metadata
license: mit
base_model: xlnet-base-cased
tags:
- classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: clasificador-rotten-tomatoes-xlnet-base-cased
results: []
clasificador-rotten-tomatoes-xlnet-base-cased
This model is a fine-tuned version of 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