t5-base-destination-inference
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4240
- Rouge1: 29.0369
- Rouge2: 0.0
- Rougel: 29.0007
- Rougelsum: 28.9826
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: 5.6e-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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 2.1788 | 1.0 | 2762 | 1.6737 | 21.7686 | 0.0 | 21.7958 | 21.7596 |
| 1.7176 | 2.0 | 5524 | 1.5569 | 24.6017 | 0.0 | 24.6017 | 24.5474 |
| 1.556 | 3.0 | 8286 | 1.4978 | 26.05 | 0.0 | 26.05 | 26.0319 |
| 1.4456 | 4.0 | 11048 | 1.4613 | 26.937 | 0.0 | 26.937 | 26.8827 |
| 1.3661 | 5.0 | 13810 | 1.4351 | 28.2223 | 0.0 | 28.2223 | 28.2042 |
| 1.3045 | 6.0 | 16572 | 1.4196 | 27.9508 | 0.0 | 27.9146 | 27.8965 |
| 1.2519 | 7.0 | 19334 | 1.4211 | 28.8559 | 0.0 | 28.8378 | 28.8197 |
| 1.2262 | 8.0 | 22096 | 1.4240 | 29.0369 | 0.0 | 29.0007 | 28.9826 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1