初始化项目,由ModelHub XC社区提供模型

Model: harsha070/expfinal-qwen-mbpp-s42-lambda-0p75
Source: Original Platform
This commit is contained in:
ModelHub XC
2026-06-16 06:58:17 +08:00
commit 72640e3c3c
33 changed files with 983 additions and 0 deletions

36
.gitattributes vendored Normal file
View File

@@ -0,0 +1,36 @@
*.7z filter=lfs diff=lfs merge=lfs -text
*.arrow filter=lfs diff=lfs merge=lfs -text
*.bin filter=lfs diff=lfs merge=lfs -text
*.bz2 filter=lfs diff=lfs merge=lfs -text
*.ckpt filter=lfs diff=lfs merge=lfs -text
*.ftz filter=lfs diff=lfs merge=lfs -text
*.gz filter=lfs diff=lfs merge=lfs -text
*.h5 filter=lfs diff=lfs merge=lfs -text
*.joblib filter=lfs diff=lfs merge=lfs -text
*.lfs.* filter=lfs diff=lfs merge=lfs -text
*.mlmodel filter=lfs diff=lfs merge=lfs -text
*.model filter=lfs diff=lfs merge=lfs -text
*.msgpack filter=lfs diff=lfs merge=lfs -text
*.npy filter=lfs diff=lfs merge=lfs -text
*.npz filter=lfs diff=lfs merge=lfs -text
*.onnx filter=lfs diff=lfs merge=lfs -text
*.ot filter=lfs diff=lfs merge=lfs -text
*.parquet filter=lfs diff=lfs merge=lfs -text
*.pb filter=lfs diff=lfs merge=lfs -text
*.pickle filter=lfs diff=lfs merge=lfs -text
*.pkl filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
*.pth filter=lfs diff=lfs merge=lfs -text
*.rar filter=lfs diff=lfs merge=lfs -text
*.safetensors filter=lfs diff=lfs merge=lfs -text
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
*.tar.* filter=lfs diff=lfs merge=lfs -text
*.tar filter=lfs diff=lfs merge=lfs -text
*.tflite filter=lfs diff=lfs merge=lfs -text
*.tgz filter=lfs diff=lfs merge=lfs -text
*.wasm filter=lfs diff=lfs merge=lfs -text
*.xz filter=lfs diff=lfs merge=lfs -text
*.zip filter=lfs diff=lfs merge=lfs -text
*.zst filter=lfs diff=lfs merge=lfs -text
*tfevents* filter=lfs diff=lfs merge=lfs -text
tokenizer.json filter=lfs diff=lfs merge=lfs -text

67
README.md Normal file
View File

@@ -0,0 +1,67 @@
---
base_model: harsha070/sft-warmup-qwen-v1
library_name: transformers
model_name: expfinal-qwen-mbpp-s42-lambda-0p75
tags:
- generated_from_trainer
- grpo
- trl
licence: license
---
# Model Card for expfinal-qwen-mbpp-s42-lambda-0p75
This model is a fine-tuned version of [harsha070/sft-warmup-qwen-v1](https://huggingface.co/harsha070/sft-warmup-qwen-v1).
It has been trained using [TRL](https://github.com/huggingface/trl).
## Quick start
```python
from transformers import pipeline
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?"
generator = pipeline("text-generation", model="harsha070/expfinal-qwen-mbpp-s42-lambda-0p75", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
print(output["generated_text"])
```
## Training procedure
[<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/models-self5933/obfuscation-early-warning/runs/ygj72uo9)
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).
### Framework versions
- TRL: 1.3.0
- Transformers: 5.7.0
- Pytorch: 2.11.0
- Datasets: 4.8.5
- Tokenizers: 0.22.2
## Citations
Cite GRPO as:
```bibtex
@article{shao2024deepseekmath,
title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
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},
year = 2024,
eprint = {arXiv:2402.03300},
}
```
Cite TRL as:
```bibtex
@software{vonwerra2020trl,
title = {{TRL: Transformers Reinforcement Learning}},
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
license = {Apache-2.0},
url = {https://github.com/huggingface/trl},
year = {2020}
}
```

