You can deploy this model and start earning money today!

clincolnoz/
bert-base-uncased-edos

Name: bert-base-uncased-edos
Availability: InStock

Views

No views yet

final-lr2e-5-bs16-fp16-2

This model is a fine-tuned version of bert-base-uncased on an https://github.com/rewire-online/edos dataset. It achieves the following results on the evaluation set:

Loss: 0.4823
F1 Macro: 0.8301
F1 Weighted: 0.8772
F1: 0.7388
Accuracy: 0.8792
Confusion Matrix: [[2834 196] [ 287 683]]
Confusion Matrix Norm: [[0.93531353 0.06468647] [0.29587629 0.70412371]]
Classification Report: precision recall f1-score support 0 0.908042 0.935314 0.921476 3030.00000 1 0.777019 0.704124 0.738778 970.00000 accuracy 0.879250 0.879250 0.879250 0.87925 macro avg 0.842531 0.819719 0.830127 4000.00000 weighted avg 0.876269 0.879250 0.877172 4000.00000

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	F1 Macro	F1 Weighted	F1	Accuracy	Confusion Matrix
0.3333	1.0	1000	0.3064	0.8165	0.8672	0.7181	0.8692	[[2811 219]
[ 304 666]]	[[0.92772277 0.07227723]
[0.31340206 0.68659794]]	precision recall f1-score support
0 0.902408 0.927723 0.914890 3030.00000
1 0.752542 0.686598 0.718059 970.00000
accuracy 0.869250 0.869250 0.869250 0.86925
macro avg 0.827475 0.807160 0.816475 4000.00000
weighted avg 0.866065 0.869250 0.867159 4000.00000
0.2271	2.0	2000	0.3905	0.8238	0.8708	0.7326	0.871	[[2777 253]
[ 263 707]]	[[0.91650165 0.08349835]
[0.27113402 0.72886598]]	precision recall f1-score support
0 0.913487 0.916502 0.914992 3030.000
1 0.736458 0.728866 0.732642 970.000
accuracy 0.871000 0.871000 0.871000 0.871
macro avg 0.824973 0.822684 0.823817 4000.000
weighted avg 0.870557 0.871000 0.870772 4000.000
0.1435	3.0	3000	0.4823	0.8301	0.8772	0.7388	0.8792	[[2834 196]
[ 287 683]]	[[0.93531353 0.06468647]
[0.29587629 0.70412371]]	precision recall f1-score support
0 0.908042 0.935314 0.921476 3030.00000
1 0.777019 0.704124 0.738778 970.00000
accuracy 0.879250 0.879250 0.879250 0.87925
macro avg 0.842531 0.819719 0.830127 4000.00000
weighted avg 0.876269 0.879250 0.877172 4000.00000