---
license: apache-2.0
base_model: mistralai/Mistral-7B-v0.1
tags:
- generated_from_trainer
datasets:
- imdb
metrics:
- accuracy
model-index:
- name: Mistral-7B-v0.1-lora-text-classification
  results: []
---

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# Mistral-7B-v0.1-lora-text-classification

This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the imdb dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0108
- Accuracy: {'accuracy': 0.52024}

## 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: 0.005
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- 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 | Accuracy              |
|:-------------:|:-----:|:-----:|:---------------:|:---------------------:|
| 1.0658        | 1.0   | 12500 | 1.0108          | {'accuracy': 0.52024} |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0