---
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: adversarial_qa
      type: adversarial_qa
      config: adversarialQA
      split: validation
    metrics:
    - type: f1
      value: 32.3397
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiMzQ4MzMyZDgzOGRlMjI5MGI2NTU5M2FkMWI5ZDFmMTc0MjczZDU0MzU3YjE2YzRmNjgyMDhjZWI2MTljNGRjNCIsInZlcnNpb24iOjF9.fhrHqXSNMRf79P-fz_uF9zu-q1kmgRrUrwpArmbeUbsBzghFMNlixjGBj0DjRSqNowZx-rPOJEjUfmy6IoKRBA
    - type: exact_match
      value: 21.0333
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNTk0ZmFmZjA2NThhMjUyYTgwMzM0MjY1Nzg4ZDZmMDkxOTAyOGU0MTI1ZGE3YjMzOTQ3OThlNjFjMTA1NTNmOCIsInZlcnNpb24iOjF9.B3Z30EVq3nftd2fymhabm0rsSop2HvWfnqDl46oyw20jRFwxuKJE3oF72iCGEAworlhC0hurbVMt-WgGj5XyBA
    - type: loss
      value: 3.934098243713379
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiYzg2MWQxZDY2MDE5M2RkZWNkZDkyOWVjNGNjMDg2ZWE0NTA2ZDFhZTEzYjNiN2YyMDAwZTQyZGJlOTc1NWQ0OSIsInZlcnNpb24iOjF9.i1npIhsmBnPp7HjlBTzl4q0sg1d25aYSy75ui47Fi9VU7oen50LSDoqn9FXvaU42zjXbsaoMX8CyV1PQe4MsBw
---

<!-- 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-finetuned-squad

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/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 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1