README.md

metadata

tags:
  - generated_from_trainer
datasets:
  - conll2003
model_index:
  - name: distilbert-base-uncased-squad2-with-ner
    results:
      - task:
          name: Question Answering
          type: question-answering
        dataset:
          name: conll2003
          type: conll2003
          args: conll2003
base_model: twmkn9/distilbert-base-uncased-squad2

distilbert-base-uncased-squad2-with-ner

This model is a fine-tuned version of twmkn9/distilbert-base-uncased-squad2 on the conll2003 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: 3e-05
• train_batch_size: 32
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2.0

Training results

Framework versions

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