flan-t5-small-destination-inference
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1533
- Rouge1: 93.7111
- Rouge2: 0.0
- Rougel: 93.7462
- Rougelsum: 93.7462
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 |
|---|---|---|---|---|---|---|---|
| 1.5338 | 1.0 | 5701 | 0.2460 | 89.4132 | 0.0 | 89.4395 | 89.4483 |
| 1.2443 | 2.0 | 11402 | 0.2024 | 90.8692 | 0.0 | 90.8868 | 90.8955 |
| 1.1477 | 3.0 | 17103 | 0.1810 | 91.8779 | 0.0 | 91.8954 | 91.8954 |
| 1.0878 | 4.0 | 22804 | 0.1693 | 92.5445 | 0.0 | 92.5621 | 92.5621 |
| 1.0495 | 5.0 | 28505 | 0.1609 | 93.3164 | 0.0 | 93.3427 | 93.3339 |
| 1.0178 | 6.0 | 34206 | 0.1556 | 93.4041 | 0.0 | 93.4216 | 93.4304 |
| 0.9981 | 7.0 | 39907 | 0.1542 | 93.6935 | 0.0 | 93.7286 | 93.7286 |
| 0.9848 | 8.0 | 45608 | 0.1533 | 93.7111 | 0.0 | 93.7462 | 93.7462 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3