
"best_model_checkpoint": null,
|
5 |
+
"epoch": 1.9666011787819253,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 500,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"clip_ratio": 0.0,
|
14 |
+
"completions/clipped_ratio": 0.0,
|
15 |
+
"completions/max_length": 579.5,
|
16 |
+
"completions/max_terminated_length": 579.5,
|
17 |
+
"completions/mean_length": 445.5,
|
18 |
+
"completions/mean_terminated_length": 445.5,
|
19 |
+
"completions/min_length": 358.5,
|
20 |
+
"completions/min_terminated_length": 358.5,
|
21 |
+
"epoch": 0.003929273084479371,
|
22 |
+
"grad_norm": 0.46015690099076406,
|
23 |
+
"kl": 0.0,
|
24 |
+
"learning_rate": 0.0,
|
25 |
+
"loss": -0.0157,
|
26 |
+
"num_tokens": 18992.0,
|
27 |
+
"reward": 9.166666984558105,
|
28 |
+
"reward_std": 1.178511381149292,
|
29 |
+
"rewards/accuracy_reward/mean": 1.8333333134651184,
|
30 |
+
"rewards/accuracy_reward/std": 0.40824830532073975,
|
31 |
+
"rewards/format_reward/mean": 0.0,
|
32 |
+
"rewards/format_reward/std": 0.0,
|
33 |
+
"step": 1
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"clip_ratio": 0.0,
|
37 |
+
"completions/clipped_ratio": 0.0,
|
38 |
+
"completions/max_length": 554.4736842105264,
|
39 |
+
"completions/max_terminated_length": 554.4736842105264,
|
40 |
+
"completions/mean_length": 427.37282040244656,
|
41 |
+
"completions/mean_terminated_length": 427.37282040244656,
|
42 |
+
"completions/min_length": 322.5,
|
43 |
+
"completions/min_terminated_length": 322.5,
|
44 |
+
"epoch": 0.07858546168958742,
|
45 |
+
"grad_norm": 0.37367734361954813,
|
46 |
+
"kl": 0.0002414552788985403,
|
47 |
+
"learning_rate": 1.14e-06,
|
48 |
+
"loss": 0.0021,
|
49 |
+
"num_tokens": 366755.0,
|
50 |
+
"reward": 9.62719312467073,
|
51 |
+
"reward_std": 0.5272287757773149,
|
52 |
+
"rewards/accuracy_reward/mean": 1.9254385891713595,
|
53 |
+
"rewards/accuracy_reward/std": 0.18263739974875198,
|
54 |
+
"rewards/format_reward/mean": 0.0,
|
55 |
+
"rewards/format_reward/std": 0.0,
|
56 |
+
"step": 20
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"clip_ratio": 0.0,
|
60 |
+
"completions/clipped_ratio": 0.0,
|
61 |
+
"completions/max_length": 543.875,
|
62 |
+
"completions/max_terminated_length": 543.875,
|
63 |
+
"completions/mean_length": 423.0708427429199,
|
64 |
+
"completions/mean_terminated_length": 423.0708427429199,
|
65 |
+
"completions/min_length": 319.9,
|
66 |
+
"completions/min_terminated_length": 319.9,
|
67 |
+
"epoch": 0.15717092337917485,
|
68 |
+
"grad_norm": 0.5322056075322863,
|
69 |
+
"kl": 0.0003676414489746094,
|
70 |
+
"learning_rate": 2.34e-06,
|
71 |
+
"loss": 0.0042,
|
72 |
+
"num_tokens": 745300.0,
|
73 |
+
"reward": 9.479166793823243,
|
74 |
+
"reward_std": 0.5008673369884491,
|
75 |
+
"rewards/accuracy_reward/mean": 1.8958333283662796,
|
76 |
+
"rewards/accuracy_reward/std": 0.20629913210868836,
|
77 |
+
"rewards/format_reward/mean": 0.0,
|
78 |
+
"rewards/format_reward/std": 0.0,
|
79 |
+
"step": 40
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"clip_ratio": 0.0,
|
83 |
+
"completions/clipped_ratio": 0.0,
|
84 |
+
"completions/max_length": 571.275,
|
85 |
+
"completions/max_terminated_length": 571.275,
|
86 |
+
"completions/mean_length": 416.7875122070312,
|
87 |
+
"completions/mean_terminated_length": 416.7875122070312,
|
88 |
+
"completions/min_length": 318.6,
|
89 |
+
