christineyu commited on
Commit
ee34266
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1 Parent(s): dcfcb9c

Model save

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Files changed (4) hide show
  1. README.md +4 -6
  2. all_results.json +3 -8
  3. train_results.json +3 -3
  4. trainer_state.json +54 -54
README.md CHANGED
@@ -1,19 +1,17 @@
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  ---
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
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- datasets: sum-pref-overfit
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  library_name: transformers
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- model_name: sum-pref-overfit-v1-modelcard
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  tags:
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  - generated_from_trainer
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- - alignment-handbook
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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 sum-pref-overfit-v1-modelcard
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- This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the [sum-pref-overfit](https://huggingface.co/datasets/sum-pref-overfit) dataset.
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  It has been trained using [TRL](https://github.com/huggingface/trl).
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  ## Quick start
@@ -29,7 +27,7 @@ print(output["generated_text"])
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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/myexp/huggingface/runs/um8lg7vg)
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  This model was trained with SFT.
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  ---
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
 
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  library_name: transformers
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+ model_name: prometheus-7b-v1.5-beta-1-0109-sum-pref-overfit-v3-flash
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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 prometheus-7b-v1.5-beta-1-0109-sum-pref-overfit-v3-flash
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2).
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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/myexp/huggingface/runs/ttoprqy7)
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  This model was trained with SFT.
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  "train_steps_per_second": 0.236
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  }
 
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  "attributes": {}
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  }
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+ "total_flos": 2.542777053216768e+16,
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  "trial_params": null