---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: Mixtral_Alpace_v2
  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_v2

This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1218

## 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: 5e-05
- train_batch_size: 2
- 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: 50

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.0253        | 0.1389 | 5    | 2.0089          |
| 1.94          | 0.2778 | 10   | 1.9158          |
| 1.8034        | 0.4167 | 15   | 1.7803          |
| 1.6579        | 0.5556 | 20   | 1.6171          |
| 1.5197        | 0.6944 | 25   | 1.4960          |
| 1.4063        | 0.8333 | 30   | 1.3825          |
| 1.3019        | 0.9722 | 35   | 1.2824          |
| 1.2145        | 1.1111 | 40   | 1.2010          |
| 1.1549        | 1.25   | 45   | 1.1446          |
| 1.1269        | 1.3889 | 50   | 1.1218          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1