EN-HI-translation

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: 3.7639
• Validation Loss: 3.9464
• Epoch: 0

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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
3.7639	3.9464	0

Framework versions

• Transformers 4.38.2
• TensorFlow 2.15.0
• Datasets 2.19.0
• Tokenizers 0.15.2

To load the model

from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

tokenizer = AutoTokenizer.from_pretrained("Nettem-Gayathri/EN-HI-translation") model = AutoModelForSeq2SeqLM.from_pretrained("Nettem-Gayathri/EN-HI-translation",from_tf=True)