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constituency-brackets-20
This model is a fine-tuned version of allegro/herbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2020
- Train Acc: 0.9356
- Validation Loss: 0.2929
- Validation Acc: 0.9120
- 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': 'Adam', 'learning_rate': 5e-06, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Train Acc | Validation Loss | Validation Acc | Epoch |
|---|---|---|---|---|
| 2.4703 | 0.3783 | 1.4719 | 0.5858 | 0 |
| 1.2149 | 0.6600 | 0.8922 | 0.7269 | 1 |
| 0.8721 | 0.7343 | 0.6914 | 0.7779 | 2 |
| 0.7186 | 0.7715 | 0.6028 | 0.8037 | 3 |
| 0.6239 | 0.7987 | 0.5427 | 0.8240 | 4 |
| 0.5432 | 0.8342 | 0.4469 | 0.8677 | 5 |
| 0.4521 | 0.8665 | 0.4092 | 0.8760 | 6 |
| 0.4100 | 0.8761 | 0.3867 | 0.8819 | 7 |
| 0.3792 | 0.8855 | 0.3761 | 0.8849 | 8 |
| 0.3526 | 0.8926 | 0.3469 | 0.8938 | 9 |
| 0.3304 | 0.8981 | 0.3433 | 0.8944 | 10 |
| 0.3091 | 0.9049 | 0.3329 | 0.8977 | 11 |
| 0.2935 | 0.9081 | 0.3178 | 0.9028 | 12 |
| 0.2769 | 0.9138 | 0.3140 | 0.9032 | 13 |
| 0.2614 | 0.9173 | 0.2994 | 0.9114 | 14 |
| 0.2472 | 0.9213 | 0.2954 | 0.9128 | 15 |
| 0.2344 | 0.9260 | 0.2899 | 0.9142 | 16 |
| 0.2229 | 0.9292 | 0.2971 | 0.9092 | 17 |
| 0.2136 | 0.9322 | 0.2872 | 0.9143 | 18 |
| 0.2020 | 0.9356 | 0.2929 | 0.9120 | 19 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2
