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bert-large-cased-finetuned-low20-cased-DA-20 (not in use)
This model is a fine-tuned version of bert-large-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3667
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:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.477 | 1.0 | 1 | 3.0843 |
| 3.5516 | 2.0 | 2 | 4.2279 |
| 3.6173 | 3.0 | 3 | 4.2543 |
| 3.1873 | 4.0 | 4 | 2.8752 |
| 3.9494 | 5.0 | 5 | 1.7727 |
| 2.628 | 6.0 | 6 | 2.2849 |
| 1.7451 | 7.0 | 7 | 2.2338 |
| 2.6641 | 8.0 | 8 | 1.4185 |
| 3.0739 | 9.0 | 9 | 4.0617 |
| 2.1557 | 10.0 | 10 | 3.4256 |
| 1.6353 | 11.0 | 11 | 3.0232 |
| 2.6313 | 12.0 | 12 | 4.2908 |
| 1.9466 | 13.0 | 13 | 3.0047 |
| 1.8104 | 14.0 | 14 | 2.9170 |
| 2.0315 | 15.0 | 15 | 3.5850 |
| 2.6848 | 16.0 | 16 | 4.4435 |
| 2.0859 | 17.0 | 17 | 3.9439 |
| 1.6852 | 18.0 | 18 | 0.9313 |
| 1.6071 | 19.0 | 19 | 3.6927 |
| 1.697 | 20.0 | 20 | 3.7250 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
