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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
