BioELECTRA-LitCovid-v1.3.1

sofia-todeschini/BioELECTRA-LitCovid-v1.3.1

BioELECTRA-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.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: electra
Access: Public
Created: Nov 1, 2023
Updated: Nov 1, 2023
SHA: e62038a7

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Model card

From the Hugging Face model README

BioELECTRA-LitCovid-v1.3.1

This model is a fine-tuned version of kamalkraj/bioelectra-base-discriminator-pubmed on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6749
Hamming loss: 0.0257
F1 micro: 0.7955
F1 macro: 0.3005
F1 weighted: 0.8714
F1 samples: 0.8642
Precision micro: 0.6936
Precision macro: 0.2470
Precision weighted: 0.8294
Precision samples: 0.8463
Recall micro: 0.9326
Recall macro: 0.7358
Recall weighted: 0.9326
Recall samples: 0.9427
Roc Auc: 0.9546
Accuracy: 0.6664

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	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
1.385	1.0	2272	0.6961	0.0592	0.6188	0.2176	0.7539	0.7422	0.4725	0.1706	0.6672	0.6890	0.8965	0.6896	0.8965	0.9065	0.9199	0.3887
1.2034	2.0	4544	0.6242	0.0342	0.7421	0.2668	0.8404	0.8354	0.6231	0.2180	0.7922	0.8120	0.9172	0.6872	0.9172	0.9319	0.9429	0.5906
1.0857	3.0	6816	0.6185	0.0270	0.7869	0.2949	0.8615	0.8587	0.6815	0.2402	0.8153	0.8382	0.9308	0.7164	0.9308	0.9437	0.9531	0.6444
0.8846	4.0	9088	0.6143	0.0260	0.7936	0.2994	0.8677	0.8626	0.6916	0.2460	0.8237	0.8444	0.9309	0.7254	0.9309	0.9421	0.9537	0.6594
0.6753	5.0	11360	0.6749	0.0257	0.7955	0.3005	0.8714	0.8642	0.6936	0.2470	0.8294	0.8463	0.9326	0.7358	0.9326	0.9427	0.9546	0.6664

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: electra
Created: Nov 1, 2023
Updated: Nov 1, 2023