54
chat_template.jinja Normal file
View File

@@ -0,0 +1,54 @@
{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0]['role'] == 'system' %}
{{- messages[0]['content'] }}
{%- else %}
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
{%- endif %}
{{- "\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>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\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" }}
{%- else %}
{%- if messages[0]['role'] == 'system' %}
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
{%- else %}
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{{- '<|im_start|>' + message.role }}
{%- if message.content %}
{{- '\n' + message.content }}
{%- endif %}
{%- for tool_call in message.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '\n<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{{- tool_call.arguments | tojson }}
{{- '}\n</tool_call>' }}
{%- endfor %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- message.content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- endif %}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:4759825f34ab1a4e2b3436d0e0c513856587e242d04bbcaee84f641f6f7db680
size 14278

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9a1f1f51bdc71b4c076b70511255f730521face27b392168d5e7bcec64c2dd09
size 14435

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:58a26e1179f8e08b57c51f03344f21b695c85b4ce2d17ff148919d3a5e6f2904
size 14987

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:800593a66d57f53c12faff4e1f426b11f846d1d8a809090ed918e0f9d64e96ab
size 14276

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5b7ebf3cc40b42a20629d5207a831e6540c96fdf7200636c9f311be925d55fbd
size 16951

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:9ab839d5cd2fbb31028790207b60e13c9a41d0fc315d3ee52fd59914a46b57a1
size 17181

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:a09134033cacd8cb6f64573317575cc1df987bb9091b134dd57d440d015c10c3
size 15649

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:aaec41b4a4bae7fd30722d5614a141884b348085686861df21831771161086df
size 17667

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:515ba7091175f986b1a02166baba9170033faa51a7bd8b9801fc80547e351cd1
size 16809

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:28477cfbb7b51953c24cb577e9d0c7fb8519d255a79964524a90af665516a2aa
size 15182

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:85940ea412bb805d2f2f34defea92f36dda1fc608d4535fb7618f7e076082d85
size 16789

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5e38b75427052a43a4268081a0052a30a5c80b66ac4158ff109284bdb81e9438
size 18474

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:cff4469e753ffa11b38a6e2153091f527ae743d9a9a4924d4992ec7a61ff322b
size 12896

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:5957b6ed35fe7a10bf49400f90f31ea2609cb1d3bde8d3198dd13df849d9d79b
size 14117

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:f9e7c50fa7aea973d00c0c85500fae58d0d80ac7cde60b4b657b1f0462239385
size 15649

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:03a407d307866993e202b1e9801d5798223dbf42fe263f45b708725c27118c9b
size 13980

69
config.json Normal file
View File

@@ -0,0 +1,69 @@
{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": null,
"dtype": "bfloat16",
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 11008,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 32768,
"max_window_layers": 70,
"model_type": "qwen2",
"num_attention_heads": 16,
"num_hidden_layers": 36,
"num_key_value_heads": 2,
"pad_token_id": 151643,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.7.0",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}

13
generation_config.json Normal file
View File

@@ -0,0 +1,13 @@
{
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.05,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "5.7.0"
}

View File

@@ -0,0 +1,54 @@
{%- if tools %}
{{- '<|im_start|>system\n' }}
{%- if messages[0]['role'] == 'system' %}
{{- messages[0]['content'] }}
{%- else %}
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
{%- endif %}
{{- "\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>" }}
{%- for tool in tools %}
{{- "\n" }}
{{- tool | tojson }}
{%- endfor %}
{{- "\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" }}
{%- else %}
{%- if messages[0]['role'] == 'system' %}
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
{%- else %}
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- for message in messages %}
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
{%- elif message.role == "assistant" %}
{{- '<|im_start|>' + message.role }}
{%- if message.content %}
{{- '\n' + message.content }}
{%- endif %}
{%- for tool_call in message.tool_calls %}
{%- if tool_call.function is defined %}
{%- set tool_call = tool_call.function %}
{%- endif %}
{{- '\n<tool_call>\n{"name": "' }}
{{- tool_call.name }}
{{- '", "arguments": ' }}
{{- tool_call.arguments | tojson }}
{{- '}\n</tool_call>' }}
{%- endfor %}
{{- '<|im_end|>\n' }}
{%- elif message.role == "tool" %}
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
{{- '<|im_start|>user' }}
{%- endif %}
{{- '\n<tool_response>\n' }}
{{- message.content }}
{{- '\n</tool_response>' }}
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
{{- '<|im_end|>\n' }}
{%- endif %}
{%- endif %}
{%- endfor %}
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- endif %}

