README.md

metadata

license: apache-2.0
base_model: google-bert/bert-base-uncased
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 google-bert/bert-base-uncased 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: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.41.1
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.19.1