<!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. -->
TestZee/t5-small-finetuned-custom-wion-test
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: 1.9773
- Validation Loss: 0.8028
- Epoch: 9
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 |
|---|---|---|
| 2.2933 | 0.9052 | 0 |
| 2.3077 | 0.8923 | 1 |
| 2.1972 | 0.8797 | 2 |
| 2.1740 | 0.8677 | 3 |
| 2.1535 | 0.8564 | 4 |
| 2.1772 | 0.8452 | 5 |
| 2.1227 | 0.8342 | 6 |
| 2.0875 | 0.8234 | 7 |
| 2.0279 | 0.8129 | 8 |
| 1.9773 | 0.8028 | 9 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Tokenizers 0.12.1
