---
base_model: mistralai/Mistral-7B-v0.1
datasets:
- siqi00/mistral_ultrafeedback_unhelpful_chatprompt_0.7_1.0_50_320
library_name: transformers
license: apache-2.0
pipeline_tag: text-generation
tags:
- alignment-handbook
- generated_from_trainer
model-index:
- name: mistral-feedbuhcp2-dft-lr2e-6-tau0.3-u_init0-s2-e2-gamma0.90-rf
  results: []
---

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# Mistral-7B-DFT2

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.

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).


### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-06
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Framework versions

- Transformers 4.45.2
- Pytorch 2.1.2+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1