mobilebert_sa_GLUE_Experiment_logit_kd_qqp_128

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE QQP dataset. It achieves the following results on the evaluation set:

Model description

More information needed

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More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.9518	1.0	2843	0.8352	0.7536	0.6530	0.7033
0.8249	2.0	5686	0.7766	0.7607	0.6219	0.6913
0.7847	3.0	8529	0.7625	0.7648	0.6402	0.7025
0.7498	4.0	11372	0.7551	0.7638	0.6197	0.6917
0.7137	5.0	14215	0.7387	0.7691	0.6545	0.7118
0.6762	6.0	17058	0.7165	0.7753	0.6720	0.7237
0.6373	7.0	19901	0.7042	0.7783	0.6765	0.7274
0.6045	8.0	22744	0.7075	0.7799	0.6902	0.7350
0.5729	9.0	25587	0.7233	0.7792	0.6639	0.7215
0.545	10.0	28430	0.7088	0.7805	0.7180	0.7493
0.5183	11.0	31273	0.6884	0.7872	0.7062	0.7467
0.4948	12.0	34116	0.7064	0.7869	0.7076	0.7472
0.4724	13.0	36959	0.7053	0.7884	0.7120	0.7502
0.4514	14.0	39802	0.7314	0.7903	0.7024	0.7464
0.4321	15.0	42645	0.7112	0.7891	0.7228	0.7560
0.4152	16.0	45488	0.7410	0.7909	0.7211	0.7560

加载中…