readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - squad
  model-index:
  - name: electra-smallcase-squad
    results:
    - task:
        type: question-answering
        name: Question Answering
      dataset:
        name: squad_v2
        type: squad_v2
        config: squad_v2
        split: validation
      metrics:
      - type: f1
        value: 42.535
        name: F1
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNGYwZjExOTg1NGMwMTQxZGVhMjU4NzJiZTBlM2EzZDNmMzBlMGEzNjMwZjkzMTIxOTQzYWFhYjBiZDZhNTAxYSIsInZlcnNpb24iOjF9.PMOlW_iXGS5QjV0XCs4e5AK-ip9LUdXoDKRxFc7-VM_QMhGc0eq7GGLiY6OXCt-WUwRy6RkFhIg2nzid_qMgDw
      - type: exact
        value: 38.3889
        name: Exact Match
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWIwNGVhYmIyNmUyNzkzMzA1Y2FkMDJmNzE3ZGNlOWNlNjk2Y2IwOTA5MjJkMmEwMmVhNjNkZWU1YTJhN2ViMiIsInZlcnNpb24iOjF9.S6L-PB3ZfllrXwHMfiSMDQm-tLANrBeWrNNekvfX1aZA79hbKdgP-OGPKatMatGJPirs-zPWDYXEIH4pSZeODw
      - type: loss
        value: 6.50607442855835
        name: loss
        verified: true
        verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiZWFlOWNjOTUzMTBkMDc3MDRmYmUwNzk2NjY3MmJjOTNjMWM2NGZmMDY5MTY0MWIwOTIyNWM5ZDkzNmEwNTJkNiIsInZlcnNpb24iOjF9.wxm8AMY3iCdRD3_cZIJ8zLzUh5Cj7C3k4vCoy0raXOExLIYFs4qSRWxFaI21HCJ8NhZ0IirV5ziaTpSRsPlqAw
  ---
  
  <!-- 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. -->
  
  # electra-smallcase-squad
  
  This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on the squad dataset.
  
  ## 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: 8
  - 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
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  
  
  ### Framework versions
  
  - Transformers 4.24.0
  - Pytorch 1.12.1+cu113
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  