Bioformer-LitCovid-v1.3.1

sofia-todeschini/Bioformer-LitCovid-v1.3.1

Bioformer-LitCovid-v1.3.1 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. --

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Nov 1, 2023
Updated: Nov 1, 2023
SHA: fccbf2cd

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Model card

From the Hugging Face model README

Bioformer-LitCovid-v1.3.1

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: 0.4639
Hamming loss: 0.0375
F1 micro: 0.7254
F1 macro: 0.2721
F1 weighted: 0.8153
F1 samples: 0.8091
Precision micro: 0.5970
Precision macro: 0.2139
Precision weighted: 0.7445
Precision samples: 0.7700
Recall micro: 0.9243
Recall macro: 0.7966
Recall weighted: 0.9243
Recall samples: 0.9342
Roc Auc: 0.9445
Accuracy: 0.5243

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Hamming loss	F1 micro	F1 macro	F1 weighted	F1 samples	Precision micro	Precision macro	Precision weighted	Precision samples	Recall micro	Recall macro	Recall weighted	Recall samples	Roc Auc	Accuracy
0.9561	1.0	1136	0.5778	0.0745	0.5683	0.2036	0.7263	0.6631	0.4123	0.1552	0.6235	0.5852	0.9144	0.7912	0.9144	0.9216	0.9203	0.2653
0.7759	2.0	2272	0.4875	0.0440	0.6899	0.2545	0.7872	0.7686	0.5543	0.1978	0.7076	0.7196	0.9134	0.7626	0.9134	0.9238	0.9359	0.4380
0.6398	3.0	3408	0.4722	0.0385	0.7188	0.2699	0.8005	0.7910	0.5907	0.2101	0.7250	0.7463	0.9179	0.7580	0.9179	0.9274	0.9409	0.4832
0.5712	4.0	4544	0.4652	0.0374	0.7264	0.2754	0.8096	0.8018	0.5980	0.2151	0.7347	0.7582	0.9250	0.7774	0.9250	0.9343	0.9449	0.5034
0.4337	5.0	5680	0.4639	0.0375	0.7254	0.2721	0.8153	0.8091	0.5970	0.2139	0.7445	0.7700	0.9243	0.7966	0.9243	0.9342	0.9445	0.5243

Framework versions

Transformers 4.28.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.13.3

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Nov 1, 2023
Updated: Nov 1, 2023