MUmairAB/mt5-small-finetuned-en-and-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: 3.8111
• Validation Loss: 3.3450
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 12090, '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: float32

Training results

Train Loss	Validation Loss	Epoch
9.8080	4.2830	0
5.9101	3.8003	1
5.1453	3.6062	2
4.7005	3.5052	3
4.4095	3.4904	4
4.2204	3.3996	5
4.0501	3.3842	6
3.9260	3.3963	7
3.8527	3.3267	8
3.8111	3.3450	9

Framework versions

• Transformers 4.31.0
• TensorFlow 2.12.0
• Datasets 2.14.0
• Tokenizers 0.13.3