distilbert_sa_GLUE_Experiment_logit_kd_qqp_192

This model is a fine-tuned version of distilbert-base-uncased on the GLUE QQP 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
0.824	1.0	1422	0.7761	0.6318	0.0	0.3159
0.7581	2.0	2844	0.7544	0.6318	0.0	0.3159
0.7333	3.0	4266	0.7480	0.6318	0.0	0.3159
0.713	4.0	5688	0.7358	0.6318	0.0	0.3159
0.695	5.0	7110	0.7279	0.6365	0.0280	0.3323
0.6783	6.0	8532	0.7193	0.6370	0.0313	0.3341
0.6642	7.0	9954	0.7148	0.6332	0.0083	0.3208
0.6509	8.0	11376	0.7138	0.6409	0.0536	0.3472
0.639	9.0	12798	0.7084	0.6385	0.0398	0.3391
0.6287	10.0	14220	0.7117	0.6418	0.0591	0.3504
0.6195	11.0	15642	0.7064	0.6379	0.0363	0.3371
0.6101	12.0	17064	0.7079	0.6444	0.0725	0.3584
0.6023	13.0	18486	0.7059	0.6495	0.1028	0.3762
0.5948	14.0	19908	0.7103	0.6418	0.0577	0.3497
0.589	15.0	21330	0.7077	0.6415	0.0567	0.3491
0.5827	16.0	22752	0.7047	0.6401	0.0484	0.3442
0.5769	17.0	24174	0.7051	0.6409	0.0525	0.3467
0.572	18.0	25596	0.7090	0.6492	0.1017	0.3754
0.5673	19.0	27018	0.7078	0.6398	0.0467	0.3433
0.563	20.0	28440	0.7065	0.6427	0.0630	0.3529
0.5591	21.0	29862	0.7084	0.6464	0.0839	0.3651