fil-bic-t5b

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

• Train Loss: 0.3537
• Validation Loss: 1.2117
• Epoch: 9

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': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
1.8355	1.3386	0
1.2304	1.1693	1
1.0055	1.0725	2
0.8533	1.0350	3
0.7349	1.0468	4
0.6450	1.0678	5
0.5478	1.0682	6
0.4728	1.0854	7
0.4072	1.1572	8
0.3537	1.2117	9

Framework versions

• Transformers 4.37.2
• TensorFlow 2.15.0
• Datasets 2.17.0
• Tokenizers 0.15.2