COVID-SciBERT-LitCovid-v1.0

This model is a fine-tuned version of lordtt13/COVID-SciBERT on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1076
• F1: 0.8975
• Roc Auc: 0.9333
• Accuracy: 0.7945

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.1104	1.0	3120	0.1076	0.8975	0.9333	0.7945

Framework versions

• Transformers 4.28.0
• Pytorch 2.0.1+cu118
• Datasets 2.12.0
• Tokenizers 0.13.3