"completions/min_terminated_length": 318.6,
|
90 |
+
"epoch": 0.2357563850687623,
|
91 |
+
"grad_norm": 0.46502934681984226,
|
92 |
+
"kl": 0.0017244338989257813,
|
93 |
+
"learning_rate": 2.9970400926424076e-06,
|
94 |
+
"loss": 0.0059,
|
95 |
+
"num_tokens": 1102433.0,
|
96 |
+
"reward": 9.479166793823243,
|
97 |
+
"reward_std": 0.5597929060459137,
|
98 |
+
"rewards/accuracy_reward/mean": 1.8958333283662796,
|
99 |
+
"rewards/accuracy_reward/std": 0.2154431849718094,
|
100 |
+
"rewards/format_reward/mean": 0.0,
|
101 |
+
"rewards/format_reward/std": 0.0,
|
102 |
+
"step": 60
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"clip_ratio": 0.0,
|
106 |
+
"completions/clipped_ratio": 0.0,
|
107 |
+
"completions/max_length": 529.75,
|
108 |
+
"completions/max_terminated_length": 529.75,
|
109 |
+
"completions/mean_length": 416.1666778564453,
|
110 |
+
"completions/mean_terminated_length": 416.1666778564453,
|
111 |
+
"completions/min_length": 324.725,
|
112 |
+
"completions/min_terminated_length": 324.725,
|
113 |
+
"epoch": 0.3143418467583497,
|
114 |
+
"grad_norm": 0.03393033103037874,
|
115 |
+
"kl": 0.005292510986328125,
|
116 |
+
"learning_rate": 2.969362874399016e-06,
|
117 |
+
"loss": -0.0009,
|
118 |
+
"num_tokens": 1476975.0,
|
119 |
+
"reward": 9.583333444595336,
|
120 |
+
"reward_std": 0.3535534143447876,
|
121 |
+
"rewards/accuracy_reward/mean": 1.9166666626930238,
|
122 |
+
"rewards/accuracy_reward/std": 0.17411426901817323,
|
123 |
+
"rewards/format_reward/mean": 0.0,
|
124 |
+
"rewards/format_reward/std": 0.0,
|
125 |
+
"step": 80
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"clip_ratio": 0.0,
|
129 |
+
"completions/clipped_ratio": 0.0,
|
130 |
+
"completions/max_length": 527.25,
|
131 |
+
"completions/max_terminated_length": 527.25,
|
132 |
+
"completions/mean_length": 416.6166793823242,
|
133 |
+
"completions/mean_terminated_length": 416.6166793823242,
|
134 |
+
"completions/min_length": 323.575,
|
135 |
+
"completions/min_terminated_length": 323.575,
|
136 |
+
"epoch": 0.3929273084479371,
|
137 |
+
"grad_norm": 0.030903746658924047,
|
138 |
+
"kl": 0.008585357666015625,
|
139 |
+
"learning_rate": 2.913086179180945e-06,
|
140 |
+
"loss": 0.0066,
|
141 |
+
"num_tokens": 1840061.0,
|
142 |
+
"reward": 9.604166769981385,
|
143 |
+
"reward_std": 0.5597929060459137,
|
144 |
+
"rewards/accuracy_reward/mean": 1.920833334326744,
|
145 |
+
"rewards/accuracy_reward/std": 0.16390806138515474,
|
146 |
+
"rewards/format_reward/mean": 0.0,
|
147 |
+
"rewards/format_reward/std": 0.0,
|
148 |
+
"step": 100
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"clip_ratio": 0.0,
|
152 |
+
"completions/clipped_ratio": 0.0,
|
153 |
+
"completions/max_length": 541.625,
|
154 |
+
"completions/max_terminated_length": 541.625,
|
155 |
+
"completions/mean_length": 409.9083450317383,
|
156 |
+
"completions/mean_terminated_length": 409.9083450317383,
|
157 |
+
"completions/min_length": 306.25,
|
158 |
+
"completions/min_terminated_length": 306.25,
|
159 |
+
"epoch": 0.4715127701375246,
|
160 |
+
"grad_norm": 0.45989535358245415,
|
161 |
+
"kl": 0.012615966796875,
|
162 |
+
"learning_rate": 2.829305368846822e-06,
|
163 |
+
"loss": -0.0081,
|
164 |
+
"num_tokens": 2205137.0,
|
165 |
+
"reward": 9.583333444595336,
|
166 |
+
"reward_std": 0.5303301155567169,
|
167 |
+
