clasificador-reviews-amazon

This model is a fine-tuned version of bert-base-uncased on the amazon_polarity dataset. It achieves the following results on the evaluation set:

• Loss: 0.4642
• Accuracy: 0.926

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

Los conjuntos de train y de test se han reducido respecto al dataset original amazon_polarity para mantener unos tiempos de ejecución relativamente cortos.

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
0.3674	1.0	625	0.2204	0.928
0.1924	2.0	1250	0.3444	0.926
0.0974	3.0	1875	0.4642	0.926

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3