shirsh10mall/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: 4.5746
• Validation Loss: 4.4287
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 10, '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: float32

Training results

Train Loss	Validation Loss	Epoch
4.5743	4.4287	0
4.5751	4.4287	1
4.5730	4.4287	2
4.5752	4.4287	3
4.5757	4.4287	4
4.5753	4.4287	5
4.5729	4.4287	6
4.5759	4.4287	7
4.5749	4.4287	8
4.5746	4.4287	9

Framework versions

• Transformers 4.30.2
• TensorFlow 2.12.0
• Datasets 2.1.0
• Tokenizers 0.13.3