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bert-finetuned-squad / README.md
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: bert-finetuned-squad
    results:
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: squad_v2
          type: squad_v2
          config: squad_v2
          split: validation
        metrics:
          - type: exact_match
            value: 40.2443
            name: Exact Match
            verified: true
            verifyToken: >-
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          - type: f1
            value: 44.135
            name: F1
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYmE1NWFlYzQ3YTZiMmY3ZDgyYWRlNzI5M2IwYzZkOWUwMDE2NGU4M2RjODBiNjEzY2YxNTVlZmE5OWNmNDU2NiIsInZlcnNpb24iOjF9.pgr2rkyQe-QdwVXuw-uBXheKFz0EhDiyO0doLMmcOi51t_slDPldk29YRXQKvpsfy3YpH_t-xaXQLs1n8VcjDQ
      - task:
          type: question-answering
          name: Question Answering
        dataset:
          name: subjqa
          type: subjqa
          config: grocery
          split: train
        metrics:
          - type: exact_match
            value: 5.625
            name: Exact Match
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDMyMDQ1OWFkY2IwYTcxNTljYTZjYTM0ZThjOGEwZWJjYjBlZWQxYWE1ZjMwNDg5NGY5MTFiYmM4YWM0Y2Y2NCIsInZlcnNpb24iOjF9.4nwNKC2teDPVd5YqvjS8sV3q-ylC9fWO5lOiZVk8o3UNdKyAtl3qAH6dU7lGcHZrxasN7zNrxv5kD5nNWr9YBQ
          - type: f1
            value: 15.8411
            name: F1
            verified: true
            verifyToken: >-
              eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMWMzMTAzNTljNjFlM2E4NGIzNjRjNzRiZTIxZjBlNjkzZWM4NjcxMjUzOGZjZTgxMGUxODk4ZjFkZmJiMjg4ZiIsInZlcnNpb24iOjF9.agcp8QkYeHBvs2Qp0YmEMlvEx1_4a_dv_0cm26UbF-YgYU_7cR86ar-h1V56mrfcKUjNRRiK79GD0P9WT6mADw

bert-finetuned-squad

This model is a fine-tuned version of bert-base-cased 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 4.21.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1