Bioformer-LitCovid-v1.0

sofia-todeschini/Bioformer-LitCovid-v1.0

Bioformer-LitCovid-v1.0 is a text classification model from sofia-todeschini. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

19% of all-time downloads

All-time downloads

Public

Repo size

1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin170 MB · 99%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Jun 7, 2023
Updated: Jun 7, 2023
SHA: d638f0be

Try a prompt

Model card

From the Hugging Face model README

bioformer-LitCovid-v1.0

This model is a fine-tuned version of bioformers/bioformer-litcovid on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1191
F1: 0.8969
Roc Auc: 0.9366
Accuracy: 0.7895

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.1209	1.0	3120	0.1164	0.8921	0.9300	0.7863
0.1058	2.0	6240	0.1163	0.8909	0.9283	0.7825
0.0795	3.0	9360	0.1135	0.8963	0.9404	0.7881
0.0649	4.0	12480	0.1156	0.8989	0.9384	0.7953
0.0504	5.0	15600	0.1191	0.8969	0.9366	0.7895

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Jun 7, 2023
Updated: Jun 7, 2023