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gokuls/
hBERTv1_new_pretrain_48_emb_com_mnli

Name: hBERTv1_new_pretrain_48_emb_com_mnli
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hBERTv1_new_pretrain_48_emb_com_mnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_emb_compress_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
1.1073	1.0	3068	1.1024	0.3182
1.101	2.0	6136	1.1015	0.3274
1.0999	3.0	9204	1.1011	0.3182
1.0997	4.0	12272	1.0980	0.3322
1.0979	5.0	15340	1.0973	0.3326
1.0974	6.0	18408	1.0973	0.3353
1.0972	7.0	21476	1.0988	0.3299
1.0972	8.0	24544	1.0975	0.3419
1.0971	9.0	27612	1.0976	0.3363
1.0971	10.0	30680	1.0976	0.3370