PathologyBERT-meningioma – AI Model by Santarabantoosoo | AlphaNeural AI

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Santarabantoosoo/
PathologyBERT-meningioma

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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PathologyBERT-meningioma

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

Loss: 0.8123
Accuracy: 0.8783
Precision: 0.25
Recall: 0.0833
F1: 0.125

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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.3723	1.0	71	0.5377	0.7652	0.0588	0.0833	0.0690
0.3363	2.0	142	0.4191	0.8783	0.25	0.0833	0.125
0.2773	3.0	213	0.4701	0.8870	0.3333	0.0833	0.1333
0.2303	4.0	284	0.5831	0.8957	0.5	0.0833	0.1429
0.1657	5.0	355	0.7083	0.8348	0.1111	0.0833	0.0952
0.1228	6.0	426	1.0324	0.8	0.0769	0.0833	0.08
0.0967	7.0	497	0.8103	0.8696	0.2	0.0833	0.1176
0.0729	8.0	568	0.8711	0.8696	0.2	0.0833	0.1176
0.0624	9.0	639	0.7968	0.8783	0.25	0.0833	0.125
0.0534	10.0	710	0.8123	0.8783	0.25	0.0833	0.125

Framework versions

Transformers 4.12.2
Pytorch 1.10.1
Datasets 1.15.0
Tokenizers 0.10.3