---
license: apache-2.0
base_model: Minbyul/mistral-7b-wo-medication_qa-sft
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- HuggingFaceH4/ultrafeedback_binarized
model-index:
- name: mistral-7b-dpo-full-sft-wo-medication_qa
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mistral-7b-dpo-full-sft-wo-medication_qa

This model is a fine-tuned version of [Minbyul/mistral-7b-wo-medication_qa-sft](https://huggingface.co/Minbyul/mistral-7b-wo-medication_qa-sft) on the HuggingFaceH4/ultrafeedback_binarized dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0756
- Rewards/chosen: -3.7115
- Rewards/rejected: -11.1989
- Rewards/accuracies: 0.9531
- Rewards/margins: 7.4875
- Logps/rejected: -1662.8185
- Logps/chosen: -803.2770
- Logits/rejected: -2.3910
- Logits/chosen: -2.5860

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- 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: 1

### Training results

| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.2799        | 0.31  | 100  | -3.0348       | -3.0868         | -584.1479    | -794.0103      | 0.5261          | 0.75               | -1.5202        | 0.9907          | -2.5108          |
| 0.154         | 0.62  | 200  | -2.6948       | -2.5547         | -742.1359    | -1446.8754     | 0.0923          | 0.9375             | -3.1001        | 5.9394          | -9.0395          |
| 0.0948        | 0.92  | 300  | -2.5877       | -2.3930         | -803.1033    | -1661.4266     | 0.0753          | 0.9531             | -3.7097        | 7.4753          | -11.1850         |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2