mobilebert_sa_GLUE_Experiment_logit_kd_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
0.6315	1.0	29	0.5588	0.6838	0.8122	0.7480
0.6098	2.0	58	0.5552	0.6838	0.8122	0.7480
0.6099	3.0	87	0.5544	0.6838	0.8122	0.7480
0.6084	4.0	116	0.5541	0.6838	0.8122	0.7480
0.603	5.0	145	0.5497	0.6838	0.8122	0.7480
0.5758	6.0	174	0.5335	0.7059	0.8171	0.7615
0.4984	7.0	203	0.4961	0.6912	0.7968	0.7440
0.4329	8.0	232	0.5478	0.6814	0.7743	0.7278
0.3876	9.0	261	0.5450	0.6838	0.7861	0.7349
0.3286	10.0	290	0.5792	0.6814	0.7628	0.7221
0.2833	11.0	319	0.5819	0.6446	0.7249	0.6847
0.2611	12.0	348	0.6755	0.6936	0.7913	0.7425

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