---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
model-index:
- name: Mistral-Alpaca-Finetuned
  results: []
datasets:
- tatsu-lab/alpaca
pipeline_tag: question-answering
---

<!-- 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. -->

# Mistral-Alpaca-Finetuned

This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.1-GPTQ](https://huggingface.co./TheBloke/Mistral-7B-Instruct-v0.1-GPTQ) on the tatsu-lab/alpaca dataset.

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

global_step	training_loss train_runtime	train_samples_per_second train_steps_per_second	  total_flos    train_loss epoch
|:--------:|:-----------:|:-----------:|:----------------------:|:--------------------:|:------------:|:---------:|:---:|
|   1250   |   1.26014   |  4003.3845  |         2.498          |        0.312         | 1.597509e+15 |  1.26014  | 1.0 |


### Framework versions

- PEFT 0.10.0
- Transformers 4.41.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1