t5-small-canadaWildfire
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2541
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
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7352 | 1.0 | 6015 | 0.7156 |
| 0.9209 | 2.0 | 12030 | 0.5403 |
| 0.4861 | 3.0 | 18045 | 0.4745 |
| 0.4366 | 4.0 | 24060 | 0.4114 |
| 0.739 | 5.0 | 30075 | 0.3598 |
| 0.9445 | 6.0 | 36090 | 0.3212 |
| 0.6213 | 7.0 | 42105 | 0.2908 |
| 0.2837 | 8.0 | 48120 | 0.2753 |
| 0.6256 | 9.0 | 54135 | 0.2623 |
| 0.249 | 10.0 | 60150 | 0.2541 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2