View File

@@ -0,0 +1,69 @@
{
"architectures": [
"Qwen2ForCausalLM"
],
"attention_dropout": 0.0,
"bos_token_id": null,
"dtype": "bfloat16",
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 2048,
"initializer_range": 0.02,
"intermediate_size": 11008,
"layer_types": [
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention",
"full_attention"
],
"max_position_embeddings": 32768,
"max_window_layers": 70,
"model_type": "qwen2",
"num_attention_heads": 16,
"num_hidden_layers": 36,
"num_key_value_heads": 2,
"pad_token_id": 151643,
"rms_norm_eps": 1e-06,
"rope_parameters": {
"rope_theta": 1000000.0,
"rope_type": "default"
},
"sliding_window": null,
"tie_word_embeddings": true,
"transformers_version": "5.7.0",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 151936
}

View File

@@ -0,0 +1,13 @@
{
"do_sample": true,
"eos_token_id": [
151645,
151643
],
"pad_token_id": 151643,
"repetition_penalty": 1.05,
"temperature": 0.7,
"top_k": 20,
"top_p": 0.8,
"transformers_version": "5.7.0"
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6753ac3d39840dcbcb8da23e74296953ddc011bb9abcf19b87e7c7e7bfb56447
size 6171927112

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
size 11421892

View File

@@ -0,0 +1,30 @@
{
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"is_local": false,
"local_files_only": false,
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

