metadata
license: apache-2.0
base_model: rujengelal/nepali_t5
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: nepali_t5
results: []
nepali_t5
This model is a fine-tuned version of rujengelal/nepali_t5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9595
- Bleu: 5.529
- Gen Len: 15.9474
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.5866 | 1.0 | 17734 | 3.3249 | 4.351 | 16.0208 |
| 3.4502 | 2.0 | 35468 | 3.2435 | 4.6878 | 16.0742 |
| 3.4103 | 3.0 | 53202 | 3.1736 | 4.9997 | 16.024 |
| 3.306 | 4.0 | 70936 | 3.1176 | 5.0627 | 16.1368 |
| 3.1849 | 5.0 | 88670 | 3.0681 | 5.2125 | 16.0203 |
| 3.1681 | 6.0 | 106404 | 3.0311 | 5.2869 | 15.7844 |
| 3.1283 | 7.0 | 124138 | 3.0028 | 5.3816 | 16.1057 |
| 3.0484 | 8.0 | 141872 | 2.9804 | 5.3871 | 15.9089 |
| 3.0153 | 9.0 | 159606 | 2.9638 | 5.5117 | 15.8761 |
| 3.0429 | 10.0 | 177340 | 2.9595 | 5.529 | 15.9474 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2