---
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: test-bert-finetuned-squad
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: adversarial_qa
      type: adversarial_qa
      config: adversarialQA
      split: validation
    metrics:
    - type: f1
      value: 31.2065
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOTEwYjQ0ZWFhODdhMWE2ZjJiYTQ5ZWQyMTQyNjhjMGMyODc3YjYyZGRjMTQyZmM3OGQ0MWE4N2QyMDVlMDFhYSIsInZlcnNpb24iOjF9.gcGsKYrAp6Yiy9Khk7VvSqbWAag_Eoy2jevbUaWmdbOIxXipz-C8rMWDiJSByDfX97mIbbyOpmK-A47hJRxlBg
    - type: exact_match
      value: 19.9333
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNzI4NzVlYjlhZWUwZDU2YmRmZDZiNjc4ODBiNjg3ZTBmNjZkYTg5NmRkYTdkZDM5NTE2NzEyMDE2ZmRiMTdhMiIsInZlcnNpb24iOjF9.RACgKZB3L0IqRt_UzEQt9r4TozyHCVTsG8MepFp98fvxf-wMrCouesH1TFkS84nnOo7MtHjUwfsfK8zkff_LDg
    - type: loss
      value: 3.904836654663086
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMTY1MmNmNTA5NTdkNjczYzRlMzRiMGIxNTNmYjBkZmRiOWI1NjNjMTg5YWU2MGVlODg2ODZkNTVlNTBiNzcxZSIsInZlcnNpb24iOjF9.pbRkqUex2OBeXGBWDKkz-cb5TsPXXnEPgsrhoT7-913AI_5AvZnCROTTcTy6tkQr98ab-md73mBCN7AHT0ntAg
---

<!-- 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. -->

# test-bert-finetuned-squad

This model was trained from scratch 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

### Framework versions

- Transformers 4.11.0.dev0
- Pytorch 1.8.1+cu111
- Datasets 1.12.2.dev0
- Tokenizers 0.10.3