Najia/t5-base-finetuned-urdu

This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 0.0701
• Validation Loss: 0.0538
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 3000, '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: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
0.1270	0.1669	0
0.0896	0.0654	1
0.0829	0.0598	2
0.0781	0.0511	3
0.0749	0.0534	4
0.0733	0.0533	5
0.0711	0.0515	6
0.0701	0.0538	7

Framework versions

• Transformers 4.29.0
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.3