---
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_0.1_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_0.1_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: 0.6226
- Rewards/chosen: -1.1689
- Rewards/rejected: -1.4764
- Rewards/accuracies: 0.5912
- Rewards/margins: 0.3075
- Logps/rejected: -43.3368
- Logps/chosen: -35.0753
- Logits/rejected: -2.8107
- Logits/chosen: -2.8112

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.6877        | 0.1   | 50   | 0.6853          | -0.0549        | -0.0714          | 0.5846             | 0.0165          | -29.2866       | -23.9352     | -2.8632         | -2.8635       |
| 0.6422        | 0.2   | 100  | 0.6445          | -0.6597        | -0.8190          | 0.5758             | 0.1593          | -36.7627       | -29.9831     | -2.8277         | -2.8281       |
| 0.5398        | 0.29  | 150  | 0.6295          | -1.2391        | -1.5382          | 0.5978             | 0.2990          | -43.9541       | -35.7771     | -2.8089         | -2.8094       |
| 0.5742        | 0.39  | 200  | 0.6233          | -1.1703        | -1.4764          | 0.5934             | 0.3061          | -43.3366       | -35.0892     | -2.8107         | -2.8112       |
| 0.6425        | 0.49  | 250  | 0.6226          | -1.1689        | -1.4764          | 0.5912             | 0.3075          | -43.3368       | -35.0753     | -2.8107         | -2.8112       |


### Framework versions

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