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gokuls/
hBERTv1_new_pretrain_mnli

Name: hBERTv1_new_pretrain_mnli
Availability: InStock

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hBERTv1_new_pretrain_mnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new 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
1.1036	1.0	3068	1.0992	0.3182
1.0989	2.0	6136	1.0991	0.3182
1.099	3.0	9204	1.0985	0.3396
1.099	4.0	12272	1.0976	0.3182
1.0991	5.0	15340	1.0994	0.3182
1.0992	6.0	18408	1.0986	0.3545
1.0992	7.0	21476	1.0967	0.3274
1.0992	8.0	24544	1.0962	0.3545
1.0991	9.0	27612	1.1021	0.3182
1.099	10.0	30680	1.0981	0.3182
1.0992	11.0	33748	1.0980	0.3545
1.2036	12.0	36816	1.1016	0.3545
2.2296	13.0	39884	1.1016	0.3545