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hsohn3/mayo-bert-visit-uncased-wordlevel-block512-batch4-ep50
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.0832
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Epoch |
|---|---|
| 4.1266 | 0 |
| 3.5212 | 1 |
| 3.4780 | 2 |
| 3.4533 | 3 |
| 3.4376 | 4 |
| 3.4325 | 5 |
| 3.4276 | 6 |
| 3.4119 | 7 |
| 3.3654 | 8 |
| 3.2948 | 9 |
| 3.2422 | 10 |
| 3.2069 | 11 |
| 3.1736 | 12 |
| 3.1292 | 13 |
| 3.0781 | 14 |
| 3.0138 | 15 |
| 2.9582 | 16 |
| 2.8954 | 17 |
| 2.7166 | 18 |
| 2.4073 | 19 |
| 2.1573 | 20 |
| 1.9469 | 21 |
| 1.7981 | 22 |
| 1.7012 | 23 |
| 1.6145 | 24 |
| 1.5482 | 25 |
| 1.4866 | 26 |
| 1.4336 | 27 |
| 1.3815 | 28 |
| 1.3483 | 29 |
| 1.3087 | 30 |
| 1.2814 | 31 |
| 1.2548 | 32 |
| 1.2373 | 33 |
| 1.2216 | 34 |
| 1.2080 | 35 |
| 1.1907 | 36 |
| 1.1820 | 37 |
| 1.1650 | 38 |
| 1.1622 | 39 |
| 1.1498 | 40 |
| 1.1347 | 41 |
| 1.1299 | 42 |
| 1.1197 | 43 |
| 1.1100 | 44 |
| 1.1094 | 45 |
| 1.1033 | 46 |
| 1.0943 | 47 |
| 1.0918 | 48 |
| 1.0832 | 49 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
