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shreyashvora/
ft_checkpoint-checkpoint-0-3

Name: ft_checkpoint-checkpoint-0-3
Availability: InStock

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ft_checkpoint-checkpoint-0-3

This model is a fine-tuned version of distilbert-base-uncased 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 Hip-hop	Accuracy Label Metal	Accuracy Label Pop	Accuracy Label R&b	Accuracy Label Rock
0.9132	0.12	125	1.4600	0.4846	0.4137	0.4717	0.4846	0.0	0.0	0.3353	0.0	0.9259
0.855	0.24	250	1.3577	0.5521	0.4918	0.4888	0.5521	0.0	0.0	0.5242	0.0	0.8805
0.8017	0.36	375	1.2138	0.6105	0.5609	0.5556	0.6105	0.0	0.1804	0.6784	0.0	0.8205
0.8123	0.48	500	1.1672	0.6061	0.5597	0.5676	0.6061	0.0	0.2402	0.6166	0.0437	0.8720
0.7585	0.6	625	1.1320	0.6375	0.5883	0.5935	0.6375	0.1777	0.1907	0.7586	0.0164	0.7873
0.7096	0.73	750	1.0917	0.6472	0.6027	0.6000	0.6472	0.1860	0.2944	0.7254	0.0328	0.8353
0.6976	0.85	875	1.0756	0.6561	0.6149	0.6101	0.6561	0.5579	0.3327	0.7099	0.0273	0.8574
0.7036	0.97	1000	1.0786	0.6551	0.6135	0.6164	0.6551	0.4752	0.3131	0.7003	0.0437	0.8725