---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: mistralai/Mixtral-8x7B-Instruct-v0.1
model-index:
- name: Mixtral_R2_v0
  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. -->

# Mixtral_R2_v0

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7671

## 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: 2.5e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0101        | 1.0   | 18   | 2.1741          |
| 2.1612        | 2.0   | 36   | 1.5962          |
| 1.6591        | 3.0   | 54   | 1.4202          |
| 1.4985        | 4.0   | 72   | 1.3035          |
| 1.3585        | 5.0   | 90   | 1.1977          |
| 1.294         | 6.0   | 108  | 1.0993          |
| 1.1823        | 7.0   | 126  | 1.0139          |
| 1.0983        | 8.0   | 144  | 0.9641          |
| 1.0371        | 9.0   | 162  | 0.9293          |
| 0.9868        | 10.0  | 180  | 0.8961          |
| 0.9535        | 11.0  | 198  | 0.8655          |
| 0.9259        | 12.0  | 216  | 0.8358          |
| 0.882         | 13.0  | 234  | 0.8067          |
| 0.8472        | 14.0  | 252  | 0.7938          |
| 0.8484        | 15.0  | 270  | 0.7872          |
| 0.8215        | 16.0  | 288  | 0.7826          |
| 0.8167        | 17.0  | 306  | 0.7779          |
| 0.8199        | 18.0  | 324  | 0.7751          |
| 0.8042        | 19.0  | 342  | 0.7730          |
| 0.8186        | 20.0  | 360  | 0.7710          |
| 0.794         | 21.0  | 378  | 0.7698          |
| 0.7958        | 22.0  | 396  | 0.7685          |
| 0.7858        | 23.0  | 414  | 0.7677          |
| 0.7857        | 24.0  | 432  | 0.7671          |
| 0.7843        | 25.0  | 450  | 0.7671          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0