---
license: mit
base_model: xlnet-base-cased
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-rotten-tomatoes-xlnet-base-cased
  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-rotten-tomatoes-xlnet-base-cased

This model is a fine-tuned version of [xlnet-base-cased](https://huggingface.co./xlnet-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6574
- Accuracy: 0.8752

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4213        | 1.0   | 1067 | 0.4125          | 0.8630   |
| 0.3096        | 2.0   | 2134 | 0.6457          | 0.8687   |
| 0.156         | 3.0   | 3201 | 0.6574          | 0.8752   |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1