"rewards/accuracy_reward/mean": 1.9166666597127915,
|
168 |
+
"rewards/accuracy_reward/std": 0.18471990823745726,
|
169 |
+
"rewards/format_reward/mean": 0.0,
|
170 |
+
"rewards/format_reward/std": 0.0,
|
171 |
+
"step": 120
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"clip_ratio": 0.0,
|
175 |
+
"completions/clipped_ratio": 0.0,
|
176 |
+
"completions/max_length": 566.95,
|
177 |
+
"completions/max_terminated_length": 566.95,
|
178 |
+
"completions/mean_length": 433.34167709350584,
|
179 |
+
"completions/mean_terminated_length": 433.34167709350584,
|
180 |
+
"completions/min_length": 330.4,
|
181 |
+
"completions/min_terminated_length": 330.4,
|
182 |
+
"epoch": 0.550098231827112,
|
183 |
+
"grad_norm": 0.037923463367969736,
|
184 |
+
"kl": 0.0144561767578125,
|
185 |
+
"learning_rate": 2.7196511415705416e-06,
|
186 |
+
"loss": 0.0048,
|
187 |
+
"num_tokens": 2588775.0,
|
188 |
+
"reward": 9.416666793823243,
|
189 |
+
"reward_std": 0.4714045524597168,
|
190 |
+
"rewards/accuracy_reward/mean": 1.883333331346512,
|
191 |
+
"rewards/accuracy_reward/std": 0.2257540464401245,
|
192 |
+
"rewards/format_reward/mean": 0.0,
|
193 |
+
"rewards/format_reward/std": 0.0,
|
194 |
+
"step": 140
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"clip_ratio": 0.0,
|
198 |
+
"completions/clipped_ratio": 0.0,
|
199 |
+
"completions/max_length": 567.8,
|
200 |
+
"completions/max_terminated_length": 567.8,
|
201 |
+
"completions/mean_length": 438.3958457946777,
|
202 |
+
"completions/mean_terminated_length": 438.3958457946777,
|
203 |
+
"completions/min_length": 330.85,
|
204 |
+
"completions/min_terminated_length": 330.85,
|
205 |
+
"epoch": 0.6286836935166994,
|
206 |
+
"grad_norm": 0.03890017799267318,
|
207 |
+
"kl": 0.0144439697265625,
|
208 |
+
"learning_rate": 2.5862577921562017e-06,
|
209 |
+
"loss": 0.0022,
|
210 |
+
"num_tokens": 2969880.0,
|
211 |
+
"reward": 9.70833342075348,
|
212 |
+
"reward_std": 0.294627845287323,
|
213 |
+
"rewards/accuracy_reward/mean": 1.941666665673256,
|
214 |
+
"rewards/accuracy_reward/std": 0.1278819650411606,
|
215 |
+
"rewards/format_reward/mean": 0.0,
|
216 |
+
"rewards/format_reward/std": 0.0,
|
217 |
+
"step": 160
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"clip_ratio": 0.0,
|
221 |
+
"completions/clipped_ratio": 0.0,
|
222 |
+
"completions/max_length": 542.925,
|
223 |
+
"completions/max_terminated_length": 542.925,
|
224 |
+
"completions/mean_length": 432.9458457946777,
|
225 |
+
"completions/mean_terminated_length": 432.9458457946777,
|
226 |
+
"completions/min_length": 343.425,
|
227 |
+
"completions/min_terminated_length": 343.425,
|
228 |
+
"epoch": 0.7072691552062869,
|
229 |
+
"grad_norm": 0.029836981989722188,
|
230 |
+
"kl": 0.01332855224609375,
|
231 |
+
"learning_rate": 2.4317216704174657e-06,
|
232 |
+
"loss": 0.0032,
|
233 |
+
"num_tokens": 3344559.0,
|
234 |
+
"reward": 9.666666722297668,
|
235 |
+
"reward_std": 0.3535534143447876,
|
236 |
+
"rewards/accuracy_reward/mean": 1.933333334326744,
|
237 |
+
"rewards/accuracy_reward/std": 0.11828449666500092,
|
238 |
+
"rewards/format_reward/mean": 0.0,
|
239 |
+
"rewards/format_reward/std": 0.0,
|
240 |
+
"step": 180
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"clip_ratio": 0.0,
|
244 |
+
"completions/clipped_ratio": 0.0,
|
245 |
+
"completions/max_length": 553.825,
|
246 |
+
