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

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9139

## 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: 0.0002
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2.2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1966        | 0.07  | 20   | 1.1074          |
| 1.0281        | 0.14  | 40   | 1.0284          |
| 0.9837        | 0.21  | 60   | 0.9990          |
| 0.992         | 0.28  | 80   | 0.9808          |
| 0.9642        | 0.35  | 100  | 0.9685          |
| 0.9706        | 0.42  | 120  | 0.9591          |
| 0.9355        | 0.5   | 140  | 0.9523          |
| 0.9253        | 0.57  | 160  | 0.9468          |
| 0.9125        | 0.64  | 180  | 0.9412          |
| 0.9232        | 0.71  | 200  | 0.9363          |
| 0.9183        | 0.78  | 220  | 0.9320          |
| 0.9175        | 0.85  | 240  | 0.9284          |
| 0.9219        | 0.92  | 260  | 0.9253          |
| 0.9028        | 0.99  | 280  | 0.9228          |
| 0.8405        | 1.06  | 300  | 0.9251          |
| 0.8429        | 1.13  | 320  | 0.9238          |
| 0.8453        | 1.2   | 340  | 0.9231          |
| 0.8722        | 1.27  | 360  | 0.9214          |
| 0.8511        | 1.35  | 380  | 0.9200          |
| 0.8471        | 1.42  | 400  | 0.9186          |
| 0.8376        | 1.49  | 420  | 0.9171          |
| 0.8372        | 1.56  | 440  | 0.9160          |
| 0.8517        | 1.63  | 460  | 0.9155          |
| 0.8244        | 1.7   | 480  | 0.9147          |
| 0.8432        | 1.77  | 500  | 0.9140          |
| 0.8519        | 1.84  | 520  | 0.9135          |
| 0.8128        | 1.91  | 540  | 0.9135          |
| 0.8296        | 1.98  | 560  | 0.9134          |
| 0.7848        | 2.05  | 580  | 0.9138          |
| 0.8166        | 2.12  | 600  | 0.9139          |
| 0.7963        | 2.2   | 620  | 0.9139          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0