transformers-qa

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: 2.3199
• Validation Loss: 3.2826
• Train Rougel: tf.Tensor(0.3922559, 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
2.3199	3.2826	tf.Tensor(0.3922559, shape=(), dtype=float32)	0

Framework versions

• Transformers 4.24.0
• TensorFlow 2.9.2
• Datasets 2.8.0
• Tokenizers 0.13.2