bert-qa-mash-covid / README.md
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metadata
license: apache-2.0
base_model: bert-base-cased
tags:
  - question-answering
  - nlp
  - generated_from_trainer
model-index:
  - name: bert-qa-mash-covid
    results: []

bert-qa-mash-covid

This model is a fine-tuned version of bert-base-cased on the mashqa_covid_dataset 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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Framework versions

  • Transformers 4.39.3
  • Pytorch 2.1.2
  • Datasets 2.18.0
  • Tokenizers 0.15.2