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distilbert-base-uncased-qa-with-ner

Question Answering Transformers PyTorch
distilbert generated_from_trainer Inference Endpoints
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metadata
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - conll2003
model_index:
  - name: distilbert-base-uncased-qa-with-ner
    results:
      - task:
          name: Question Answering
          type: question-answering
        dataset:
          name: conll2003
          type: conll2003
          args: conll2003

distilbert-base-uncased-qa-with-ner

This model is a fine-tuned version of andi611/distilbert-base-uncased-qa 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: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

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