You can deploy this model and start earning money today!

gokuls/
hBERTv2_new_pretrain_w_init_48_qqp

Name: hBERTv2_new_pretrain_w_init_48_qqp
Availability: InStock

Views

No views yet

hBERTv2_new_pretrain_w_init_48_qqp

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48 on the GLUE QQP dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.5585	1.0	2843	0.5073	0.7522	0.6429	0.6976
0.4735	2.0	5686	0.4584	0.7848	0.6963	0.7405
0.4044	3.0	8529	0.4140	0.8074	0.7234	0.7654
0.3583	4.0	11372	0.4206	0.8058	0.7602	0.7830
0.3271	5.0	14215	0.4082	0.8219	0.7658	0.7939
0.2987	6.0	17058	0.4203	0.8177	0.7666	0.7921
0.3287	7.0	19901	0.4641	0.8124	0.7209	0.7667
0.3594	8.0	22744	0.4493	0.8010	0.7246	0.7628
0.3729	9.0	25587	0.4443	0.8047	0.7388	0.7718
0.3314	10.0	28430	0.4196	0.8132	0.7411	0.7771