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gokuls/
hBERTv1_new_pretrain_qnli

Name: hBERTv1_new_pretrain_qnli
Availability: InStock

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hBERTv1_new_pretrain_qnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new on the GLUE QNLI 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
0.6783	1.0	819	0.6740	0.5861
0.6609	2.0	1638	0.6591	0.6031
0.6594	3.0	2457	0.6743	0.5923
0.6438	4.0	3276	0.6644	0.5876
0.6421	5.0	4095	0.6731	0.5883
0.6488	6.0	4914	0.6720	0.5936
0.6432	7.0	5733	0.6781	0.5923