xander71988/t5-base-finetuned-facet-driver-type

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

• Train Loss: 0.0016
• Validation Loss: 0.0054
• Epoch: 4

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': 64768, '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: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
0.0178	0.0076	0
0.0068	0.0057	1
0.0042	0.0055	2
0.0025	0.0044	3
0.0016	0.0054	4

Framework versions

• Transformers 4.26.0
• TensorFlow 2.11.0
• Datasets 2.9.0
• Tokenizers 0.13.2