t5-small-cyclonePamKP
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1208
- Rouge1: 49.4993
- Rouge2: 41.292
- Rougel: 49.4867
- Rougelsum: 49.4893
- Gen Len: 8.6479
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.197 | 1.0 | 6199 | 1.2715 | 48.7826 | 40.9132 | 48.7107 | 48.673 | 8.8249 |
| 1.0007 | 2.0 | 12398 | 1.1895 | 49.2848 | 41.2383 | 49.2157 | 49.2427 | 8.8057 |
| 0.9704 | 3.0 | 18597 | 1.1555 | 48.6181 | 40.4911 | 48.6226 | 48.5723 | 8.3833 |
| 0.8767 | 4.0 | 24796 | 1.1741 | 50.095 | 41.7648 | 50.0118 | 50.0238 | 8.6996 |
| 0.8609 | 5.0 | 30995 | 1.1208 | 49.4993 | 41.292 | 49.4867 | 49.4893 | 8.6479 |
| 0.8116 | 6.0 | 37194 | 1.1342 | 48.6285 | 40.1426 | 48.6128 | 48.588 | 8.5086 |
| 0.7775 | 7.0 | 43393 | 1.1344 | 48.8308 | 40.1481 | 48.7914 | 48.7812 | 8.4947 |
| 0.7684 | 8.0 | 49592 | 1.1341 | 49.1873 | 40.4318 | 49.1699 | 49.1436 | 8.5676 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2