View File

@@ -0,0 +1,482 @@
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0666666666666667,
"eval_steps": 500,
"global_step": 160,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.0625,
"completions/max_length": 419.8,
"completions/max_terminated_length": 406.8,
"completions/mean_length": 314.8625,
"completions/mean_terminated_length": 307.5414337158203,
"completions/min_length": 206.3,
"completions/min_terminated_length": 206.3,
"entropy": 0.44715926721692084,
"epoch": 0.06666666666666667,
"frac_reward_zero_std": 0.15,
"grad_norm": 4.625,
"kl": 0.09871633112052222,
"learning_rate": 9.4375e-06,
"loss": -0.010261553525924682,
"num_tokens": 38057.0,
"reward": 0.9905517578125,
"reward_std": 0.6565703094005585,
"rewards/JointRewardFunction/mean": 0.9905517578125,
"rewards/JointRewardFunction/std": 0.6565703094005585,
"step": 10,
"step_time": 19.035294922399043
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.2,
"completions/max_length": 458.4,
"completions/max_terminated_length": 426.1,
"completions/mean_length": 343.8,
"completions/mean_terminated_length": 313.08583984375,
"completions/min_length": 211.7,
"completions/min_terminated_length": 211.7,
"entropy": 0.31359912948682905,
"epoch": 0.13333333333333333,
"frac_reward_zero_std": 0.1,
"grad_norm": 3.125,
"kl": 0.14868967132642866,
"learning_rate": 8.8125e-06,
"loss": -0.023439544439315795,
"num_tokens": 79321.0,
"reward": 1.072357177734375,
"reward_std": 0.5760923266410828,
"rewards/JointRewardFunction/mean": 1.072357177734375,
"rewards/JointRewardFunction/std": 0.5760923385620117,
"step": 20,
"step_time": 21.0788949906022
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.0,
"completions/max_length": 351.8,
"completions/max_terminated_length": 351.8,
"completions/mean_length": 260.625,
"completions/mean_terminated_length": 260.625,
"completions/min_length": 174.2,
"completions/min_terminated_length": 174.2,
"entropy": 0.3843053654767573,
"epoch": 0.2,
"frac_reward_zero_std": 0.1,
"grad_norm": 4.5625,
"kl": 0.18629266200587152,
"learning_rate": 8.1875e-06,
"loss": 0.004870641976594925,
"num_tokens": 111587.0,
"reward": 1.3501953125,
"reward_std": 0.6562108278274537,
"rewards/JointRewardFunction/mean": 1.3501953125,
"rewards/JointRewardFunction/std": 0.6562108367681503,
"step": 30,
"step_time": 16.898221987598664
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.0375,
"completions/max_length": 429.1,
"completions/max_terminated_length": 425.2,
"completions/mean_length": 327.5125,
"completions/mean_terminated_length": 321.53809814453126,
"completions/min_length": 227.9,
"completions/min_terminated_length": 227.9,
"entropy": 0.44414809048175813,
"epoch": 0.26666666666666666,
"frac_reward_zero_std": 0.35,
"grad_norm": 6.34375,
"kl": 0.14110819818452,
"learning_rate": 7.5625e-06,
"loss": -0.03268973827362061,
"num_tokens": 151100.0,
"reward": 1.493701171875,
"reward_std": 0.3899420065339655,
"rewards/JointRewardFunction/mean": 1.493701171875,
"rewards/JointRewardFunction/std": 0.38994201249442995,
"step": 40,
"step_time": 20.12026042639991
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.225,
"completions/max_length": 472.2,
"completions/max_terminated_length": 427.6,
"completions/mean_length": 352.75,
"completions/mean_terminated_length": 313.9489349365234,
"completions/min_length": 201.0,
"completions/min_terminated_length": 201.0,
"entropy": 0.5324544316157699,
"epoch": 0.3333333333333333,
"frac_reward_zero_std": 0.25,
"grad_norm": 5.3125,
"kl": 0.13007921809330583,
"learning_rate": 6.9375e-06,
"loss": -0.03016577959060669,
"num_tokens": 192036.0,
"reward": 1.0732177734375,
"reward_std": 0.5164182722568512,
"rewards/JointRewardFunction/mean": 1.0732177734375,
"rewards/JointRewardFunction/std": 0.5164182841777801,
"step": 50,
"step_time": 21.588160099001833
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.225,
"completions/max_length": 495.4,
"completions/max_terminated_length": 461.4,
"completions/mean_length": 396.95,
"completions/mean_terminated_length": 363.4666687011719,
"completions/min_length": 224.4,
"completions/min_terminated_length": 224.4,
"entropy": 0.47121726758778093,
"epoch": 0.4,
"frac_reward_zero_std": 0.05,
"grad_norm": 2.46875,
"kl": 0.10462474231608213,
"learning_rate": 6.3125e-06,
"loss": -0.031146174669265746,
"num_tokens": 237192.0,
"reward": 1.193585205078125,
"reward_std": 0.5929911494255066,
"rewards/JointRewardFunction/mean": 1.193585205078125,
