Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.637	1.0	15	0.6242	0.6838	0.8122	0.7480
0.629	2.0	30	0.6240	0.6838	0.8122	0.7480
0.6302	3.0	45	0.6248	0.6838	0.8122	0.7480
0.63	4.0	60	0.6241	0.6838	0.8122	0.7480
0.6323	5.0	75	0.6240	0.6838	0.8122	0.7480
0.6299	6.0	90	0.6243	0.6838	0.8122	0.7480
0.6325	7.0	105	0.6239	0.6838	0.8122	0.7480
0.6301	8.0	120	0.6239	0.6838	0.8122	0.7480
0.6324	9.0	135	0.6240	0.6838	0.8122	0.7480
0.6293	10.0	150	0.6240	0.6838	0.8122	0.7480
0.6307	11.0	165	0.6239	0.6838	0.8122	0.7480
0.6302	12.0	180	0.6240	0.6838	0.8122	0.7480
0.6338	13.0	195	0.6237	0.6838	0.8122	0.7480
0.6281	14.0	210	0.6225	0.6838	0.8122	0.7480
0.6263	15.0	225	0.6183	0.6838	0.8122	0.7480
0.6017	16.0	240	0.5932	0.7108	0.8234	0.7671
0.5213	17.0	255	0.6146	0.6642	0.7540	0.7091
0.4383	18.0	270	0.6405	0.6912	0.7842	0.7377
0.3903	19.0	285	0.6910	0.6912	0.7872	0.7392
0.363	20.0	300	0.7221	0.6544	0.7374	0.6959
0.3306	21.0	315	0.7583	0.6863	0.7808	0.7335

gokuls/distilbert_add_GLUE_Experiment_mrpc_256

distilbert_add_GLUE_Experiment_mrpc_256