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gokuls/
hBERTv2_new_pretrain_w_init_48_mnli

Name: hBERTv2_new_pretrain_w_init_48_mnli
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hBERTv2_new_pretrain_w_init_48_mnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_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
0.9886	1.0	3068	0.8886	0.6062
0.7987	2.0	6136	0.7297	0.6876
0.6963	3.0	9204	0.6939	0.7117
0.6249	4.0	12272	0.6649	0.7244
0.5633	5.0	15340	0.6887	0.7289
0.5075	6.0	18408	0.6931	0.7329
0.4547	7.0	21476	0.6907	0.7326
0.4109	8.0	24544	0.7298	0.7333
0.3636	9.0	27612	0.7582	0.7340