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bert-base-uncased-finetuned-cola-dropout-0.3
This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set:
- Loss: 1.2847
- Matthews Correlation: 0.6036
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.4995 | 1.0 | 535 | 0.5102 | 0.4897 |
| 0.3023 | 2.0 | 1070 | 0.4585 | 0.5848 |
| 0.1951 | 3.0 | 1605 | 0.6793 | 0.5496 |
| 0.145 | 4.0 | 2140 | 0.7694 | 0.5925 |
| 0.1024 | 5.0 | 2675 | 1.0057 | 0.5730 |
| 0.0691 | 6.0 | 3210 | 1.0275 | 0.5892 |
| 0.0483 | 7.0 | 3745 | 1.0272 | 0.5788 |
| 0.0404 | 8.0 | 4280 | 1.2537 | 0.5810 |
| 0.0219 | 9.0 | 4815 | 1.3020 | 0.5780 |
| 0.0224 | 10.0 | 5350 | 1.2847 | 0.6036 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
