peft safetensors generated_from_trainer base_model:mistralai/Mixtral-8x7B-v0.1 license:apache-2.0 region:us
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mixtral-8x7B-v0.1
model-index:
- name: mixtral_recuperar_el_tokenizer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mixtral_recuperar_el_tokenizer

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: 1.6342

## 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 8
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5347        | 0.12  | 100  | 1.6561          |
| 1.3318        | 0.24  | 200  | 1.6472          |
| 1.5706        | 0.37  | 300  | 1.6435          |
| 1.6442        | 0.49  | 400  | 1.6405          |
| 1.6473        | 0.61  | 500  | 1.6367          |
| 1.5836        | 0.73  | 600  | 1.6358          |
| 1.4242        | 0.86  | 700  | 1.6348          |
| 1.3638        | 0.98  | 800  | 1.6342          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.0
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0