vladjr/mt5-base-mt5-full

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

• Train Loss: 1.1101
• Validation Loss: 0.9831
• 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': 9280, '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
6.7607	1.6963	0
2.6675	1.4045	1
1.8063	1.2591	2
1.5864	1.0469	3
1.2627	1.0222	4
1.1802	1.0123	5
1.1343	0.9810	6
1.1101	0.9831	7

Framework versions

• Transformers 4.34.1
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.14.1