--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue model-index: - name: autoevaluate/binary-classification-not-evaluated results: - task: type: text-classification name: Text Classification dataset: name: glue type: glue config: sst2 split: validation metrics: - type: accuracy value: 0.8967889908256881 name: Accuracy verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZTFhNTM5OGFkNTYxNmM5OTRmNmI0MWU1MWFiYzM5ODM0MTdiYmZmYmExOTI5ZTQzNGQ0YWRlNjQ2MjdjOWFhYSIsInZlcnNpb24iOjF9.fcoYl-t_iYhGKGJqLB-AGrmAsd_QkUXWJFsxdi-x6RjTJeCevEHSRABdLKM2UM7yJF8nGwvWjI68r1fJ1OlSCw - type: precision value: 0.8898678414096917 name: Precision verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2FjZWMyMzUzYjI5MDdkN2M3OGZhMzU0YmRlMDQwZjc4ZWU4ZTljYWFjZDVkMzRkMTBiOGM4YmQyMjM0YTUyOCIsInZlcnNpb24iOjF9.7d28G0boU5Xc-3-ox3040mluwIbls0pjLG8XROJaqkG6ei0HVKyTds1fzgr3-JZxK6wylItVGDPg0Z5MAa5yAA - type: recall value: 0.9099099099099099 name: Recall verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDhhZThhZjE2YzliYTAxODQ4NDNiYTM4OGQxOGQ0NzU3YzljZjViNDEyODgwNjg3NGFkZDU3MGVjNDM5ZmE2MyIsInZlcnNpb24iOjF9.eMy2JTxw821ff8umlAyX20SGSlll2e2yaVaEab3gl5xwU36qocNBve_IfluAox4J5bg8VCKhRdR-yzhJ01IZAw - type: auc value: 0.9672186789593331 name: AUC verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiN2U5YTRmM2FjNDdmYmMzY2U0MzliMWYxOGYwMGYyNTJkMzk2YjRhMWJhMTAzMDU1NmUyNjEzYjA1NTBiNmNlMSIsInZlcnNpb24iOjF9.iWtm0L1Fvfrh5S4DEkZCx2ewFajs26DpFbX8YAOay_dkFdpgJGbr6avAyKg-tUXjUGpinW_DpeGnluXF-MtQAw - type: f1 value: 0.8997772828507795 name: F1 verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYTgwMGM1NzMzZTBkMTA2YjAyYjhkZGYzZWQxZDY4ZjIzNmZkY2U1Mjk0NGZkOGVkN2QxZmMzMjdkNWIzOWYwZiIsInZlcnNpb24iOjF9.MT-ofNgyx-zxqwBjbzW5oeFG0YOAcN9OZQNpbJSvGZDWRi6ZWd5hrWohAEviNHA12LQsdu4s5oRgPpWPe25kAA - type: loss value: 0.30092036724090576 name: loss verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiM2ZjY2FjM2M1MmM2ZmRjYmVhMGY2YTgxZjhhMTFlNjY3OTg0MzUzZjYzZWMxZTAxNTc5MjhkMDY0NzhkYTBkNSIsInZlcnNpb24iOjF9.2JQmUWcTR6_8dsFeBKt_UG0dg-qJFIIoDFxYx2O059ikdIBKHu5DqY0U2aJvuyTyWxzKxOxkSStzRSZEKOf-Bw - type: matthews_correlation value: 0.793630584795814 name: matthews_correlation verified: true verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjZkY2IzNmMwNGY0N2NiNGQ4MGI2Yzk3YTY1M2ExZjBmYTIyMGM1YzA4NzRiMWY0YTZlOTY2YmY4NWMxYTliNSIsInZlcnNpb24iOjF9.c7TFOc93GiblJ49JbsWknmj0yPFAvO50eep4Dcof8aKbysNxDuprg67CdWN7WqIU3cEFgIcRPyC6nX5t44fHDg --- # binary-classification This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the glue dataset. It achieves the following results on the evaluation set: - Loss: 0.3009 - Accuracy: 0.8968 ## 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: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.175 | 1.0 | 4210 | 0.3009 | 0.8968 | ### Framework versions - Transformers 4.19.2 - Pytorch 1.11.0+cu113 - Datasets 2.2.2 - Tokenizers 0.12.1