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skillsBERT_v2
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0034
- Validation Loss: 0.1296
- 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': '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 |
|---|---|---|
| 0.1397 | 0.1414 | 0 |
| 0.1276 | 0.1318 | 1 |
| 0.1132 | 0.1147 | 2 |
| 0.0977 | 0.1059 | 3 |
| 0.0868 | 0.0998 | 4 |
| 0.0789 | 0.0974 | 5 |
| 0.0726 | 0.0978 | 6 |
| 0.0668 | 0.0958 | 7 |
| 0.0615 | 0.0963 | 8 |
| 0.0564 | 0.0947 | 9 |
| 0.0514 | 0.0973 | 10 |
| 0.0465 | 0.0983 | 11 |
| 0.0416 | 0.1022 | 12 |
| 0.0370 | 0.1007 | 13 |
| 0.0326 | 0.1029 | 14 |
| 0.0285 | 0.1075 | 15 |
| 0.0247 | 0.1043 | 16 |
| 0.0213 | 0.1052 | 17 |
| 0.0180 | 0.1079 | 18 |
| 0.0153 | 0.1092 | 19 |
| 0.0128 | 0.1139 | 20 |
| 0.0106 | 0.1136 | 21 |
| 0.0089 | 0.1192 | 22 |
| 0.0076 | 0.1212 | 23 |
| 0.0064 | 0.1154 | 24 |
| 0.0055 | 0.1199 | 25 |
| 0.0048 | 0.1220 | 26 |
| 0.0042 | 0.1258 | 27 |
| 0.0038 | 0.1272 | 28 |
| 0.0034 | 0.1296 | 29 |
Framework versions
- Transformers 4.28.0.dev0
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
