juancopi81/tutorial-model-bert-base-spanish-uncased-movie-rating

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tmp9770t4k0

This model is a fine-tuned version of nlptown/bert-base-multilingual-uncased-sentiment on an muchocine dataset. It achieves the following results on the evaluation set:

• —Train Loss: 0.6629
• —Train Accuracy: 0.7345
• —Validation Loss: 1.4827
• —Validation Accuracy: 0.5
• —Epoch: 2

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:

• —optimizer: {'name': 'Adam', 'learningrate': {'classname': 'PolynomialDecay', 'config': {'initiallearningrate': 5e-05, 'decaysteps': 1305, 'endlearningrate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• —training_precision: float32

Training results

Framework versions

• —Transformers 4.17.0
• —TensorFlow 2.8.0
• —Datasets 1.18.4
• —Tokenizers 0.11.6