distilbert-qa-mash-covid

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

• Loss: 1.0929

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss
1.7112	1.0	657	1.0613
1.0835	2.0	1314	1.0024
0.9518	3.0	1971	1.0094
0.6736	4.0	2628	1.0287
0.5997	5.0	3285	1.0929

Framework versions

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