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transformers-abhi

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: 2.9227
  • Validation Loss: 2.5929
  • Train Rougel: tf.Tensor(0.19853836, shape=(), dtype=float32)
  • Epoch: 0

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', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Train Rougel Epoch
2.9227 2.5929 tf.Tensor(0.19853836, shape=(), dtype=float32) 0

Framework versions

  • Transformers 4.20.0
  • TensorFlow 2.9.2
  • Datasets 2.8.0
  • Tokenizers 0.12.1
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