---
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_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 the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7454

## 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: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9971        | 0.02  | 10   | 0.9638          |
| 0.9418        | 0.03  | 20   | 0.8981          |
| 0.8833        | 0.05  | 30   | 0.8468          |
| 0.8358        | 0.06  | 40   | 0.8169          |
| 0.7959        | 0.08  | 50   | 0.7940          |
| 0.7839        | 0.09  | 60   | 0.7762          |
| 0.7749        | 0.11  | 70   | 0.7630          |
| 0.7442        | 0.12  | 80   | 0.7535          |
| 0.7554        | 0.14  | 90   | 0.7476          |
| 0.749         | 0.16  | 100  | 0.7454          |


### Framework versions

- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2