BERT_token_classification_AraiEval24_Eng_multi

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Model description

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.0876	1.0	1022	1.2027	0.1635	0.0185	0.0333	0.7421
0.9132	2.0	2044	1.1484	0.1495	0.0281	0.0473	0.7401
0.8007	3.0	3066	1.1948	0.1223	0.0517	0.0726	0.7198
0.6898	4.0	4088	1.2544	0.1080	0.0515	0.0697	0.7015
0.5841	5.0	5110	1.2430	0.0989	0.0573	0.0726	0.7140
0.5144	6.0	6132	1.2840	0.1096	0.0561	0.0742	0.7127
0.4585	7.0	7154	1.3193	0.1147	0.0700	0.0869	0.7073
0.4004	8.0	8176	1.4146	0.1177	0.0643	0.0832	0.7186
0.3723	9.0	9198	1.4219	0.1162	0.0741	0.0905	0.7123
0.3401	10.0	10220	1.4302	0.1128	0.0727	0.0884	0.7112

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