AmaanDhamaskar/mt5-small-marathi_test_newcode

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: 4.9265
• Validation Loss: 2.9782
• 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': 1664, '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
10.7465	4.3688	0
6.8139	3.4018	1
5.9290	3.1843	2
5.5236	3.0905	3
5.2406	3.0334	4
5.0940	3.0005	5
4.9912	2.9840	6
4.9265	2.9782	7

Framework versions

• Transformers 4.48.3
• TensorFlow 2.18.0
• Datasets 3.4.0
• Tokenizers 0.21.0