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sercetexam9/
BantuBERTa-vmw-finetuned-vmw-MICRO-finetuned-augmentation-LUNAR-TAPT-micro

Name: BantuBERTa-vmw-finetuned-vmw-MICRO-finetuned-augmentation-LUNAR-TAPT-micro
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BantuBERTa-vmw-finetuned-vmw-MICRO-finetuned-augmentation-LUNAR-TAPT-micro

This model is a fine-tuned version of sercetexam9/BantuBERTa-vmw-finetuned-vmw-MICRO 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
0.0976	1.0	169	0.0832	0.7877	0.8538	0.8603
0.0954	2.0	338	0.0827	0.7804	0.8586	0.8559
0.0741	3.0	507	0.0908	0.7896	0.8843	0.8544
0.063	4.0	676	0.1013	0.7048	0.8015	0.8187
0.0543	5.0	845	0.0973	0.7664	0.8646	0.8410
0.0546	6.0	1014	0.0998	0.7510	0.8527	0.8321
0.0516	7.0	1183	0.1034	0.7261	0.8329	0.8202