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gokuls/
hBERTv1_new_pretrain_w_init_48_qnli

Name: hBERTv1_new_pretrain_w_init_48_qnli
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hBERTv1_new_pretrain_w_init_48_qnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48 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
0.615	1.0	819	0.5774	0.7040
0.5092	2.0	1638	0.4735	0.7818
0.4554	3.0	2457	0.4670	0.7862
0.4041	4.0	3276	0.4881	0.7807
0.3567	5.0	4095	0.4527	0.7935
0.3218	6.0	4914	0.5325	0.7820
0.2864	7.0	5733	0.5454	0.7829
0.2482	8.0	6552	0.5526	0.7701
0.2146	9.0	7371	0.5932	0.7835
0.1825	10.0	8190	0.6240	0.7752