"completions/max_terminated_length": 553.825,
|
247 |
+
"completions/mean_length": 432.8000114440918,
|
248 |
+
"completions/mean_terminated_length": 432.8000114440918,
|
249 |
+
"completions/min_length": 329.975,
|
250 |
+
"completions/min_terminated_length": 329.975,
|
251 |
+
"epoch": 0.7858546168958742,
|
252 |
+
"grad_norm": 0.028665697797427125,
|
253 |
+
"kl": 0.01359100341796875,
|
254 |
+
"learning_rate": 2.2590506461817453e-06,
|
255 |
+
"loss": 0.0011,
|
256 |
+
"num_tokens": 3723883.0,
|
257 |
+
"reward": 9.666666769981385,
|
258 |
+
"reward_std": 0.4714045524597168,
|
259 |
+
"rewards/accuracy_reward/mean": 1.9333333283662797,
|
260 |
+
"rewards/accuracy_reward/std": 0.14829438030719758,
|
261 |
+
"rewards/format_reward/mean": 0.0,
|
262 |
+
"rewards/format_reward/std": 0.0,
|
263 |
+
"step": 200
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"clip_ratio": 0.0,
|
267 |
+
"completions/clipped_ratio": 0.0,
|
268 |
+
"completions/max_length": 565.9,
|
269 |
+
"completions/max_terminated_length": 565.9,
|
270 |
+
"completions/mean_length": 442.46251068115237,
|
271 |
+
"completions/mean_terminated_length": 442.46251068115237,
|
272 |
+
"completions/min_length": 349.45,
|
273 |
+
"completions/min_terminated_length": 349.45,
|
274 |
+
"epoch": 0.8644400785854617,
|
275 |
+
"grad_norm": 0.03081820386262942,
|
276 |
+
"kl": 0.01476898193359375,
|
277 |
+
"learning_rate": 2.0716055645254116e-06,
|
278 |
+
"loss": -0.0006,
|
279 |
+
"num_tokens": 4106760.0,
|
280 |
+
"reward": 9.812500023841858,
|
281 |
+
"reward_std": 0.2062394917011261,
|
282 |
+
"rewards/accuracy_reward/mean": 1.9625000029802322,
|
283 |
+
"rewards/accuracy_reward/std": 0.06714880466461182,
|
284 |
+
"rewards/format_reward/mean": 0.0,
|
285 |
+
"rewards/format_reward/std": 0.0,
|
286 |
+
"step": 220
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"clip_ratio": 0.0,
|
290 |
+
"completions/clipped_ratio": 0.0,
|
291 |
+
"completions/max_length": 570.925,
|
292 |
+
"completions/max_terminated_length": 570.925,
|
293 |
+
"completions/mean_length": 430.3500122070312,
|
294 |
+
"completions/mean_terminated_length": 430.3500122070312,
|
295 |
+
"completions/min_length": 335.975,
|
296 |
+
"completions/min_terminated_length": 335.975,
|
297 |
+
"epoch": 0.9430255402750491,
|
298 |
+
"grad_norm": 0.0325454508362931,
|
299 |
+
"kl": 0.01363067626953125,
|
300 |
+
"learning_rate": 1.8730348307472826e-06,
|
301 |
+
"loss": -0.0006,
|
302 |
+
"num_tokens": 4498062.0,
|
303 |
+
"reward": 9.70833342075348,
|
304 |
+
"reward_std": 0.4124789834022522,
|
305 |
+
"rewards/accuracy_reward/mean": 1.9416666626930237,
|
306 |
+
"rewards/accuracy_reward/std": 0.1278819650411606,
|
307 |
+
"rewards/format_reward/mean": 0.0,
|
308 |
+
"rewards/format_reward/std": 0.0,
|
309 |
+
"step": 240
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"clip_ratio": 0.0,
|
313 |
+
"completions/clipped_ratio": 0.0,
|
314 |
+
"completions/max_length": 546.625,
|
315 |
+
"completions/max_terminated_length": 546.625,
|
316 |
+
"completions/mean_length": 429.0875114440918,
|
317 |
+
"completions/mean_terminated_length": 429.0875114440918,
|
318 |
+
"completions/min_length": 333.85,
|
319 |
+
"completions/min_terminated_length": 333.85,
|
320 |
+
"epoch": 1.0235756385068762,
|
321 |
+
"grad_norm": 0.0281329807884298,
|
322 |
+
"kl": 0.01484832763671875,
