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Model save

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  1. README.md +4 -5
  2. adapter_model.safetensors +1 -1
README.md CHANGED
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  ---
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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) on the [trl-lib/Capybara](https://huggingface.co/datasets/trl-lib/Capybara) dataset.
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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/42eivuku)
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  This model was trained with SFT.
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  ### Framework versions
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- - TRL: 0.13.0
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- - Transformers: 4.48.1
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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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