ps209497/mt5-small-finetuned-amazon-en-es

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: 3.4488
• Validation Loss: 3.1489
• Epoch: 6

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': 17608, '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
7.9634	3.7626	0
4.9663	3.4392	1
4.3167	3.2989	2
3.9338	3.2372	3
3.6973	3.1875	4
3.5428	3.1721	5
3.4488	3.1489	6

Framework versions

• Transformers 4.28.0
• TensorFlow 2.12.0
• Datasets 2.11.0
• Tokenizers 0.13.2