pavithra-devi/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: 19.3166
• Validation Loss: 18.4308
• 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 96, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_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
22.5768	19.8329	0
21.6900	19.0180	1
21.0482	18.3382	2
20.1535	18.1752	3
19.1351	18.1943	4
20.5168	18.4165	5
18.1836	18.2371	6
19.3166	18.4308	7

Framework versions

• Transformers 4.41.1
• TensorFlow 2.13.1
• Datasets 2.19.1
• Tokenizers 0.19.1