readme: ---
  language:
  - en
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - glue
  metrics:
  - accuracy
  - f1
  model-index:
  - name: bert-base-uncased-qqp
    results:
    - task:
        type: text-classification
        name: Text Classification
      dataset:
        name: GLUE QQP
        type: glue
        args: qqp
      metrics:
      - type: accuracy
        value: 0.9099925797674994
        name: Accuracy
      - type: f1
        value: 0.8788252139455897
        name: F1
    - task:
        type: natural-language-inference
        name: Natural Language Inference
      dataset:
        name: glue
        type: glue
        config: qqp
        split: validation
      metrics:
      - type: accuracy
        value: 0.9099925797674994
        name: Accuracy
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiY2RlZGIxNjAyYjRkMzg4N2FhMDEwYzk3NzNlNDEyNjc2ZTI4M2U4Mjk0ODU0NTk4NmNhNjUwZjAxNDBmNjdkMiIsInZlcnNpb24iOjF9.ftCigJiFH-iVFMBG5dSVIxdV4sgu3QVcQ0HGDjnxdI6nlWXRVAXEPkEFBeo2T-NfKNOV62HRYC7JgquMS00VDg
      - type: precision
        value: 0.8712531361415555
        name: Precision
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMGM5MDdjZGY5YzE4OTg3YmJkYTgwYWMxOWY4NjhkNmE3N2YwMzc0OTc1ODQ0NjZhYjYzZDA3NTZkODczODMyYyIsInZlcnNpb24iOjF9.waQg4ueAVRbKStoFGrZrLBgWgsfmK-Ro-eHFYNLObmSbbi35hC46tjAGgNd1blHc6aNsLmpkfK-qtMCepPEEAQ
      - type: recall
        value: 0.8865300638226402
        name: Recall
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzYyODkxZmU4ZDNjNmQ0ZGZiMTExZTA0Mjk2ZjZkMDRiNGFhOWFhNTBhNzNkMjE5YzE2MDRkN2I4YjVlMTYxZSIsInZlcnNpb24iOjF9.wXo-nBoBrXeunx-4yCbkNUfyqc8HhrJ0NeQA1d_cNBXlsNVeGEznVFduSu8aVwrrLqbRpDJWYshPEL9eAxQPAQ
      - type: auc
        value: 0.9690747048570257
        name: AUC
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmZjZTc3NmU3MTQ4OWVmMWMzNzIxYjU5YjRjOGIwMzQwNGIxZmJhODJjMDhkZjA1ZGJmYjAzNDM4ZGQxZmQxNiIsInZlcnNpb24iOjF9.KiQN8JfNNTB3lBV-58LoLhQnUZTixTzId_URIpCFENICV2ykYzwfR7WW9WrOc8dbRv79121xB46fjNLGHziBAQ
      - type: f1
        value: 0.8788252139455897
        name: F1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNmYyNjYxYmJmNjg3ODA1MjZmYWMxODllZGMzODI1NGFjNGU5ZTIxNGI3MWI4NWZiZDUwMDExMTE0ODEyODgyMSIsInZlcnNpb24iOjF9.a-gyRh1_YMEWnCTypkwp3w39iy5_1PmFntHszwtTISqDJtDKQsl3FYFJGzujSzllHrXl9ILFTcjLSkamvZSECw
      - type: loss
        value: 0.28284332156181335
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzg5ZGJiM2E4MzI1MmZkNjAyOWFlYjU2OGI0NDJiNTI3YThiNzZkMDIwMTNhZDg1NzMwNjZmNTE5NDgzYTBiMSIsInZlcnNpb24iOjF9.CPKvNWzGTwAZf0PgU-rhQYS_sFnRmrBVor4fRzDuNQjz-QtjdCPxyfWpGVsuOzuAr_u71fdFS6tGyuVpasl1Bw
  ---
  
  <!-- 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. -->
  
  # bert-base-uncased-qqp
  
  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GLUE QQP dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2829
  - Accuracy: 0.9100
  - F1: 0.8788
  - Combined Score: 0.8944
  
  ## 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: 32
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 3.0
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Combined Score |
  |:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:--------------:|
  | 0.2511        | 1.0   | 11371 | 0.2469          | 0.8969   | 0.8641 | 0.8805         |
  | 0.1763        | 2.0   | 22742 | 0.2379          | 0.9071   | 0.8769 | 0.8920         |
  | 0.1221        | 3.0   | 34113 | 0.2829          | 0.9100   | 0.8788 | 0.8944         |
  
  
  ### Framework versions
  
  - Transformers 4.20.0.dev0
  - Pytorch 1.11.0+cu113
  - Datasets 2.1.0
  - Tokenizers 0.12.1
  