---
license: apache-2.0
base_model: mistralai/Mistral-7B-Instruct-v0.2
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mistralit2_250_STEPS_1e7_rate_03_beta_DPO
  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. -->

# mistralit2_250_STEPS_1e7_rate_03_beta_DPO

This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co./mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6110
- Rewards/chosen: -1.2720
- Rewards/rejected: -1.7206
- Rewards/accuracies: 0.6066
- Rewards/margins: 0.4486
- Logps/rejected: -34.3078
- Logps/chosen: -27.6260
- Logits/rejected: -2.8431
- Logits/chosen: -2.8435

## 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: 1e-07
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 250

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6777        | 0.1   | 50   | 0.6740          | -0.1496        | -0.1942          | 0.5824             | 0.0446          | -29.2197       | -23.8845     | -2.8632         | -2.8635       |
| 0.6077        | 0.2   | 100  | 0.6364          | -1.2703        | -1.6253          | 0.5846             | 0.3550          | -33.9902       | -27.6202     | -2.8384         | -2.8387       |
| 0.4954        | 0.29  | 150  | 0.6401          | -1.8310        | -2.3459          | 0.5890             | 0.5149          | -36.3920       | -29.4892     | -2.8362         | -2.8366       |
| 0.5666        | 0.39  | 200  | 0.6112          | -1.2659        | -1.7103          | 0.6132             | 0.4444          | -34.2733       | -27.6055     | -2.8434         | -2.8438       |
| 0.6352        | 0.49  | 250  | 0.6110          | -1.2720        | -1.7206          | 0.6066             | 0.4486          | -34.3078       | -27.6260     | -2.8431         | -2.8435       |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2