mobilebert_sa_GLUE_Experiment_data_aug_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
0.1854	1.0	1959	0.0199	0.9975	0.9982	0.9979
0.04	2.0	3918	0.0050	0.9975	0.9982	0.9979
0.0253	3.0	5877	0.0015	1.0	1.0	1.0
0.0175	4.0	7836	0.0003	1.0	1.0	1.0
0.0134	5.0	9795	0.0001	1.0	1.0	1.0
0.0107	6.0	11754	0.0001	1.0	1.0	1.0
0.0081	7.0	13713	0.0012	1.0	1.0	1.0
0.0062	8.0	15672	0.0000	1.0	1.0	1.0
0.0061	9.0	17631	0.0001	1.0	1.0	1.0
0.0044	10.0	19590	0.0002	1.0	1.0	1.0
0.0041	11.0	21549	0.0000	1.0	1.0	1.0
0.0034	12.0	23508	0.0000	1.0	1.0	1.0
0.0029	13.0	25467	0.0000	1.0	1.0	1.0
0.0016	14.0	27426	0.0000	1.0	1.0	1.0
0.0019	15.0	29385	0.0140	0.9975	0.9982	0.9979
0.0018	16.0	31344	0.0001	1.0	1.0	1.0
0.0012	17.0	33303	0.0000	1.0	1.0	1.0
0.0013	18.0	35262	0.0000	1.0	1.0	1.0
0.0008	19.0	37221	0.0000	1.0	1.0	1.0
0.0011	20.0	39180	0.0000	1.0	1.0	1.0
0.0005	21.0	41139	0.0007	1.0	1.0	1.0
0.0009	22.0	43098	0.0000	1.0	1.0	1.0
0.0004	23.0	45057	0.0000	1.0	1.0	1.0
0.0004	24.0	47016	0.0000	1.0	1.0	1.0

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