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gokuls/
hBERTv1_new_pretrain_w_init__qnli

Name: hBERTv1_new_pretrain_w_init__qnli
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hBERTv1_new_pretrain_w_init__qnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_wt_init on the GLUE QNLI 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
0.6909	1.0	819	0.6783	0.5653
0.684	2.0	1638	0.6904	0.5100
0.6765	3.0	2457	0.6709	0.5881
0.6696	4.0	3276	0.6774	0.5695
0.6676	5.0	4095	0.6704	0.5903
0.6626	6.0	4914	0.6672	0.5986
0.6661	7.0	5733	0.6703	0.5907
0.6642	8.0	6552	0.6693	0.5960
0.6698	9.0	7371	0.6733	0.5799
0.6724	10.0	8190	0.6815	0.5636
0.68	11.0	9009	0.6908	0.5427