---
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_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-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: 1.4981

## 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
- training_steps: 200

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9673        | 0.83  | 10   | 3.6269          |
| 3.4669        | 1.67  | 20   | 3.0746          |
| 2.9203        | 2.5   | 30   | 2.5429          |
| 2.4531        | 3.33  | 40   | 2.2297          |
| 2.2242        | 4.17  | 50   | 2.1009          |
| 2.1178        | 5.0   | 60   | 2.0032          |
| 2.0242        | 5.83  | 70   | 1.9231          |
| 1.9462        | 6.67  | 80   | 1.8525          |
| 1.8682        | 7.5   | 90   | 1.7921          |
| 1.8218        | 8.33  | 100  | 1.7383          |
| 1.754         | 9.17  | 110  | 1.6900          |
| 1.7197        | 10.0  | 120  | 1.6468          |
| 1.672         | 10.83 | 130  | 1.6101          |
| 1.6248        | 11.67 | 140  | 1.5791          |
| 1.5936        | 12.5  | 150  | 1.5526          |
| 1.581         | 13.33 | 160  | 1.5324          |
| 1.5688        | 14.17 | 170  | 1.5168          |
| 1.5307        | 15.0  | 180  | 1.5066          |
| 1.532         | 15.83 | 190  | 1.5001          |
| 1.5254        | 16.67 | 200  | 1.4981          |


### Framework versions

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