<!-- 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. -->
hsohn3/cchs-bert-visit-uncased-wordlevel-block512-batch4-ep30
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: 1.6958
- 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': '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 |
|---|---|
| 3.8594 | 0 |
| 3.0596 | 1 |
| 3.0244 | 2 |
| 3.0092 | 3 |
| 2.9900 | 4 |
| 2.9930 | 5 |
| 2.9806 | 6 |
| 2.9839 | 7 |
| 2.9784 | 8 |
| 2.9755 | 9 |
| 2.9733 | 10 |
| 2.9670 | 11 |
| 2.9607 | 12 |
| 2.9569 | 13 |
| 2.9176 | 14 |
| 2.8893 | 15 |
| 2.8539 | 16 |
| 2.8335 | 17 |
| 2.8110 | 18 |
| 2.7907 | 19 |
| 2.7756 | 20 |
| 2.7486 | 21 |
| 2.7169 | 22 |
| 2.6725 | 23 |
| 2.6094 | 24 |
| 2.5099 | 25 |
| 2.3102 | 26 |
| 2.0934 | 27 |
| 1.8858 | 28 |
| 1.6958 | 29 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