"rewards/JointRewardFunction/std": 0.592991155385971,
"step": 60,
"step_time": 22.437090325800817
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.275,
"completions/max_length": 497.6,
"completions/max_terminated_length": 455.6,
"completions/mean_length": 392.0375,
"completions/mean_terminated_length": 351.8452484130859,
"completions/min_length": 243.3,
"completions/min_terminated_length": 243.3,
"entropy": 0.4913482774049044,
"epoch": 0.4666666666666667,
"frac_reward_zero_std": 0.2,
"grad_norm": 4.21875,
"kl": 0.11023280541412532,
"learning_rate": 5.6875e-06,
"loss": -0.02786441147327423,
"num_tokens": 282351.0,
"reward": 1.166510009765625,
"reward_std": 0.5283917605876922,
"rewards/JointRewardFunction/mean": 1.166510009765625,
"rewards/JointRewardFunction/std": 0.528391769528389,
"step": 70,
"step_time": 22.72093682029881
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.3125,
"completions/max_length": 507.2,
"completions/max_terminated_length": 447.3,
"completions/mean_length": 409.9125,
"completions/mean_terminated_length": 365.60191040039064,
"completions/min_length": 248.5,
"completions/min_terminated_length": 248.5,
"entropy": 0.43941801562905314,
"epoch": 0.5333333333333333,
"frac_reward_zero_std": 0.2,
"grad_norm": 1.640625,
"kl": 0.12287256089039147,
"learning_rate": 5.0625e-06,
"loss": -0.024439637362957,
"num_tokens": 328816.0,
"reward": 1.467431640625,
"reward_std": 0.4256438536103815,
"rewards/JointRewardFunction/mean": 1.467431640625,
"rewards/JointRewardFunction/std": 0.42564386553131045,
"step": 80,
"step_time": 23.137156244499057
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.1875,
"completions/max_length": 486.2,
"completions/max_terminated_length": 463.3,
"completions/mean_length": 379.0625,
"completions/mean_terminated_length": 360.1238128662109,
"completions/min_length": 241.6,
"completions/min_terminated_length": 241.6,
"entropy": 0.3873957570642233,
"epoch": 0.6,
"frac_reward_zero_std": 0.35,
"grad_norm": 2.15625,
"kl": 0.12395602646283806,
"learning_rate": 4.4375e-06,
"loss": 0.0433960497379303,
"num_tokens": 373289.0,
"reward": 1.3514892578125,
"reward_std": 0.43082923418842256,
"rewards/JointRewardFunction/mean": 1.3514892578125,
"rewards/JointRewardFunction/std": 0.4308292371686548,
"step": 90,
"step_time": 22.175798371599377
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.1375,
"completions/max_length": 475.4,
"completions/max_terminated_length": 439.4,
"completions/mean_length": 344.5625,
"completions/mean_terminated_length": 319.0309600830078,
"completions/min_length": 209.0,
"completions/min_terminated_length": 209.0,
"entropy": 0.3818320112302899,
"epoch": 0.6666666666666666,
"frac_reward_zero_std": 0.15,
"grad_norm": 1.7265625,
"kl": 0.1494429545942694,
"learning_rate": 3.8125e-06,
"loss": -0.00486765056848526,
"num_tokens": 415738.0,
"reward": 1.4651611328125,
"reward_std": 0.453005512803793,
"rewards/JointRewardFunction/mean": 1.4651611328125,
"rewards/JointRewardFunction/std": 0.45300552546977996,
"step": 100,
"step_time": 21.99789129000128
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.125,
"completions/max_length": 500.8,
"completions/max_terminated_length": 454.0,
"completions/mean_length": 348.225,
"completions/mean_terminated_length": 326.1460815429688,
"completions/min_length": 184.0,
"completions/min_terminated_length": 184.0,
"entropy": 0.38654828127473595,
"epoch": 0.7333333333333333,
"frac_reward_zero_std": 0.25,
"grad_norm": 4.25,
"kl": 0.19588984637521206,
"learning_rate": 3.1875e-06,
"loss": -0.04184774756431579,
"num_tokens": 456544.0,
"reward": 1.449822998046875,
"reward_std": 0.40167671740055083,
"rewards/JointRewardFunction/mean": 1.449822998046875,
"rewards/JointRewardFunction/std": 0.40167671740055083,
"step": 110,
"step_time": 22.696052773901464
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.1875,
"completions/max_length": 474.8,
"completions/max_terminated_length": 426.7,
"completions/mean_length": 338.5375,
"completions/mean_terminated_length": 308.2898864746094,
"completions/min_length": 179.5,
"completions/min_terminated_length": 179.5,
"entropy": 0.42813673401251434,
"epoch": 0.8,
"frac_reward_zero_std": 0.15,
"grad_norm": 3.625,
"kl": 0.188834874285385,
"learning_rate": 2.5625e-06,
"loss": -0.022572511434555055,
"num_tokens": 495891.0,
"reward": 1.37578125,
"reward_std": 0.485464009642601,
"rewards/JointRewardFunction/mean": 1.37578125,
