tensorboard safetensors generated_from_trainer dataset:imdb base_model:mistralai/Mistral-7B-v0.1 license:apache-2.0 region:us
---
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: 7.4068
- Accuracy: {'accuracy': 0.9338}

## 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: 0.01
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy             |
|:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
| 57.25         | 1.0   | 5000  | 9.4656          | {'accuracy': 0.9292} |
| 0.0           | 2.0   | 10000 | 8.0567          | {'accuracy': 0.9384} |
| 0.0           | 3.0   | 15000 | 7.4068          | {'accuracy': 0.9338} |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.4.0
- Tokenizers 0.15.0
