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gokuls/
hBERTv2_new_pretrain_w_init_48_mrpc

Name: hBERTv2_new_pretrain_w_init_48_mrpc
Rating: 2.5 (5 reviews)

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hBERTv2_new_pretrain_w_init_48_mrpc

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_wt_init_48 on the GLUE MRPC 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	F1	Combined Score
0.6532	1.0	29	0.6271	0.6838	0.8072	0.7455
0.6168	2.0	58	0.5971	0.6814	0.8060	0.7437
0.5766	3.0	87	0.5938	0.6961	0.7912	0.7437
0.5304	4.0	116	0.6174	0.7059	0.8039	0.7549
0.4622	5.0	145	0.6873	0.6789	0.7753	0.7271
0.3228	6.0	174	0.7267	0.6887	0.7894	0.7391
0.2028	7.0	203	0.9771	0.7010	0.7875	0.7442
0.1406	8.0	232	1.1768	0.6789	0.7714	0.7252