Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.8495	1.0	29671	0.7150	0.6333	0.0086	0.3210
0.7654	2.0	59342	0.7273	0.6339	0.0121	0.3230
0.7305	3.0	89013	0.7241	0.6400	0.0479	0.3440
0.7108	4.0	118684	0.7147	0.6381	0.0380	0.3381
0.698	5.0	148355	0.7192	0.6414	0.0564	0.3489
0.6891	6.0	178026	0.7239	0.6357	0.0232	0.3295
0.6823	7.0	207697	0.7141	0.6442	0.0723	0.3583
0.6771	8.0	237368	0.7112	0.6491	0.1004	0.3748
0.6729	9.0	267039	0.7156	0.6494	0.1022	0.3758
0.6694	10.0	296710	0.7185	0.6502	0.1053	0.3777
0.6664	11.0	326381	0.7129	0.6508	0.1085	0.3796
0.6639	12.0	356052	0.7112	0.6508	0.1080	0.3794
0.6617	13.0	385723	0.7105	0.6542	0.1260	0.3901
0.6597	14.0	415394	0.7029	0.6540	0.1254	0.3897
0.658	15.0	445065	0.7094	0.6486	0.0964	0.3725
0.6564	16.0	474736	0.7072	0.6510	0.1084	0.3797
0.655	17.0	504407	0.7049	0.6557	0.1333	0.3945
0.6537	18.0	534078	0.7051	0.6542	0.1269	0.3905
0.6526	19.0	563749	0.7096	0.6601	0.1573	0.4087

gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qqp_192

distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qqp_192