|
323 |
+
"learning_rate": 1.667203398309488e-06,
|
324 |
+
"loss": -0.0006,
|
325 |
+
"num_tokens": 4844839.0,
|
326 |
+
"reward": 9.666666746139526,
|
327 |
+
"reward_std": 0.47140454649925234,
|
328 |
+
"rewards/accuracy_reward/mean": 1.9333333313465118,
|
329 |
+
"rewards/accuracy_reward/std": 0.13859225809574127,
|
330 |
+
"rewards/format_reward/mean": 0.0,
|
331 |
+
"rewards/format_reward/std": 0.0,
|
332 |
+
"step": 260
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"clip_ratio": 0.0,
|
336 |
+
"completions/clipped_ratio": 0.0,
|
337 |
+
"completions/max_length": 530.05,
|
338 |
+
"completions/max_terminated_length": 530.05,
|
339 |
+
"completions/mean_length": 412.9875099182129,
|
340 |
+
"completions/mean_terminated_length": 412.9875099182129,
|
341 |
+
"completions/min_length": 319.675,
|
342 |
+
"completions/min_terminated_length": 319.675,
|
343 |
+
"epoch": 1.1021611001964637,
|
344 |
+
"grad_norm": 0.03324322790874101,
|
345 |
+
"kl": 0.0139068603515625,
|
346 |
+
"learning_rate": 1.458117541914647e-06,
|
347 |
+
"loss": 0.0015,
|
348 |
+
"num_tokens": 5222808.0,
|
349 |
+
"reward": 9.791666746139526,
|
350 |
+
"reward_std": 0.294627845287323,
|
351 |
+
"rewards/accuracy_reward/mean": 1.9583333313465119,
|
352 |
+
"rewards/accuracy_reward/std": 0.10206207633018494,
|
353 |
+
"rewards/format_reward/mean": 0.0,
|
354 |
+
"rewards/format_reward/std": 0.0,
|
355 |
+
"step": 280
|
356 |
+
},
|
357 |
+
{
|
358 |
+
"clip_ratio": 0.0,
|
359 |
+
"completions/clipped_ratio": 0.0,
|
360 |
+
"completions/max_length": 524.825,
|
361 |
+
"completions/max_terminated_length": 524.825,
|
362 |
+
"completions/mean_length": 404.3958435058594,
|
363 |
+
"completions/mean_terminated_length": 404.3958435058594,
|
364 |
+
"completions/min_length": 308.875,
|
365 |
+
"completions/min_terminated_length": 308.875,
|
366 |
+
"epoch": 1.180746561886051,
|
367 |
+
"grad_norm": 0.03412086623724304,
|
368 |
+
"kl": 0.0137176513671875,
|
369 |
+
"learning_rate": 1.2498468799258468e-06,
|
370 |
+
"loss": 0.0031,
|
371 |
+
"num_tokens": 5583225.0,
|
372 |
+
"reward": 9.791666746139526,
|
373 |
+
"reward_std": 0.294627845287323,
|
374 |
+
"rewards/accuracy_reward/mean": 1.9583333283662796,
|
375 |
+
"rewards/accuracy_reward/std": 0.10206207633018494,
|
376 |
+
"rewards/format_reward/mean": 0.0,
|
377 |
+
"rewards/format_reward/std": 0.0,
|
378 |
+
"step": 300
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"clip_ratio": 0.0,
|
382 |
+
"completions/clipped_ratio": 0.0,
|
383 |
+
"completions/max_length": 516.05,
|
384 |
+
"completions/max_terminated_length": 516.05,
|
385 |
+
"completions/mean_length": 395.33334197998045,
|
386 |
+
"completions/mean_terminated_length": 395.33334197998045,
|
387 |
+
"completions/min_length": 304.5,
|
388 |
+
"completions/min_terminated_length": 304.5,
|
389 |
+
"epoch": 1.2593320235756384,
|
390 |
+
"grad_norm": 0.03048435461570321,
|
391 |
+
"kl": 0.01298065185546875,
|
392 |
+
"learning_rate": 1.0464451638743333e-06,
|
393 |
+
"loss": 0.0031,
|
394 |
+
"num_tokens": 5944449.0,
|
395 |
+
"reward": 9.770833396911621,
|
396 |
+
"reward_std": 0.2062394917011261,
|
397 |
+
"rewards/accuracy_reward/mean": 1.9541666686534882,
|
398 |
+
"rewards/accuracy_reward/std": 0.09726334214210511,
|
399 |
+
"rewards/format_reward/mean": 0.0,
|
400 |
+
