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bert-large-cased-finetuned-low20-1-cased-DA-20
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: 1.0643
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 |
|---|---|---|---|
| 2.5949 | 1.0 | 1 | 2.1115 |
| 2.0432 | 2.0 | 2 | 1.1308 |
| 1.8673 | 3.0 | 3 | 2.9839 |
| 2.148 | 4.0 | 4 | 3.1041 |
| 2.3452 | 5.0 | 5 | 0.8330 |
| 2.7264 | 6.0 | 6 | 0.4304 |
| 2.2264 | 7.0 | 7 | 0.7261 |
| 1.7837 | 8.0 | 8 | 2.6532 |
| 2.1499 | 9.0 | 9 | 1.0848 |
| 1.8867 | 10.0 | 10 | 1.6630 |
| 2.1755 | 11.0 | 11 | 0.9400 |
| 2.3771 | 12.0 | 12 | 2.6569 |
| 1.9036 | 13.0 | 13 | 2.8530 |
| 2.6166 | 14.0 | 14 | 0.5954 |
| 2.568 | 15.0 | 15 | 2.6136 |
| 2.5912 | 16.0 | 16 | 2.6986 |
| 1.245 | 17.0 | 17 | 2.1147 |
| 2.1394 | 18.0 | 18 | 1.0086 |
| 1.6254 | 19.0 | 19 | 2.1770 |
| 1.9212 | 20.0 | 20 | 1.0643 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
