Improve model card: Add pipeline tag, link to paper and code
#1
by
nielsr HF Staff - opened
README.md
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---
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library_name: transformers
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license: apache-2.0
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- siqi00/mistral_ultrafeedback_unhelpful_chatprompt_0.7_1.0_50_320
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model-index:
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- name: mistral-feedbuhcp2-dft-lr2e-6-tau0.3-u_init0-s2-e2-gamma0.90-rf
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results: []
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the siqi00/mistral_ultrafeedback_unhelpful_chatprompt_0.7_1.0_50_320 dataset.
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.45.2
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- Pytorch 2.1.2+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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---
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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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- siqi00/mistral_ultrafeedback_unhelpful_chatprompt_0.7_1.0_50_320
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library_name: transformers
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license: apache-2.0
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pipeline_tag: text-generation
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tags:
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- alignment-handbook
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- generated_from_trainer
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model-index:
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- name: mistral-feedbuhcp2-dft-lr2e-6-tau0.3-u_init0-s2-e2-gamma0.90-rf
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results: []
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the siqi00/mistral_ultrafeedback_unhelpful_chatprompt_0.7_1.0_50_320 dataset.
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This model was trained using Discriminative Fine-tuning (DFT), as described in the paper [Discriminative Finetuning of Generative Large Language Models without Reward Models and Preference Data](https://arxiv.org/abs/2502.18679). The code is available at [PenGuln/DFT](https://github.com/PenGuln/DFT).
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### Training hyperparameters
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The following hyperparameters were used during training:
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- Transformers 4.45.2
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- Pytorch 2.1.2+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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