flan-t5-small-20-epochs-fine-tune
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1136
- Accuracy: 1
- F1 Micro: 1
- F1 Macro: 1
- F1 Weighted: 1
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: 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Micro | F1 Macro | F1 Weighted |
|---|---|---|---|---|---|---|---|
| 2.0193 | 1.0 | 643 | 1.3910 | 1 | 1 | 1 | 1 |
| 1.3609 | 2.0 | 1286 | 0.9353 | 1 | 1 | 1 | 1 |
| 1.0198 | 3.0 | 1929 | 0.8408 | 1 | 1 | 1 | 1 |
| 0.7264 | 4.0 | 2572 | 0.7945 | 1 | 1 | 1 | 1 |
| 0.6595 | 5.0 | 3215 | 0.7847 | 1 | 1 | 1 | 1 |
| 0.5689 | 6.0 | 3858 | 0.7898 | 1 | 1 | 1 | 1 |
| 0.4745 | 7.0 | 4501 | 0.7969 | 1 | 1 | 1 | 1 |
| 0.4204 | 8.0 | 5144 | 0.8213 | 1 | 1 | 1 | 1 |
| 0.403 | 9.0 | 5787 | 0.8726 | 1 | 1 | 1 | 1 |
| 0.3578 | 10.0 | 6430 | 0.8777 | 1 | 1 | 1 | 1 |
| 0.3238 | 11.0 | 7073 | 0.9143 | 1 | 1 | 1 | 1 |
| 0.287 | 12.0 | 7716 | 0.9656 | 1 | 1 | 1 | 1 |
| 0.2903 | 13.0 | 8359 | 0.9580 | 1 | 1 | 1 | 1 |
| 0.2463 | 14.0 | 9002 | 1.0306 | 1 | 1 | 1 | 1 |
| 0.2318 | 15.0 | 9645 | 1.0428 | 1 | 1 | 1 | 1 |
| 0.2265 | 16.0 | 10288 | 1.0483 | 1 | 1 | 1 | 1 |
| 0.1954 | 17.0 | 10931 | 1.0825 | 1 | 1 | 1 | 1 |
| 0.191 | 18.0 | 11574 | 1.0972 | 1 | 1 | 1 | 1 |
| 0.1774 | 19.0 | 12217 | 1.1163 | 1 | 1 | 1 | 1 |
| 0.1847 | 20.0 | 12860 | 1.1136 | 1 | 1 | 1 | 1 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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