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README.md
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datasets: trl-lib/Capybara
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library_name: transformers
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model_name: pythia-70m-SFT
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tags:
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# Model Card for pythia-70m-SFT
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This model is a fine-tuned version of [None](https://huggingface.co/None)
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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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## 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/ivan-eudokimoff2014-skolkovo-institute/huggingface/runs/
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.
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- Transformers: 4.48.
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- Pytorch: 2.4.0+cu121
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- Datasets: 3.2.0
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- Tokenizers: 0.21.0
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---
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library_name: transformers
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model_name: pythia-70m-SFT
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tags:
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# Model Card for pythia-70m-SFT
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This model is a fine-tuned version of [None](https://huggingface.co/None).
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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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## 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/ivan-eudokimoff2014-skolkovo-institute/huggingface/runs/qmyab9b0)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.14.0
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- Transformers: 4.48.2
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- Pytorch: 2.4.0+cu121
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- Datasets: 3.2.0
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- Tokenizers: 0.21.0
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adapter_model.safetensors
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