"rewards/JointRewardFunction/std": 0.4854640245437622,
"step": 120,
"step_time": 21.932242763400062
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.225,
"completions/max_length": 480.4,
"completions/max_terminated_length": 457.0,
"completions/mean_length": 353.0375,
"completions/mean_terminated_length": 309.4391723632813,
"completions/min_length": 93.9,
"completions/min_terminated_length": 93.9,
"entropy": 0.4207899322733283,
"epoch": 0.8666666666666667,
"frac_reward_zero_std": 0.15,
"grad_norm": 3.140625,
"kl": 0.19314469541423024,
"learning_rate": 1.9375e-06,
"loss": -0.10344405174255371,
"num_tokens": 538386.0,
"reward": 1.3167236328125,
"reward_std": 0.5021238774061203,
"rewards/JointRewardFunction/mean": 1.3167236328125,
"rewards/JointRewardFunction/std": 0.5021239161491394,
"step": 130,
"step_time": 22.154275490202053
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.1375,
"completions/max_length": 468.1,
"completions/max_terminated_length": 443.4,
"completions/mean_length": 351.3625,
"completions/mean_terminated_length": 333.25274353027345,
"completions/min_length": 215.1,
"completions/min_terminated_length": 215.1,
"entropy": 0.3897366087883711,
"epoch": 0.9333333333333333,
"frac_reward_zero_std": 0.4,
"grad_norm": 1.8828125,
"kl": 0.1783840640448034,
"learning_rate": 1.3125000000000001e-06,
"loss": -0.012397536635398864,
"num_tokens": 579127.0,
"reward": 1.5228759765625,
"reward_std": 0.3425671649631113,
"rewards/JointRewardFunction/mean": 1.5228759765625,
"rewards/JointRewardFunction/std": 0.3425671679433435,
"step": 140,
"step_time": 21.521125249801845
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.15,
"completions/max_length": 482.1,
"completions/max_terminated_length": 444.4,
"completions/mean_length": 354.5375,
"completions/mean_terminated_length": 328.6072692871094,
"completions/min_length": 207.4,
"completions/min_terminated_length": 207.4,
"entropy": 0.4106031972914934,
"epoch": 1.0,
"frac_reward_zero_std": 0.2,
"grad_norm": 1.703125,
"kl": 0.16290537370368838,
"learning_rate": 6.875000000000001e-07,
"loss": 0.014532069861888885,
"num_tokens": 619802.0,
"reward": 1.502001953125,
"reward_std": 0.44335485696792604,
"rewards/JointRewardFunction/mean": 1.502001953125,
"rewards/JointRewardFunction/std": 0.443354868888855,
"step": 150,
"step_time": 22.203639667498646
},
{
"clip_ratio/high_max": 0.0,
"clip_ratio/high_mean": 0.0,
"clip_ratio/low_mean": 0.0,
"clip_ratio/low_min": 0.0,
"clip_ratio/region_mean": 0.0,
"completions/clipped_ratio": 0.125,
"completions/max_length": 432.7,
"completions/max_terminated_length": 389.6,
"completions/mean_length": 310.0125,
"completions/mean_terminated_length": 283.19702911376953,
"completions/min_length": 129.3,
"completions/min_terminated_length": 129.3,
"entropy": 0.43815543316304684,
"epoch": 1.0666666666666667,
"frac_reward_zero_std": 0.2,
"grad_norm": 3.484375,
"kl": 0.21010836036875843,
"learning_rate": 6.250000000000001e-08,
"loss": -0.05822192430496216,
"num_tokens": 656519.0,
"reward": 1.34354248046875,
"reward_std": 0.5034710764884949,
"rewards/JointRewardFunction/mean": 1.34354248046875,
"rewards/JointRewardFunction/std": 0.503471103310585,
"step": 160,
"step_time": 20.17411774720167
}
],
"logging_steps": 10,
"max_steps": 160,
"num_input_tokens_seen": 656519,
"num_train_epochs": 2,
"save_steps": 10,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 0.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}

View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:425595137c947d190b8d7b621fa2afaf7a55b15db5aef2061b280d7894998eec
size 7249

3
model.safetensors Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:6753ac3d39840dcbcb8da23e74296953ddc011bb9abcf19b87e7c7e7bfb56447
size 6171927112

3
tokenizer.json Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
size 11421892

30
tokenizer_config.json Normal file
View File

@@ -0,0 +1,30 @@
{
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|im_start|>",
"<|im_end|>",
"<|object_ref_start|>",
"<|object_ref_end|>",
"<|box_start|>",
"<|box_end|>",
"<|quad_start|>",
"<|quad_end|>",
"<|vision_start|>",
"<|vision_end|>",
"<|vision_pad|>",
"<|image_pad|>",
"<|video_pad|>"
],
"is_local": false,
"local_files_only": false,
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}

3
training_args.bin Normal file
View File

@@ -0,0 +1,3 @@
version https://git-lfs.github.com/spec/v1
oid sha256:425595137c947d190b8d7b621fa2afaf7a55b15db5aef2061b280d7894998eec
size 7249