---
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: 0.7382

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2053        | 1.0   | 18   | 1.6050          |
| 1.685         | 2.0   | 36   | 1.4131          |
| 1.4913        | 3.0   | 54   | 1.2708          |
| 1.3079        | 4.0   | 72   | 1.1353          |
| 1.1686        | 5.0   | 90   | 1.0360          |
| 1.1356        | 6.0   | 108  | 0.9803          |
| 1.053         | 7.0   | 126  | 0.9382          |
| 0.9968        | 8.0   | 144  | 0.8994          |
| 0.947         | 9.0   | 162  | 0.8616          |
| 0.8981        | 10.0  | 180  | 0.8244          |
| 0.8726        | 11.0  | 198  | 0.7891          |
| 0.8211        | 12.0  | 216  | 0.7727          |
| 0.8126        | 13.0  | 234  | 0.7645          |
| 0.7889        | 14.0  | 252  | 0.7591          |
| 0.7837        | 15.0  | 270  | 0.7547          |
| 0.7792        | 16.0  | 288  | 0.7510          |
| 0.7507        | 17.0  | 306  | 0.7481          |
| 0.7483        | 18.0  | 324  | 0.7458          |
| 0.7429        | 19.0  | 342  | 0.7432          |
| 0.7362        | 20.0  | 360  | 0.7417          |
| 0.7495        | 21.0  | 378  | 0.7406          |
| 0.748         | 22.0  | 396  | 0.7397          |
| 0.7429        | 23.0  | 414  | 0.7388          |
| 0.7444        | 24.0  | 432  | 0.7384          |
| 0.7334        | 25.0  | 450  | 0.7382          |


### Framework versions

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