t5-base-finetune-thai-to-romanized
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5823
- Rouge1: 0.0533
- Rouge2: 0.0
- Rougel: 0.0543
- Rougelsum: 0.0541
- Gen Len: 11.3346
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 6.2299 | 1.0 | 1500 | 6.0909 | 0.0 | 0.0 | 0.0 | 0.0 | 12.4211 |
| 6.0799 | 2.0 | 3000 | 5.9716 | 0.0058 | 0.0 | 0.006 | 0.0062 | 11.1185 |
| 5.9595 | 3.0 | 4500 | 5.9016 | 0.0081 | 0.0 | 0.0082 | 0.008 | 12.1465 |
| 5.8423 | 4.0 | 6000 | 5.7665 | 0.0364 | 0.0017 | 0.0367 | 0.0365 | 11.6982 |
| 5.7915 | 5.0 | 7500 | 5.7470 | 0.0441 | 0.0013 | 0.0445 | 0.0442 | 10.7897 |
| 5.7114 | 6.0 | 9000 | 5.6844 | 0.0472 | 0.0013 | 0.0476 | 0.0478 | 10.5441 |
| 5.6555 | 7.0 | 10500 | 5.6416 | 0.0549 | 0.0013 | 0.0552 | 0.0552 | 11.1098 |
| 5.6362 | 8.0 | 12000 | 5.6036 | 0.0493 | 0.0013 | 0.0501 | 0.0498 | 12.7922 |
| 5.5941 | 9.0 | 13500 | 5.5895 | 0.0535 | 0.0 | 0.0544 | 0.0542 | 11.5989 |
| 5.569 | 10.0 | 15000 | 5.5823 | 0.0533 | 0.0 | 0.0543 | 0.0541 | 11.3346 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2