readme: ---
  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
        args: sst2
      metrics:
      - type: accuracy
        value: 0.8967889908256881
        name: Accuracy
    - 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.eyJoYXNoIjoiNTZmNGE1N2FjODM3OGJiM2Q2NTY5MzZjNGFhNGVjYzcwOTlkMzVhYjdmOTgwY2Y1NzMyZjY0NzAxMzZkMjM4NyIsInZlcnNpb24iOjF9.LabPe-QWLUUJdPyQ0Ki9rHq74opfAO1fxvu2FjUFiY9zhxAe0RKNjZRHPbrF10249Z3kDZSAq2yzQ1TjKvoLBQ
      - type: precision
        value: 0.8898678414096917
        name: Precision
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTczZjUwY2MzNTMzY2VlMjFmZGI2MzAwNTEwM2IzYWVkYmFiNjk0MDM3YmYzYjFmNGM3NWI5NDIzODJjMTA1ZCIsInZlcnNpb24iOjF9.3RC343Rtep7yxGH82c1WV2IAVqhJTRoOwiwFVp_w0K0JK_dTqnfEylLb1yMt367ztvkhhOgRn4i9GsL4ZNC5BQ
      - type: recall
        value: 0.9099099099099099
        name: Recall
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmM4M2Y3YTVjOTlhZjc2OGUxMzFhNGI3YzM4MDI0NDMwMmQyMmRmY2MyMTI5ZTdmYWVjMTlmYWE0N2Q0ZjJiNyIsInZlcnNpb24iOjF9.lMKosw258_E40HdqY8BFyWVJYAMx4cpVyYusGEqN429_cv3DzeIMaOr00trGsJX3BIqr-j5ScjLVV79f5nK2CA
      - type: auc
        value: 0.9672186789593331
        name: AUC
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzY1YmM4YjJhNTY2ZmIyYmI5ZTBjZjc3MDZiMzQ3ZTEyZWQ1M2I4ZTk4OGYwNzZiY2VlODRkODRjNTg2MDNmMSIsInZlcnNpb24iOjF9.tO3GQ5Rgl26zHz18-yR2wtcajmb_MEPNCZiA1Exz4255-m1iDFyMPM2Pw4s75xUSXWzsF--bo6eqmCLo4yjkBw
      - type: f1
        value: 0.8997772828507795
        name: F1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMmM0ZjhjZWY2ZGZiYWZhOTY2OWUwNzcxMTRlNjU4MDMyMWViMjg2YzE0YzBiMzVlYTU2ODkyZWY0MzcxOWJlOCIsInZlcnNpb24iOjF9.sySuyn4j72Gt3wstru118StL7pzGgZKzAPtE0FM7HVfdBrVXwZckKaUmoQR-nKaVynbo1h4mykNdM-_MwmLlCA
      - type: loss
        value: 0.30092036724090576
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDQ2ZjJiMjVhNTMxZGIxMTFlMjVhYTQyOGI2YjgyOTI3OTQ4NGU0ZWYxMDY2MmI1OGNiNDcwNTU3MmEzM2YzZSIsInZlcnNpb24iOjF9.MGCrOvwyOdMQ91z2pzgsIxS-PMCZy2YwNX7IuMNAVokRhTSGUYtFt-8px1Dv9w39IT6ZbySZ7kQQKz6kK8HWAQ
      - type: matthews_correlation
        value: 0.793630584795814
        name: matthews_correlation
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOGY5ODMyZjc4MTk0NWU1YTRmNGI5NDU0ZGRlMDEwY2ZhN2YzMjAxNDE2MTY4ZTI2OWZjMzkwMzc5NTY3NTlkMSIsInZlcnNpb24iOjF9.1WB_1AIkuk68pphfqpqB_T1VpM3wJPe7mNGOvaDANcek7TKUFuT6kA8J1h1SICS_80mdXDI4yJGGZy3CZwpXDQ
  ---
  
  <!-- 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
  