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lupobricco/
target_classification_ita

Name: target_classification_ita
Availability: InStock

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target_classification_ita

This model is a fine-tuned version of Musixmatch/umberto-commoncrawl-cased-v1 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	F1	Roc Auc	Accuracy
0.5508	1.0	1037	0.5281	0.6704	0.7301	0.6151
0.4816	2.0	2074	0.4964	0.7109	0.7631	0.6770
0.4004	3.0	3111	0.5246	0.7299	0.7743	0.6701
0.3353	4.0	4148	0.5791	0.7310	0.7767	0.6718
0.2731	5.0	5185	0.6432	0.7407	0.7843	0.6735
0.2271	6.0	6222	0.6896	0.7248	0.7710	0.6460
0.1842	7.0	7259	0.7441	0.7271	0.7757	0.6667
0.15	8.0	8296	0.8640	0.7301	0.7769	0.6632
0.1123	9.0	9333	0.9447	0.7356	0.7812	0.6701
0.0973	10.0	10370	0.9652	0.7310	0.7773	0.6632