Training in progress, epoch 0
Browse files- README.md +58 -0
- all_results.json +8 -0
- generation_config.json +9 -0
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- runs/Feb26_07-34-45_na-clops-debugging-pipeline-s6tg6-049f-0/events.out.tfevents.1740555364.na-clops-debugging-pipeline-s6tg6-049f-0 +2 -2
- runs/Feb26_10-38-13_na-clops-debugging-pipeline-s6tg6-049f-0/events.out.tfevents.1740566317.na-clops-debugging-pipeline-s6tg6-049f-0 +3 -0
- runs/Feb26_10-47-03_na-clops-debugging-pipeline-s6tg6-049f-0/events.out.tfevents.1740566847.na-clops-debugging-pipeline-s6tg6-049f-0 +3 -0
- train_results.json +8 -0
- training_args.bin +1 -1
README.md
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---
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base_model: Qwen/Qwen2.5-Math-7B-Instruct
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library_name: transformers
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model_name: Q25-M-7B-IT-KoLIMO-5ep
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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 Q25-M-7B-IT-KoLIMO-5ep
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This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Math-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="nlee-208/Q25-M-7B-IT-KoLIMO-5ep", 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/nlee28/reasoning/runs/in98mfdt)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.15.2
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- Transformers: 4.49.0
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- Pytorch: 2.5.1
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- Datasets: 3.3.2
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- Tokenizers: 0.21.0
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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 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": 1.182462262019883e+18,
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"train_loss": 1.8812798500061034,
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"train_runtime": 8393.8652,
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"train_samples": 817,
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"train_samples_per_second": 0.487,
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"train_steps_per_second": 0.007
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"eos_token_id": [
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151645,
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151643
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],
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"pad_token_id": 151643,
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"transformers_version": "4.49.0"
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}
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model-00001-of-00004.safetensors
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train_results.json
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{
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"total_flos": 1.182462262019883e+18,
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"train_loss": 1.8812798500061034,
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"train_runtime": 8393.8652,
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"train_samples": 817,
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"train_samples_per_second": 0.487,
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"train_steps_per_second": 0.007
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}
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