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gokuls/
hBERTv1_new_pretrain_48_KD_w_init_qnli

Name: hBERTv1_new_pretrain_48_KD_w_init_qnli
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hBERTv1_new_pretrain_48_KD_w_init_qnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_48_KD_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
0.671	1.0	819	0.6635	0.5852
0.6464	2.0	1638	0.6519	0.6141
0.6249	3.0	2457	0.6722	0.6035
0.6094	4.0	3276	0.6657	0.6072
0.5982	5.0	4095	0.6642	0.5997
0.5798	6.0	4914	0.6800	0.6125
0.5594	7.0	5733	0.7102	0.6172