Bioformer-LitCovid-v1.2.2 – AI Model by sofia-todeschini | AlphaNeural AI

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sofia-todeschini/
Bioformer-LitCovid-v1.2.2

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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Bioformer-LitCovid-v1.2.2

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: 0.2230
F1 micro: 0.9107
F1 macro: 0.8633
F1 weighted: 0.9127
F1 samples: 0.9132
Precision micro: 0.8780
Precision macro: 0.8105
Precision weighted: 0.8840
Precision samples: 0.9034
Recall micro: 0.9460
Recall macro: 0.9339
Recall weighted: 0.9460
Recall samples: 0.9534
Roc Auc: 0.9577
Accuracy: 0.7542

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	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
0.2625	1.0	2183	0.2415	0.8961	0.8499	0.8980	0.8996	0.8443	0.7844	0.8501	0.8775	0.9545	0.9373	0.9545	0.9590	0.9568	0.7083
0.2099	2.0	4366	0.2230	0.9107	0.8633	0.9127	0.9132	0.8780	0.8105	0.8840	0.9034	0.9460	0.9339	0.9460	0.9534	0.9577	0.7542
0.1735	3.0	6549	0.2661	0.9141	0.8732	0.9153	0.9155	0.8821	0.8361	0.8857	0.9057	0.9486	0.9203	0.9486	0.9543	0.9596	0.7653
0.1336	4.0	8732	0.2682	0.9187	0.8769	0.9197	0.9207	0.8953	0.8408	0.8979	0.9169	0.9435	0.9199	0.9435	0.9511	0.9589	0.7804
0.1102	5.0	10915	0.2825	0.9183	0.8778	0.9191	0.9199	0.8913	0.8413	0.8936	0.9134	0.9470	0.9202	0.9470	0.9536	0.9601	0.7792

Framework versions

Transformers 4.28.0
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3