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shreyashvora/
lbl-file16-fold0

Name: lbl-file16-fold0
Availability: InStock

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lbl-file16-fold0

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Accuracy Label Label 0	Accuracy Label Label 1	Accuracy Label Label 2	Accuracy Label Label 3	Accuracy Label Label 4	Accuracy Label Label 5	Accuracy Label Label 6	Accuracy Label Label 7	Accuracy Label Label 8	Accuracy Label Label 9
No log	0.16	25	1.6251	0.4532	0.4530	0.5067	0.4532	0.7004	0.3942	0.2239	0.75	0.3944	0.3930	0.4054	0.1512	0.564	0.5506
No log	0.32	50	1.5700	0.4768	0.4740	0.5084	0.4768	0.7206	0.4357	0.2703	0.7463	0.5458	0.3930	0.4730	0.1357	0.552	0.4980
No log	0.48	75	1.5437	0.4832	0.4774	0.5019	0.4832	0.7368	0.4606	0.2973	0.7463	0.5817	0.3891	0.4865	0.1279	0.552	0.4575
No log	0.64	100	1.5274	0.4884	0.4822	0.5039	0.4884	0.7287	0.4730	0.3089	0.7463	0.5896	0.4047	0.5045	0.1318	0.552	0.4494
No log	0.8	125	1.5183	0.4912	0.4850	0.5055	0.4912	0.7287	0.4730	0.3089	0.7537	0.5896	0.4163	0.5225	0.1395	0.556	0.4291
No log	0.96	150	1.5147	0.4916	0.4847	0.5042	0.4916	0.7328	0.4772	0.3050	0.7575	0.5896	0.4163	0.5225	0.1357	0.556	0.4291