---
base_model: mistralai/Mistral-7B-v0.1
library_name: peft
license: apache-2.0
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistral_dpo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mistral_dpo

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6891
- Rewards/chosen: 0.0621
- Rewards/rejected: 0.0538
- Rewards/accuracies: 0.6213
- Rewards/margins: 0.0083
- Logps/rejected: -52.0979
- Logps/chosen: -55.7624
- Logits/rejected: -0.2991
- Logits/chosen: -0.3269

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 20
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6929        | 0.0882 | 20   | 0.6923          | 0.0239         | 0.0221           | 0.6109             | 0.0018          | -52.4151       | -56.1451     | -0.2993         | -0.3271       |
| 0.6919        | 0.1763 | 40   | 0.6908          | 0.0490         | 0.0443           | 0.6187             | 0.0047          | -52.1927       | -55.8934     | -0.2991         | -0.3268       |
| 0.6903        | 0.2645 | 60   | 0.6898          | 0.0587         | 0.0518           | 0.6157             | 0.0068          | -52.1173       | -55.7971     | -0.2991         | -0.3269       |
| 0.6899        | 0.3526 | 80   | 0.6892          | 0.0595         | 0.0515           | 0.6135             | 0.0081          | -52.1210       | -55.7885     | -0.2991         | -0.3269       |
| 0.6898        | 0.4408 | 100  | 0.6891          | 0.0621         | 0.0538           | 0.6213             | 0.0083          | -52.0979       | -55.7624     | -0.2991         | -0.3269       |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1