"rewards/format_reward/std": 0.0,
|
401 |
+
"step": 320
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"clip_ratio": 0.0,
|
405 |
+
"completions/clipped_ratio": 0.0,
|
406 |
+
"completions/max_length": 553.4,
|
407 |
+
"completions/max_terminated_length": 553.4,
|
408 |
+
"completions/mean_length": 425.20000915527345,
|
409 |
+
"completions/mean_terminated_length": 425.20000915527345,
|
410 |
+
"completions/min_length": 323.3,
|
411 |
+
"completions/min_terminated_length": 323.3,
|
412 |
+
"epoch": 1.3379174852652258,
|
413 |
+
"grad_norm": 0.7144758682156833,
|
414 |
+
"kl": 0.01336822509765625,
|
415 |
+
"learning_rate": 8.518713767970263e-07,
|
416 |
+
"loss": 0.0009,
|
417 |
+
"num_tokens": 6321679.0,
|
418 |
+
"reward": 9.604166793823243,
|
419 |
+
"reward_std": 0.4419417679309845,
|
420 |
+
"rewards/accuracy_reward/mean": 1.9208333313465118,
|
421 |
+
"rewards/accuracy_reward/std": 0.17891300320625306,
|
422 |
+
"rewards/format_reward/mean": 0.0,
|
423 |
+
"rewards/format_reward/std": 0.0,
|
424 |
+
"step": 340
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"clip_ratio": 0.0,
|
428 |
+
"completions/clipped_ratio": 0.0,
|
429 |
+
"completions/max_length": 574.225,
|
430 |
+
"completions/max_terminated_length": 574.225,
|
431 |
+
"completions/mean_length": 443.48334350585935,
|
432 |
+
"completions/mean_terminated_length": 443.48334350585935,
|
433 |
+
"completions/min_length": 340.075,
|
434 |
+
"completions/min_terminated_length": 340.075,
|
435 |
+
"epoch": 1.4165029469548134,
|
436 |
+
"grad_norm": 0.03770084296737852,
|
437 |
+
"kl": 0.01368255615234375,
|
438 |
+
"learning_rate": 6.69912676134984e-07,
|
439 |
+
"loss": 0.0042,
|
440 |
+
"num_tokens": 6707325.0,
|
441 |
+
"reward": 9.666666746139526,
|
442 |
+
"reward_std": 0.35355340838432314,
|
443 |
+
"rewards/accuracy_reward/mean": 1.9333333313465118,
|
444 |
+
"rewards/accuracy_reward/std": 0.13859225809574127,
|
445 |
+
"rewards/format_reward/mean": 0.0,
|
446 |
+
"rewards/format_reward/std": 0.0,
|
447 |
+
"step": 360
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"clip_ratio": 0.0,
|
451 |
+
"completions/clipped_ratio": 0.0,
|
452 |
+
"completions/max_length": 562.675,
|
453 |
+
"completions/max_terminated_length": 562.675,
|
454 |
+
"completions/mean_length": 438.5416793823242,
|
455 |
+
"completions/mean_terminated_length": 438.5416793823242,
|
456 |
+
"completions/min_length": 346.0,
|
457 |
+
"completions/min_terminated_length": 346.0,
|
458 |
+
"epoch": 1.4950884086444007,
|
459 |
+
"grad_norm": 0.02727792542475105,
|
460 |
+
"kl": 0.0121246337890625,
|
461 |
+
"learning_rate": 5.041106810216376e-07,
|
462 |
+
"loss": 0.0017,
|
463 |
+
"num_tokens": 7081575.0,
|
464 |
+
"reward": 9.604166769981385,
|
465 |
+
"reward_std": 0.4419417679309845,
|
466 |
+
"rewards/accuracy_reward/mean": 1.9208333283662795,
|
467 |
+
"rewards/accuracy_reward/std": 0.16006682813167572,
|
468 |
+
"rewards/format_reward/mean": 0.0,
|
469 |
+
"rewards/format_reward/std": 0.0,
|
470 |
+
"step": 380
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"clip_ratio": 0.0,
|
474 |
+
"completions/clipped_ratio": 0.0,
|
475 |
+
"completions/max_length": 549.7,
|
476 |
+
"completions/max_terminated_length": 549.7,
|
477 |
+
"completions/mean_length": 434.0916748046875,
|
478 |
+
"completions/mean_terminated_length": 434.0916748046875,
|
