bic-fil-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: 0.4037
• Validation Loss: 1.3410
• 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
1.9850	1.4928	0
1.3620	1.2710	1
1.1209	1.1860	2
0.9608	1.1466	3
0.8282	1.1467	4
0.7189	1.1613	5
0.6254	1.2177	6
0.5432	1.2522	7
0.4676	1.2758	8
0.4037	1.3410	9

Framework versions

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