| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - glue |
| metrics: |
| - accuracy |
| model-index: |
| - name: autoevaluate/binary-classification |
| results: |
| - task: |
| type: text-classification |
| name: Text Classification |
| dataset: |
| name: glue |
| type: glue |
| config: sst2 |
| split: validation |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8967889908256881 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmIzNTQzNTdmOWYyNmI3MDZiNTljNjU3ZmM2OTFmMzQyZTE1NDY4MjJkYWQ2ZmZiYTJhYTU5NGFkZDYwOTQ0OCIsInZlcnNpb24iOjF9.KH3XYA5ERa68EQUBPm1Jbw5S10dpjbeTR2Dc5d8NoVPue4h3tdlbmN3FfyOU1dQ4tHnIDwHqxiJJnNGdM9cEDg |
| - name: Precision |
| type: precision |
| value: 0.8898678414096917 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiODgwZGQ2ODBhZDI2ZjM3M2Q4OTQyNjViOTY3MDk3YjAwZjg0ODhlM2M4N2NmYmQzOTlkOGVkMDgwY2RmOTE1MCIsInZlcnNpb24iOjF9.potMTyGROXNJq0zC_kC9lAR3oqI1nOnWZ09XNLEyPbgzmOQ_jvJWH7U7gzkd6BlhkFrnttkPl1O4VOvAAuQKCg |
| - name: Recall |
| type: recall |
| value: 0.9099099099099099 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzZjY2I2NjBkMjVjMTk2YzJmMDIzYjY3NzRmMGRmYTM2Y2U0Mjc0NDZjMjE3MWZlYzJjMGZjYmExYjk0ZjEyNyIsInZlcnNpb24iOjF9.69DayhBa8EEbBPCWwonMYawLBNeH5f6cv6mPeZ0jKq0yFpMGXcZJETdh_TMifnkMKQQZs8C_CpSBz8DJnh_IAA |
| - name: AUC |
| type: auc |
| value: 0.9672186789593331 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGY0ZjJiZTNmODdiMzZkZGFiOWQ3ZDg4MjVmOGVjZDNkMzE5ZGVkMWUzYzY5ZDhmOTg0MzNjOGQ4N2IzZDM2OCIsInZlcnNpb24iOjF9.tpUZmfQZ0TREqxkSDfA0Tiw1E2cn1FoU1yFUAbY6BHko-ay3-cTSHkBUObGnVpeeCaHMSuTap30lB4qD3qRMAg |
| - name: F1 |
| type: f1 |
| value: 0.8997772828507795 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNjU4MTBkMjllYzk2ZmE2Y2MxODhlODljNTEyZjlhYTQxMDAwZGYzZTg1Mzc4NjBlZTk0ODVhMWJhN2FlZmMzZCIsInZlcnNpb24iOjF9.VcX2afBIJBFSJbZPZvuxx1GCNuIjB3zyQ0G-UGhvjoOLE23s23dWBiTT00VZHCOPqmNpIrKJ_ZaDqMmSPyYQBA |
| - name: loss |
| type: loss |
| value: 0.30092036724090576 |
| verified: true |
| verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZDlhMDUyOGE2NTA4ZGY0MDY1Y2E2MzFkYzU4NjRjZmJmZjFlYzkwY2ZlNWE2OTkxYzQyMzcxMzA5ZDRiYWMxYyIsInZlcnNpb24iOjF9.oWS9P7t9o6FA0vqitSVLOmhmOfnAcFqOff_I_zoIFfF3V8OURstz6tP_-MxYnLeNUCuYSGFDiXaZUaYuvLc3Bw |
| --- |
| |
| <!-- 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. --> |
|
|
| # 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 |
|
|
