--- tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: GWW-finetuned-cola results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue args: cola metrics: - name: Matthews Correlation type: matthews_correlation value: 0.16962352015480656 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # GWW-finetuned-cola This model is a fine-tuned version of [dunlp/GWW](https://huggingface.co/dunlp/GWW) on the glue dataset. It achieves the following results on the evaluation set: - Loss: 0.6609 - Matthews Correlation: 0.1696 ## 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation | |:-------------:|:-----:|:----:|:---------------:|:--------------------:| | 0.6181 | 1.0 | 535 | 0.6585 | 0.0 | | 0.5938 | 2.0 | 1070 | 0.6276 | 0.0511 | | 0.5241 | 3.0 | 1605 | 0.6609 | 0.1696 | | 0.4433 | 4.0 | 2140 | 0.8239 | 0.1432 | | 0.3492 | 5.0 | 2675 | 0.9236 | 0.1351 | ### Framework versions - Transformers 4.20.0 - Pytorch 1.11.0+cu113 - Datasets 2.3.2 - Tokenizers 0.12.1