---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-v0.1
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: 0.7630

## 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: 10
- 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
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9965        | 0.01  | 10   | 0.9608          |
| 0.9611        | 0.02  | 20   | 0.9045          |
| 0.8601        | 0.02  | 30   | 0.8574          |
| 0.8382        | 0.03  | 40   | 0.8280          |
| 0.8326        | 0.04  | 50   | 0.8072          |
| 0.7815        | 0.05  | 60   | 0.7904          |
| 0.796         | 0.06  | 70   | 0.7786          |
| 0.7668        | 0.07  | 80   | 0.7701          |
| 0.7774        | 0.07  | 90   | 0.7648          |
| 0.7699        | 0.08  | 100  | 0.7630          |


### Framework versions

- PEFT 0.9.1.dev0
- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2