Model save
Browse files- README.md +58 -0
- all_results.json +8 -0
- generation_config.json +6 -0
- train_results.json +8 -0
- trainer_state.json +3739 -0
README.md
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---
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base_model: allenai/OLMo-2-1124-7B-Instruct
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library_name: transformers
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model_name: OLMo-2-1124-7B-Instruct_SFTv02.08_unfrozen_qk
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for OLMo-2-1124-7B-Instruct_SFTv02.08_unfrozen_qk
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This model is a fine-tuned version of [allenai/OLMo-2-1124-7B-Instruct](https://huggingface.co/allenai/OLMo-2-1124-7B-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="Neelectric/OLMo-2-1124-7B-Instruct_SFTv02.08_unfrozen_qk", 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/neelectric/open-r1_SFT/runs/6ak4f89w)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.17.0
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- Transformers: 4.51.3
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- Pytorch: 2.6.0
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- Datasets: 3.6.0
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- Tokenizers: 0.21.1
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## Citations
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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 Gallou{\'e}dec},
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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": 1.8506098969109594e+19,
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"train_loss": 0.4616105086875684,
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"train_runtime": 10028.6636,
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"train_samples": 69132,
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"train_samples_per_second": 20.68,
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"train_steps_per_second": 0.046
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}
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generation_config.json
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{
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"_from_model_config": true,
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"eos_token_id": 100257,
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"pad_token_id": 100277,
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"transformers_version": "4.51.3"
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}
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train_results.json
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{
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"total_flos": 1.8506098969109594e+19,
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"train_loss": 0.4616105086875684,
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"train_runtime": 10028.6636,
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"train_samples": 69132,
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"train_samples_per_second": 20.68,
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"train_steps_per_second": 0.046
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}
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trainer_state.json
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