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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
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Dataset used to train jusancp99/clasificador-reviews-amazon

Evaluation results