t5-small-finetune-dzongkha-to-romanized
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5253
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 2.1667
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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 90 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| No log | 2.0 | 180 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| No log | 3.0 | 270 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| No log | 4.0 | 360 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| No log | 5.0 | 450 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| 4.7286 | 6.0 | 540 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| 4.7286 | 7.0 | 630 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| 4.7286 | 8.0 | 720 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| 4.7286 | 9.0 | 810 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
| 4.7286 | 10.0 | 900 | 4.5253 | 0.0 | 0.0 | 0.0 | 0.0 | 2.1667 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2