mt5-small-finetuned-test-class3

This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 2.2262
• Validation Loss: 1.8557
• Epoch: 7

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': 64112, '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
4.0384	2.3228	0
2.7913	2.1021	1
2.5264	1.9837	2
2.4013	1.9247	3
2.3268	1.8783	4
2.2781	1.8712	5
2.2462	1.8563	6
2.2262	1.8557	7

Framework versions

• Transformers 4.24.0
• TensorFlow 2.9.2
• Datasets 2.7.1
• Tokenizers 0.13.2