README.md

---
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:
    - name: Exact Match
      type: exact_match
      value: 40.2443
      verified: true
    - name: F1
      type: f1
      value: 44.135
      verified: true
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: subjqa
      type: subjqa
      config: grocery
      split: train
    metrics:
    - name: Exact Match
      type: exact_match
      value: 5.625
      verified: true
    - name: F1
      type: f1
      value: 15.8411
      verified: true
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1