---
base_model: mistralai/Mixtral-8x7B-v0.1
library_name: peft
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: Mixtral_Alpace_v3
  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_Alpace_v3

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8517

## 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: 16
- 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: 3
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1536        | 0.03  | 10   | 1.1278          |
| 1.0733        | 0.07  | 20   | 1.0587          |
| 1.0201        | 0.1   | 30   | 0.9941          |
| 0.9622        | 0.13  | 40   | 0.9509          |
| 0.9268        | 0.16  | 50   | 0.9188          |
| 0.8984        | 0.2   | 60   | 0.8944          |
| 0.9067        | 0.23  | 70   | 0.8756          |
| 0.8712        | 0.26  | 80   | 0.8622          |
| 0.8485        | 0.3   | 90   | 0.8544          |
| 0.8703        | 0.33  | 100  | 0.8517          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.36.0
- Pytorch 2.2.2+cu121
- Datasets 2.20.0
- Tokenizers 0.15.2