metadata

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

bert-base-cased-qa-mash-covid

This model is a fine-tuned version of google-bert/bert-base-cased on the mashqa_covid_dataset dataset. It achieves the following results on the evaluation set:

Loss: 0.5140

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

Training Loss	Epoch	Step	Validation Loss
0.9322	1.0	2822	0.5217
0.7455	2.0	5644	0.5090
0.5868	3.0	8466	0.5140

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2