Model save
Browse files- README.md +4 -6
- all_results.json +5 -5
- config.json +1 -1
- 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/Feb17_14-09-57_w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-6d4ql9c/events.out.tfevents.1739801633.w-jerom-inter-play-sim-94c6890b9ccf44ea86f033a3db8a5dbd-6d4ql9c.17212.0 +3 -0
- tokenizer.json +2 -2
- train_results.json +5 -5
- trainer_state.json +787 -787
- training_args.bin +1 -1
README.md
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---
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base_model: Sim4Rec/inter-play-sim-assistant-sft
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datasets:
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- Sim4Rec/dpo_data
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library_name: transformers
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model_name:
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tags:
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- generated_from_trainer
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- trl
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licence: license
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---
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# Model Card for
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This model is a fine-tuned version of [Sim4Rec/inter-play-sim-assistant-sft](https://huggingface.co/Sim4Rec/inter-play-sim-assistant-sft)
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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/jerome-ramos-20/huggingface/runs/
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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---
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base_model: Sim4Rec/inter-play-sim-assistant-sft
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library_name: transformers
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model_name: inter-play-sim-assistant-dpo
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tags:
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- generated_from_trainer
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- trl
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licence: license
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---
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# Model Card for inter-play-sim-assistant-dpo
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This model is a fine-tuned version of [Sim4Rec/inter-play-sim-assistant-sft](https://huggingface.co/Sim4Rec/inter-play-sim-assistant-sft).
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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/jerome-ramos-20/huggingface/runs/k9xn3f7n)
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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all_results.json
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