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TestZee/t5-small-finetuned-custom-wion-test-BIG
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1165
- Validation Loss: 0.4609
- Epoch: 29
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.9622 | 0.8875 | 0 |
| 1.9276 | 0.8601 | 1 |
| 1.8301 | 0.8342 | 2 |
| 1.7776 | 0.8104 | 3 |
| 1.7345 | 0.7878 | 4 |
| 1.7733 | 0.7660 | 5 |
| 1.5626 | 0.7448 | 6 |
| 1.6111 | 0.7245 | 7 |
| 1.6754 | 0.7050 | 8 |
| 1.5030 | 0.6867 | 9 |
| 1.5101 | 0.6696 | 10 |
| 1.4328 | 0.6536 | 11 |
| 1.4311 | 0.6383 | 12 |
| 1.3917 | 0.6232 | 13 |
| 1.4102 | 0.6071 | 14 |
| 1.3732 | 0.5948 | 15 |
| 1.3468 | 0.5828 | 16 |
| 1.2817 | 0.5712 | 17 |
| 1.2920 | 0.5600 | 18 |
| 1.2696 | 0.5491 | 19 |
| 1.2552 | 0.5385 | 20 |
| 1.1859 | 0.5285 | 21 |
| 1.1995 | 0.5188 | 22 |
| 1.1690 | 0.5094 | 23 |
| 1.1678 | 0.5003 | 24 |
| 1.1420 | 0.4916 | 25 |
| 1.0959 | 0.4830 | 26 |
| 1.0848 | 0.4750 | 27 |
| 1.1248 | 0.4677 | 28 |
| 1.1165 | 0.4609 | 29 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