479 |
+
"completions/min_length": 341.4,
|
480 |
+
"completions/min_terminated_length": 341.4,
|
481 |
+
"epoch": 1.5736738703339883,
|
482 |
+
"grad_norm": 0.030573782966379155,
|
483 |
+
"kl": 0.012384033203125,
|
484 |
+
"learning_rate": 3.5769253869489515e-07,
|
485 |
+
"loss": -0.0017,
|
486 |
+
"num_tokens": 7465665.0,
|
487 |
+
"reward": 9.77083342075348,
|
488 |
+
"reward_std": 0.3240906298160553,
|
489 |
+
"rewards/accuracy_reward/mean": 1.9541666626930236,
|
490 |
+
"rewards/accuracy_reward/std": 0.11226828396320343,
|
491 |
+
"rewards/format_reward/mean": 0.0,
|
492 |
+
"rewards/format_reward/std": 0.0,
|
493 |
+
"step": 400
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"clip_ratio": 0.0,
|
497 |
+
"completions/clipped_ratio": 0.0,
|
498 |
+
"completions/max_length": 529.95,
|
499 |
+
"completions/max_terminated_length": 529.95,
|
500 |
+
"completions/mean_length": 423.4125099182129,
|
501 |
+
"completions/mean_terminated_length": 423.4125099182129,
|
502 |
+
"completions/min_length": 337.4,
|
503 |
+
"completions/min_terminated_length": 337.4,
|
504 |
+
"epoch": 1.6522593320235757,
|
505 |
+
"grad_norm": 0.026892810354609234,
|
506 |
+
"kl": 0.011712646484375,
|
507 |
+
"learning_rate": 2.3350811174697772e-07,
|
508 |
+
"loss": 0.0009,
|
509 |
+
"num_tokens": 7851292.0,
|
510 |
+
"reward": 9.895833349227905,
|
511 |
+
"reward_std": 0.1473139226436615,
|
512 |
+
"rewards/accuracy_reward/mean": 1.9791666686534881,
|
513 |
+
"rewards/accuracy_reward/std": 0.03602609634399414,
|
514 |
+
"rewards/format_reward/mean": 0.0,
|
515 |
+
"rewards/format_reward/std": 0.0,
|
516 |
+
"step": 420
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"clip_ratio": 0.0,
|
520 |
+
"completions/clipped_ratio": 0.0,
|
521 |
+
"completions/max_length": 548.65,
|
522 |
+
"completions/max_terminated_length": 548.65,
|
523 |
+
"completions/mean_length": 438.77084121704104,
|
524 |
+
"completions/mean_terminated_length": 438.77084121704104,
|
525 |
+
"completions/min_length": 344.9,
|
526 |
+
"completions/min_terminated_length": 344.9,
|
527 |
+
"epoch": 1.730844793713163,
|
528 |
+
"grad_norm": 0.7530350302626055,
|
529 |
+
"kl": 0.012438201904296875,
|
530 |
+
"learning_rate": 1.3397450879073447e-07,
|
531 |
+
"loss": 0.0001,
|
532 |
+
"num_tokens": 8224807.0,
|
533 |
+
"reward": 9.68750011920929,
|
534 |
+
"reward_std": 0.4419417679309845,
|
535 |
+
"rewards/accuracy_reward/mean": 1.9374999940395354,
|
536 |
+
"rewards/accuracy_reward/std": 0.1530931144952774,
|
537 |
+
"rewards/format_reward/mean": 0.0,
|
538 |
+
"rewards/format_reward/std": 0.0,
|
539 |
+
"step": 440
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"clip_ratio": 0.0,
|
543 |
+
"completions/clipped_ratio": 0.0,
|
544 |
+
"completions/max_length": 531.9,
|
545 |
+
"completions/max_terminated_length": 531.9,
|
546 |
+
"completions/mean_length": 419.85418167114256,
|
547 |
+
"completions/mean_terminated_length": 419.85418167114256,
|
548 |
+
"completions/min_length": 322.85,
|
549 |
+
"completions/min_terminated_length": 322.85,
|
550 |
+
"epoch": 1.8094302554027504,
|
551 |
+
"grad_norm": 0.3868391159083008,
|
552 |
+
"kl": 0.011206817626953126,
|
553 |
+
"learning_rate": 6.102903818991374e-08,
|
554 |
+
"loss": 0.0016,
|
555 |
+
"num_tokens": 8589626.0,
|
556 |
+
"reward": 9.55208342075348,
|
557 |
+
