DoubelT/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: 0.0032
• Validation Loss: 0.0002
• 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': 89496, '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
1.3246	0.1471	0
0.0799	0.0075	1
0.0190	0.0004	2
0.0094	0.0004	3
0.0060	0.0003	4
0.0045	0.0003	5
0.0036	0.0002	6
0.0032	0.0002	7

Framework versions

• Transformers 4.40.1
• TensorFlow 2.16.1
• Datasets 2.19.0
• Tokenizers 0.19.1