kaytoo2022/t5_technical_qa_with_react_3
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.1006
- Validation Loss: 1.6608
- Epoch: 19
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 |
|---|---|---|
| 2.5832 | 2.2541 | 0 |
| 2.2701 | 2.1489 | 1 |
| 2.1253 | 2.0771 | 2 |
| 2.0259 | 2.0242 | 3 |
| 1.9282 | 1.9847 | 4 |
| 1.8461 | 1.9378 | 5 |
| 1.7743 | 1.9069 | 6 |
| 1.7029 | 1.8796 | 7 |
| 1.6345 | 1.8492 | 8 |
| 1.5830 | 1.8286 | 9 |
| 1.5227 | 1.8002 | 10 |
| 1.4597 | 1.7731 | 11 |
| 1.4119 | 1.7558 | 12 |
| 1.3577 | 1.7440 | 13 |
| 1.3038 | 1.7274 | 14 |
| 1.2705 | 1.7083 | 15 |
| 1.2188 | 1.6981 | 16 |
| 1.1836 | 1.6850 | 17 |
| 1.1456 | 1.6737 | 18 |
| 1.1006 | 1.6608 | 19 |
Framework versions
- Transformers 4.42.4
- TensorFlow 2.17.0
- Datasets 2.20.0
- Tokenizers 0.19.1