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Flan
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:
- Train Loss: 1.1764
- Validation Loss: 0.9237
- Epoch: 24
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 2e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 1.6824 | 1.3619 | 0 |
| 1.5733 | 1.3030 | 1 |
| 1.5199 | 1.2730 | 2 |
| 1.4833 | 1.2379 | 3 |
| 1.4591 | 1.2201 | 4 |
| 1.4278 | 1.1945 | 5 |
| 1.4101 | 1.1755 | 6 |
| 1.3870 | 1.1561 | 7 |
| 1.3740 | 1.1366 | 8 |
| 1.3559 | 1.1163 | 9 |
| 1.3420 | 1.1007 | 10 |
| 1.3265 | 1.0871 | 11 |
| 1.3082 | 1.0708 | 12 |
| 1.2984 | 1.0586 | 13 |
| 1.2832 | 1.0429 | 14 |
| 1.2724 | 1.0305 | 15 |
| 1.2634 | 1.0170 | 16 |
| 1.2486 | 1.0090 | 17 |
| 1.2375 | 0.9901 | 18 |
| 1.2259 | 0.9760 | 19 |
| 1.2128 | 0.9659 | 20 |
| 1.2038 | 0.9556 | 21 |
| 1.1965 | 0.9446 | 22 |
| 1.1833 | 0.9369 | 23 |
| 1.1764 | 0.9237 | 24 |
Framework versions
- Transformers 4.32.0
- TensorFlow 2.13.0
- Datasets 2.14.4
- Tokenizers 0.12.1
