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gokuls/
hBERTv2_new_pretrain_48_emb_com_wnli

Name: hBERTv2_new_pretrain_48_emb_com_wnli
Rating: 2.5 (5 reviews)

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hBERTv2_new_pretrain_48_emb_com_wnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48 on the GLUE WNLI 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
0.9415	1.0	5	0.7306	0.4366
0.7146	2.0	10	0.7870	0.4366
0.7207	3.0	15	0.7136	0.4225
0.6988	4.0	20	0.7277	0.4366
0.7058	5.0	25	0.7434	0.4366
0.7171	6.0	30	0.6963	0.4366
0.7007	7.0	35	0.6897	0.5634
0.7085	8.0	40	0.6900	0.5634
0.7282	9.0	45	0.6929	0.5634
0.695	10.0	50	0.6970	0.4366
0.6939	11.0	55	0.6868	0.5634
0.6955	12.0	60	0.6904	0.5634
0.6934	13.0	65	0.7015	0.4366
0.6974	14.0	70	0.6964	0.4366
0.695	15.0	75	0.6904	0.5634
0.7003	16.0	80	0.6981	0.4366