"reward_std": 0.5155987203121185,
|
558 |
+
"rewards/accuracy_reward/mean": 1.910416665673256,
|
559 |
+
"rewards/accuracy_reward/std": 0.1655041679739952,
|
560 |
+
"rewards/format_reward/mean": 0.0,
|
561 |
+
"rewards/format_reward/std": 0.0,
|
562 |
+
"step": 460
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"clip_ratio": 0.0,
|
566 |
+
"completions/clipped_ratio": 0.0,
|
567 |
+
"completions/max_length": 554.8,
|
568 |
+
"completions/max_terminated_length": 554.8,
|
569 |
+
"completions/mean_length": 438.46667556762696,
|
570 |
+
"completions/mean_terminated_length": 438.46667556762696,
|
571 |
+
"completions/min_length": 341.875,
|
572 |
+
"completions/min_terminated_length": 341.875,
|
573 |
+
"epoch": 1.888015717092338,
|
574 |
+
"grad_norm": 0.05259089172915785,
|
575 |
+
"kl": 0.011602783203125,
|
576 |
+
"learning_rate": 1.60915005555175e-08,
|
577 |
+
"loss": -0.0007,
|
578 |
+
"num_tokens": 8961090.0,
|
579 |
+
"reward": 9.562500095367431,
|
580 |
+
"reward_std": 0.3830161988735199,
|
581 |
+
"rewards/accuracy_reward/mean": 1.9125,
|
582 |
+
"rewards/accuracy_reward/std": 0.16931553483009337,
|
583 |
+
"rewards/format_reward/mean": 0.0,
|
584 |
+
"rewards/format_reward/std": 0.0,
|
585 |
+
"step": 480
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"clip_ratio": 0.0,
|
589 |
+
"completions/clipped_ratio": 0.0,
|
590 |
+
"completions/max_length": 544.9,
|
591 |
+
"completions/max_terminated_length": 544.9,
|
592 |
+
"completions/mean_length": 435.1583450317383,
|
593 |
+
"completions/mean_terminated_length": 435.1583450317383,
|
594 |
+
"completions/min_length": 346.2,
|
595 |
+
"completions/min_terminated_length": 346.2,
|
596 |
+
"epoch": 1.9666011787819253,
|
597 |
+
"grad_norm": 0.02646975626285412,
|
598 |
+
"kl": 0.01181793212890625,
|
599 |
+
"learning_rate": 3.655394190787975e-11,
|
600 |
+
"loss": 0.0015,
|
601 |
+
"num_tokens": 9338954.0,
|
602 |
+
"reward": 9.750000047683717,
|
603 |
+
"reward_std": 0.2357022762298584,
|
604 |
+
"rewards/accuracy_reward/mean": 1.9499999970197677,
|
605 |
+
"rewards/accuracy_reward/std": 0.08862337470054626,
|
606 |
+
"rewards/format_reward/mean": 0.0,
|
607 |
+
"rewards/format_reward/std": 0.0,
|
608 |
+
"step": 500
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 1.9666011787819253,
|
612 |
+
"step": 500,
|
613 |
+
"total_flos": 0.0,
|
614 |
+
"train_loss": 0.0013743292051367462,
|
615 |
+
"train_runtime": 7960.7406,
|
616 |
+
"train_samples_per_second": 0.754,
|
617 |
+
"train_steps_per_second": 0.063
|
618 |
+
}
|
619 |
+
],
|
620 |
+
"logging_steps": 20,
|
621 |
+
"max_steps": 500,
|
622 |
+
"num_input_tokens_seen": 9338954,
|
623 |
+
"num_train_epochs": 2,
|
624 |
+
"save_steps": 500,
|
625 |
+
"stateful_callbacks": {
|
626 |
+
"TrainerControl": {
|
627 |
+
"args": {
|
628 |
+
"should_epoch_stop": false,
|
629 |
+
"should_evaluate": false,
|
630 |
+
"should_log": false,
|
631 |
+
"should_save": false,
|
632 |
+
"should_training_stop": false
|
633 |
+
},
|
634 |
+
"attributes": {}
|
635 |
+
}
|
636 |
+
},
|
637 |
+
"total_flos": 0.0,
|
638 |
+
"train_batch_size": 2,
|
639 |
+
"trial_name": null,
|
640 |
+
"trial_params": null
|
641 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:09182feceeb6e2499f0d2611b1d1349926d7b36c79f0961a3c22db11ab66707a
|
3 |
+
size 8568
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|