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gokuls/
hBERTv1_new_pretrain_w_init_48_mnli

Name: hBERTv1_new_pretrain_w_init_48_mnli
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hBERTv1_new_pretrain_w_init_48_mnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48 on the GLUE MNLI 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
1.031	1.0	3068	0.9883	0.4718
0.9713	2.0	6136	0.9752	0.5146
0.9588	3.0	9204	0.9702	0.5167
0.953	4.0	12272	0.9590	0.5355
0.9323	5.0	15340	0.9371	0.5416
0.9068	6.0	18408	0.9213	0.5590
0.8891	7.0	21476	0.9168	0.5608
0.8741	8.0	24544	0.9472	0.5453
0.8589	9.0	27612	0.9185	0.5793
0.8432	10.0	30680	0.9134	0.5747
0.8289	11.0	33748	0.9139	0.5753
0.8137	12.0	36816	0.9113	0.5767
0.7988	13.0	39884	0.8925	0.5917
0.7828	14.0	42952	0.9037	0.5859
0.7705	15.0	46020	0.9129	0.5866
0.7576	16.0	49088	0.9237	0.5879
0.7463	17.0	52156	0.9212	0.5897
0.7341	18.0	55224	0.9226	0.5918