eng-hin-translator

This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.4143
• Bleu Score: 34.2532

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:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu Score
1.7332	1.0	548	1.5131	31.6167
1.3588	2.0	1096	1.4463	33.0225
1.1651	3.0	1644	1.4209	34.0514
1.042	4.0	2192	1.4139	34.0137
0.9686	5.0	2740	1.4143	34.2532

Framework versions

• Transformers 4.21.2
• Pytorch 1.12.1
• Datasets 2.4.0
• Tokenizers 0.12.1