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metadata
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
base_model: deepset/bert-large-uncased-whole-word-masking-squad2

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 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