iaryanraj/Helsinki-munna2-finetuned-translation-english-to-hindi

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on an unknown dataset. It achieves the following results on the evaluation set:

• Train Loss: 4.5786
• Validation Loss: 4.4384
• 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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, '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: float32

Training results

Train Loss	Validation Loss	Epoch
4.5787	4.4384	0
4.5768	4.4384	1
4.5786	4.4384	2
4.5786	4.4384	3
4.5771	4.4384	4
4.5773	4.4384	5
4.5769	4.4384	6
4.5786	4.4384	7
4.5779	4.4384	8
4.5786	4.4384	9

Framework versions

• Transformers 4.46.3
• TensorFlow 2.16.1
• Datasets 3.0.1
• Tokenizers 0.20.0