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shreyashvora/
lbl-file16-fold4

Name: lbl-file16-fold4
Availability: InStock

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lbl-file16-fold4

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	1.3593	0.546	0.5364	0.5424	0.546	0.7686	0.6044	0.4810	0.7469	0.6838	0.4228	0.6617	0.1615	0.5408	0.3884
No log	0.32	50	1.3547	0.5508	0.5414	0.5486	0.5508	0.7851	0.5934	0.4979	0.7469	0.6838	0.4228	0.6766	0.1654	0.5365	0.4008
No log	0.48	75	1.3491	0.5516	0.5424	0.5482	0.5516	0.7934	0.5934	0.5021	0.7469	0.6877	0.4268	0.6691	0.1769	0.5408	0.3802
No log	0.64	100	1.3446	0.5524	0.5438	0.5500	0.5524	0.7769	0.5824	0.5063	0.7469	0.6877	0.4268	0.6691	0.1808	0.5579	0.3926
No log	0.8	125	1.3417	0.5524	0.5448	0.5509	0.5524	0.7727	0.5824	0.5063	0.7469	0.6877	0.4268	0.6691	0.1885	0.5622	0.3843
No log	0.96	150	1.3406	0.5528	0.5455	0.5517	0.5528	0.7686	0.5824	0.5063	0.7469	0.6877	0.4268	0.6691	0.1962	0.5622	0.3843