Final-English-to-Nepali
This model is a fine-tuned version of [ English-to-Nepali] on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0789
- Bleu: 13.3322
- Gen Len: 30.295
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: 8
- eval_batch_size: 8
- 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 | Gen Len |
|---|
| 2.1526 | 1.0 | 125 | 2.1378 | 10.6717 | 30.905 |
| 2.1332 | 2.0 | 250 | 2.1030 | 12.5862 | 31.295 |
| 2.1125 | 3.0 | 375 | 2.0842 | 12.9723 | 29.675 |
| 2.0989 | 4.0 | 500 | 2.0782 | 13.1558 | 30.38 |
| 2.0989 | 5.0 | 625 | 2.0789 | 13.3322 | 30.295 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
