README.md

---
language:
- en
license: cc-by-4.0
tags:
- generated_from_trainer
datasets:
- squad_v2
- conll2003
model_index:
- name: bert-large-uncased-whole-word-masking-squad2-with-ner-conll2003-with-neg-with-repeat
  results:
  - task:
      name: Token Classification
      type: token-classification
    dataset:
      name: squad_v2
      type: squad_v2
      args: conll2003
  - task:
      name: Token Classification
      type: token-classification
    dataset:
      name: conll2003
      type: conll2003
model-index:
- name: andi611/bert-large-uncased-whole-word-masking-squad2-with-ner-conll2003-with-neg-with-repeat
  results:
  - task:
      type: question-answering
      name: Question Answering
    dataset:
      name: adversarial_qa
      type: adversarial_qa
      config: adversarialQA
      split: validation
    metrics:
    - type: f1
      value: 18.5493
      name: F1
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNDY3NjQ2ZDViNGU5OTA4YWRmNTA0NTNhOWJmNDQ3NzgwY2ZiYmYyYzAxYTE3YTgxNGZhMjBjY2YwODMwZGVhOSIsInZlcnNpb24iOjF9.mmxIAZ6p-fxKtLI49f9CvjB_LjNrgDJ-TU3esLiV5dv9y6HkRgZ5PAsF0VO6gbdfEJWxKWZFX0aBlNo9Vz_tBg
    - type: exact_match
      value: 13.3333
      name: Exact Match
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiOWZlZWU3MDMzY2NkYTdkNTY2NTg5OTZiMzczNDVjYThjZmQ4NTlmZjQwM2VhMjVhOTZjZjliMTI4ZWFkMjA3ZSIsInZlcnNpb24iOjF9.HN7DglPZtzdAJ_vwyGleQLKKJJautl8b3jroS3FqUmz3dLQWNS9omjAFuu5i1G7pxom2DhKTXwZKFhIxwzReDA
    - type: loss
      value: 7.114065647125244
      name: loss
      verified: true
      verifyToken: eyJhbGciOiJFZERTQSIsInR5cCI6IkpXVCJ9.eyJoYXNoIjoiNWZhODY3NTdhNDFiNTYyZGJhZjc0OWJjZGNkNDlkNzc2MTAxMzI2Yzg0NjkxYTRmOTY5YWZhNTI0NzE4MzI2ZiIsInZlcnNpb24iOjF9.wzZOasFqp8mrzS26Ubz8CQq2fnpyXJF0V0c1I6gjaiWcMoMwePNSapXK41cD4tB5orRqKeQFodvp2hW7xjtSCQ
---

<!-- 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-large-uncased-whole-word-masking-squad2-with-ner-conll2003-with-neg-with-repeat

This model is a fine-tuned version of [deepset/bert-large-uncased-whole-word-masking-squad2](https://huggingface.co/deepset/bert-large-uncased-whole-word-masking-squad2) on the squad_v2 and the conll2003 datasets.

## 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: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results



### Framework versions

- Transformers 4.8.2
- Pytorch 1.8.1+cu111
- Datasets 1.8.0
- Tokenizers 0.10.3