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skillsBERT_v1
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0033
- Validation Loss: 0.1292
- 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': 'Adam', 'weight_decay': None, '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 |
|---|---|---|
| 0.1396 | 0.1406 | 0 |
| 0.1272 | 0.1316 | 1 |
| 0.1121 | 0.1134 | 2 |
| 0.0966 | 0.1054 | 3 |
| 0.0863 | 0.1001 | 4 |
| 0.0785 | 0.0986 | 5 |
| 0.0723 | 0.0982 | 6 |
| 0.0665 | 0.0962 | 7 |
| 0.0611 | 0.0959 | 8 |
| 0.0560 | 0.0946 | 9 |
| 0.0509 | 0.0965 | 10 |
| 0.0459 | 0.0959 | 11 |
| 0.0411 | 0.0986 | 12 |
| 0.0364 | 0.0997 | 13 |
| 0.0320 | 0.1045 | 14 |
| 0.0278 | 0.1061 | 15 |
| 0.0240 | 0.1069 | 16 |
| 0.0204 | 0.1056 | 17 |
| 0.0174 | 0.1094 | 18 |
| 0.0146 | 0.1120 | 19 |
| 0.0122 | 0.1116 | 20 |
| 0.0102 | 0.1195 | 21 |
| 0.0085 | 0.1199 | 22 |
| 0.0071 | 0.1210 | 23 |
| 0.0061 | 0.1206 | 24 |
| 0.0052 | 0.1225 | 25 |
| 0.0046 | 0.1246 | 26 |
| 0.0040 | 0.1266 | 27 |
| 0.0036 | 0.1241 | 28 |
| 0.0033 | 0.1292 | 29 |
Framework versions
- Transformers 4.28.0.dev0
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
