---
base_model: victor/autonlp-imdb-reviews-sentiment-329982
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-imdb
  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. -->

# clasificador-imdb

This model is a fine-tuned version of [victor/autonlp-imdb-reviews-sentiment-329982](https://huggingface.co./victor/autonlp-imdb-reviews-sentiment-329982) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4535
- Accuracy: 0.9158

## 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: 5e-05
- 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: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.2925        | 1.0   | 2500 | 0.2382          | 0.921    |
| 0.2203        | 2.0   | 5000 | 0.2991          | 0.9376   |
| 0.0964        | 3.0   | 7500 | 0.4535          | 0.9158   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0