--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05 results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue config: cola split: validation args: cola metrics: - name: Matthews Correlation type: matthews_correlation value: 0.5779953180551635 --- # bert-base-uncased-finetuned-cola_HW2_sepehr_bakhshi_dropout_05 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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