opus-mt-en-hi-finetuned-en-to-hi
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-hi on the hind_encorp dataset. It achieves the following results on the evaluation set:
- Loss: 3.1807
- Bleu: 14.0103
- Gen Len: 24.1149
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.3667 | 1.0 | 13695 | 3.1807 | 14.0103 | 24.1149 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3