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clasificador-amazonproducts

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-uncased on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2425
  • Accuracy: 0.5775

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
0.7097 1.0 658 1.1479 0.5704
0.4787 2.0 1316 1.2425 0.5775
0.3708 3.0 1974 1.2425 0.5775

Framework versions

  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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Dataset used to train bhpardo/clasificador-amazonproducts

Evaluation results