mobilebert_sa_GLUE_Experiment_mrpc_256

This model is a fine-tuned version of google/mobilebert-uncased on the GLUE MRPC 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	Accuracy	F1	Combined Score
0.6431	1.0	29	0.6261	0.6838	0.8122	0.7480
0.6296	2.0	58	0.6235	0.6838	0.8122	0.7480
0.6306	3.0	87	0.6237	0.6838	0.8122	0.7480
0.6297	4.0	116	0.6238	0.6838	0.8122	0.7480
0.6276	5.0	145	0.6207	0.6838	0.8122	0.7480
0.6197	6.0	174	0.6213	0.6838	0.8122	0.7480
0.6065	7.0	203	0.6284	0.6912	0.8043	0.7478
0.5258	8.0	232	0.6111	0.6912	0.7948	0.7430
0.4596	9.0	261	0.6506	0.7034	0.8052	0.7543
0.3953	10.0	290	0.7271	0.7034	0.7932	0.7483
0.3426	11.0	319	0.9509	0.6740	0.7542	0.7141
0.2821	12.0	348	1.0021	0.6863	0.7808	0.7335
0.2177	13.0	377	1.0359	0.6691	0.7676	0.7184

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