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gokuls/
hBERTv2_new_pretrain_48_KD_qqp

Name: hBERTv2_new_pretrain_48_KD_qqp
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hBERTv2_new_pretrain_48_KD_qqp

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_48_KD on the GLUE QQP dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.5305	1.0	2843	0.4755	0.7733	0.6749	0.7241
0.4434	2.0	5686	0.4351	0.7950	0.7260	0.7605
0.3858	3.0	8529	0.4173	0.8063	0.7210	0.7637
0.3409	4.0	11372	0.4201	0.7998	0.7579	0.7788
0.303	5.0	14215	0.4274	0.8169	0.7577	0.7873
0.2727	6.0	17058	0.4403	0.8186	0.7638	0.7912
0.2449	7.0	19901	0.4160	0.8245	0.7649	0.7947
0.2241	8.0	22744	0.4429	0.8271	0.7518	0.7895
0.2054	9.0	25587	0.4941	0.8287	0.7659	0.7973
0.1905	10.0	28430	0.4992	0.8264	0.7744	0.8004
0.1768	11.0	31273	0.4901	0.8303	0.7686	0.7995
0.1655	12.0	34116	0.5513	0.8276	0.7446	0.7861