<!-- 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. -->
skillsBERT_v3
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0728
- Validation Loss: 6.7366
- Epoch: 49
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': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 6.8303 | 6.7512 | 0 |
| 6.2128 | 6.1686 | 1 |
| 5.3526 | 5.2872 | 2 |
| 4.5883 | 4.9001 | 3 |
| 4.0815 | 4.7446 | 4 |
| 3.6906 | 4.6986 | 5 |
| 3.3715 | 4.8142 | 6 |
| 3.0918 | 4.5540 | 7 |
| 2.8173 | 4.6815 | 8 |
| 2.5603 | 4.6359 | 9 |
| 2.3075 | 4.8909 | 10 |
| 2.0662 | 4.7510 | 11 |
| 1.8325 | 4.8515 | 12 |
| 1.6146 | 4.7591 | 13 |
| 1.4106 | 4.8230 | 14 |
| 1.2215 | 5.0016 | 15 |
| 1.0493 | 4.9657 | 16 |
| 0.8918 | 5.1592 | 17 |
| 0.7619 | 5.3179 | 18 |
| 0.6336 | 5.2910 | 19 |
| 0.5381 | 5.6262 | 20 |
| 0.4488 | 5.5304 | 21 |
| 0.3816 | 5.4275 | 22 |
| 0.3209 | 5.8982 | 23 |
| 0.2814 | 5.7482 | 24 |
| 0.2441 | 5.7706 | 25 |
| 0.2153 | 6.0133 | 26 |
| 0.1918 | 6.1146 | 27 |
| 0.1782 | 6.4018 | 28 |
| 0.1598 | 6.0096 | 29 |
| 0.1482 | 6.2542 | 30 |
| 0.1408 | 6.3236 | 31 |
| 0.1293 | 6.4049 | 32 |
| 0.1243 | 6.2547 | 33 |
| 0.1204 | 6.3997 | 34 |
| 0.1111 | 6.5252 | 35 |
| 0.1049 | 6.5424 | 36 |
| 0.1021 | 6.6899 | 37 |
| 0.1029 | 6.8212 | 38 |
| 0.0949 | 6.7073 | 39 |
| 0.0900 | 6.8162 | 40 |
| 0.0904 | 6.7465 | 41 |
| 0.0894 | 6.9141 | 42 |
| 0.0860 | 6.8801 | 43 |
| 0.0819 | 6.7101 | 44 |
| 0.0779 | 7.0270 | 45 |
| 0.0785 | 6.6004 | 46 |
| 0.0756 | 6.6370 | 47 |
| 0.0735 | 6.8723 | 48 |
| 0.0728 | 6.7366 | 49 |
Framework versions
- Transformers 4.28.0.dev0
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
