---
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-rottentomatoes
  results: []
---

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

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0103
- Accuracy: 0.4783

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6937        | 1.0   | 853  | 0.8311          | 0.0      |
| 0.6578        | 2.0   | 1706 | 0.7352          | 0.6190   |
| 0.5328        | 3.0   | 2559 | 1.0103          | 0.4783   |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2