Bioformer-LitCovid-v1.0 – AI Model by sofia-todeschini | AlphaNeural AI

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sofia-todeschini/
Bioformer-LitCovid-v1.0

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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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