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bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05
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: 1.4260
- Matthews Correlation: 0.5780
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: 7.530341440816975e-06
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.5137 | 1.0 | 535 | 0.4936 | 0.4808 |
| 0.362 | 2.0 | 1070 | 0.4270 | 0.5781 |
| 0.2679 | 3.0 | 1605 | 0.6409 | 0.5148 |
| 0.2046 | 4.0 | 2140 | 0.5658 | 0.5892 |
| 0.1736 | 5.0 | 2675 | 0.7711 | 0.5624 |
| 0.1378 | 6.0 | 3210 | 0.8053 | 0.5956 |
| 0.1137 | 7.0 | 3745 | 0.9714 | 0.5523 |
| 0.0903 | 8.0 | 4280 | 0.9119 | 0.5735 |
| 0.0839 | 9.0 | 4815 | 1.0448 | 0.5839 |
| 0.0629 | 10.0 | 5350 | 1.2056 | 0.5521 |
| 0.0577 | 11.0 | 5885 | 1.1880 | 0.5889 |
| 0.0505 | 12.0 | 6420 | 1.1722 | 0.5836 |
| 0.0519 | 13.0 | 6955 | 1.2863 | 0.5884 |
| 0.0369 | 14.0 | 7490 | 1.2971 | 0.5608 |
| 0.032 | 15.0 | 8025 | 1.3024 | 0.5785 |
| 0.0244 | 16.0 | 8560 | 1.3904 | 0.5737 |
| 0.0166 | 17.0 | 9095 | 1.4044 | 0.5778 |
| 0.0185 | 18.0 | 9630 | 1.4234 | 0.5650 |
| 0.0168 | 19.0 | 10165 | 1.4384 | 0.5727 |
| 0.0224 | 20.0 | 10700 | 1.4260 | 0.5780 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
