Model save
Browse files- README.md +68 -0
- all_results.json +8 -0
- config.json +33 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +0 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +249 -0
- train_results.json +8 -0
- trainer_state.json +1809 -0
- training_args.bin +3 -0
README.md
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---
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base_model: allenai/OLMoE-1B-7B-0125-Instruct
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library_name: transformers
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model_name: OLMoE-1B-7B-0125-Instruct-grpo
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tags:
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- generated_from_trainer
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- trl
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- grpo
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licence: license
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---
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# Model Card for OLMoE-1B-7B-0125-Instruct-grpo
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This model is a fine-tuned version of [allenai/OLMoE-1B-7B-0125-Instruct](https://huggingface.co/allenai/OLMoE-1B-7B-0125-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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?"
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generator = pipeline("text-generation", model="chenggong1995/OLMoE-1B-7B-0125-Instruct-grpo", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<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/gongc1995-city-university-of-hong-kong/huggingface/runs/papxj9zr)
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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).
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### Framework versions
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- TRL: 0.16.0.dev0
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- Transformers: 4.49.0.dev0
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- Pytorch: 2.5.1
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- Datasets: 3.2.0
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- Tokenizers: 0.21.0
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## Citations
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Cite GRPO as:
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```bibtex
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@article{zhihong2024deepseekmath,
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title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
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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},
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year = 2024,
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eprint = {arXiv:2402.03300},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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all_results.json
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{
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"total_flos": 0.0,
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"train_loss": 0.01271514138510042,
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"train_runtime": 147461.7668,
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"train_samples": 72441,
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"train_samples_per_second": 0.491,
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"train_steps_per_second": 0.004
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}
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config.json
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{
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"_name_or_path": "allenai/OLMoE-1B-7B-0125-Instruct",
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"architectures": [
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"OlmoeForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"clip_qkv": null,
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"eos_token_id": 50279,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"max_position_embeddings": 4096,
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"model_type": "olmoe",
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"norm_topk_prob": false,
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"num_attention_heads": 16,
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"num_experts": 64,
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"num_experts_per_tok": 8,
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"num_hidden_layers": 16,
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"num_key_value_heads": 16,
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"output_router_logits": false,
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"pad_token_id": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.01,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.49.0.dev0",
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"use_cache": false,
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"vocab_size": 50304
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}
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generation_config.json
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model-00001-of-00003.safetensors
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size 4997744872
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
192 |
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|
193 |
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|
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208 |
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|
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|
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|
221 |
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"50279": {
|
223 |
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224 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
237 |
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}
|
238 |
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},
|
239 |
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"bos_token": "|||IP_ADDRESS|||",
|
240 |
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"chat_template": "{{ bos_token }}{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|system|>\n' + message['content'] + '\n' }}{% elif message['role'] == 'user' %}{{ '<|user|>\n' + message['content'] + '\n' }}{% elif message['role'] == 'assistant' %}{% if not loop.last %}{{ '<|assistant|>\n' + message['content'] + eos_token + '\n' }}{% else %}{{ '<|assistant|>\n' + message['content'] + eos_token }}{% endif %}{% endif %}{% if loop.last and add_generation_prompt %}{{ '<|assistant|>\n' }}{% endif %}{% endfor %}",
|
241 |
+
"clean_up_tokenization_spaces": false,
|
242 |
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"eos_token": "|||IP_ADDRESS|||",
|
243 |
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"extra_special_tokens": {},
|
244 |
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"model_max_length": 1000000000000000019884624838656,
|
245 |
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"pad_token": "<pad>",
|
246 |
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"padding_side": "left",
|
247 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
248 |
+
"unk_token": null
|
249 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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1 |
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{
|
2 |
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"total_flos": 0.0,
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3 |
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"train_loss": 0.01271514138510042,
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4 |
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"train_runtime": 147461.7668,
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"train_samples": 72441,
|
6 |
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"train_samples_per_second": 0.491,
|
7 |
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"train_steps_per_second": 0.004
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1809 @@
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|
1792 |
+
"save_steps": 500,
|
1793 |
+
"stateful_callbacks": {
|
1794 |
+
"TrainerControl": {
|
1795 |
+
"args": {
|
1796 |
+
"should_epoch_stop": false,
|
1797 |
+
"should_evaluate": false,
|
1798 |
+
"should_log": false,
|
1799 |
+
"should_save": false,
|
1800 |
+
"should_training_stop": false
|
1801 |
+
},
|
1802 |
+
"attributes": {}
|
1803 |
+
}
|
1804 |
+
},
|
1805 |
+
"total_flos": 0.0,
|
1806 |
+
"train_batch_size": 5,
|
1807 |
+
"trial_name": null,
|
1808 |
+
"trial_params": null
|
1809 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bcb5bdda4f17eb1fd0d6349eced4d9ec471f751107ad5bf83f361ddac1e00393
|
3 |
+
size 7544
|