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cmcmaster/
gca_tab_ckpts

Name: gca_tab_ckpts
Rating: 2.5 (8 reviews)

generated_from_trainer

austin/mimic-pubmed-deberta-small

finetune

autotrain_compatible

endpoints_compatible

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gca_tab_ckpts

This model is a fine-tuned version of austin/mimic-pubmed-deberta-small on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0831
F1 Adventitial inflammation: 0.4
F1 Gca: 0.8889
F1 Giant cells: 1.0
F1 Intimal hyperplasia: 0.8
Acc Adventitial inflammation: 0.9211
Acc Gca: 0.9737
Acc Giant cells: 1.0
Acc Intimal hyperplasia: 0.9737
Auc Adventitial inflammation: 0.9306
Auc Gca: 0.9939
Auc Giant cells: 1.0
Auc Intimal hyperplasia: 0.9861

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: 0.0001
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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	F1 Adventitial inflammation	F1 Gca	F1 Giant cells	F1 Intimal hyperplasia	Acc Adventitial inflammation	Acc Gca	Acc Giant cells	Acc Intimal hyperplasia	Auc Adventitial inflammation	Auc Gca	Auc Giant cells	Auc Intimal hyperplasia
0.5304	1.0	11	0.2758	0.0	0.0	0.0	0.0	0.9474	0.8684	0.9211	0.9474	0.0417	0.4182	0.0952	0.9444
0.4395	2.0	22	0.2832	0.0	0.0	0.0	0.0	0.9474	0.8684	0.9211	0.9474	0.9167	0.8909	0.9333	0.9167
0.4243	3.0	33	0.2308	0.0	0.0	0.0	0.0	0.9474	0.8684	0.9211	0.9474	0.9167	0.9394	0.9810	0.9722
0.2879	4.0	44	0.1196	0.4	0.8889	0.8571	0.6667	0.9211	0.9737	0.9737	0.9474	0.9444	0.9939	1.0	0.9861
0.1956	5.0	55	0.0871	0.6667	1.0	0.8571	0.5714	0.9474	1.0	0.9737	0.9211	0.9583	1.0	1.0	1.0
0.2323	6.0	66	0.0961	0.4	0.9091	0.8571	0.5714	0.9211	0.9737	0.9737	0.9211	0.9444	1.0	1.0	1.0
0.1629	7.0	77	0.1099	0.4	1.0	1.0	0.8	0.9211	1.0	1.0	0.9737	0.9444	1.0	1.0	0.9722
0.1599	8.0	88	0.0819	0.4	0.7500	1.0	0.8	0.9211	0.9474	1.0	0.9737	0.9583	1.0	1.0	1.0
0.1491	9.0	99	0.0835	0.4	0.7500	1.0	0.8	0.9211	0.9474	1.0	0.9737	0.9444	1.0	1.0	0.9861
0.1284	10.0	110	0.0775	0.4	0.8889	1.0	0.8	0.9211	0.9737	1.0	0.9737	0.9306	1.0	1.0	0.9722
0.1248	11.0	121	0.0782	0.4	0.8889	1.0	0.8	0.9211	0.9737	1.0	0.9737	0.9306	1.0	1.0	0.9861
0.1209	12.0	132	0.0786	0.4	0.8889	1.0	0.8	0.9211	0.9737	1.0	0.9737	0.9306	1.0	1.0	0.9861
0.1164	13.0	143	0.0810	0.4	0.8889	1.0	0.8	0.9211	0.9737	1.0	0.9737	0.9167	0.9939	1.0	0.9861
0.1167	14.0	154	0.0813	0.4	0.8889	1.0	0.8	0.9211	0.9737	1.0	0.9737	0.9306	0.9939	1.0	0.9722
0.1216	15.0	165	0.0831	0.4	0.8889	1.0	0.8	0.9211	0.9737	1.0	0.9737	0.9306	0.9939	1.0	0.9861

Framework versions

Transformers 4.36.0
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0

cmcmaster/gca_tab_ckpts

gca_tab_ckpts

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cmcmaster/
gca_tab_ckpts