README.md

metadata

language:
  - en
license: cc-by-4.0
tags:
  - generated_from_trainer
datasets:
  - squad_v2
  - mit_movie
model_index:
  - name: >-
      bert-large-uncased-whole-word-masking-squad2-with-ner-mit-movie-with-neg-with-repeat
    results:
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: squad_v2
          type: squad_v2
      - task:
          name: Token Classification
          type: token-classification
        dataset:
          name: mit_movie
          type: mit_movie

bert-large-uncased-whole-word-masking-squad2-with-ner-mit-movie-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 mit_movie 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