rashid996958/machine-tranlation-model

rashid996958/Helsinki-shirsh-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: 4.5681
• Train Accuracy: 0.0591
• Validation Loss: 4.3657
• Validation Accuracy: 0.0616
• 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	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
4.5704	0.0591	4.3657	0.0616	0
4.5693	0.0591	4.3657	0.0616	1
4.5656	0.0591	4.3657	0.0616	2
4.5684	0.0591	4.3657	0.0616	3
4.5659	0.0591	4.3657	0.0616	4
4.5656	0.0591	4.3657	0.0616	5
4.5667	0.0591	4.3657	0.0616	6
4.5665	0.0591	4.3657	0.0616	7
4.5702	0.0590	4.3657	0.0616	8
4.5681	0.0591	4.3657	0.0616	9

Framework versions

• Transformers 4.35.2
• TensorFlow 2.13.0
• Datasets 2.1.0
• Tokenizers 0.14.1