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alk/t5-small-finetuned-cnn_dailymail-en-es

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 1.9163
  • Validation Loss: 1.7610
  • Epoch: 3

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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 71776, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
1.9945 1.7837 0
1.9478 1.7694 1
1.9278 1.7646 2
1.9163 1.7610 3

Framework versions

  • Transformers 4.19.0
  • TensorFlow 2.8.0
  • Datasets 2.2.1
  • Tokenizers 0.12.1
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Evaluation results