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gokuls/
hBERTv2_new_pretrain_qqp

Name: hBERTv2_new_pretrain_qqp
Availability: InStock

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hBERTv2_new_pretrain_qqp

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new 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
0.5303	1.0	2843	0.4893	0.7608	0.6250	0.6929
0.4677	2.0	5686	0.4781	0.7773	0.6831	0.7302
0.4229	3.0	8529	0.4399	0.7903	0.7137	0.7520
0.3712	4.0	11372	0.4426	0.8018	0.7163	0.7590
0.3268	5.0	14215	0.4515	0.8107	0.7348	0.7728
0.2925	6.0	17058	0.5221	0.8119	0.7227	0.7673
0.2614	7.0	19901	0.4518	0.8058	0.7527	0.7792
0.2389	8.0	22744	0.5231	0.8134	0.7601	0.7868