hBERTv2_new_no_pretrain_mrpc – AI Model by gokuls | AlphaNeural AI

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gokuls/
hBERTv2_new_no_pretrain_mrpc

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text-classification

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autotrain_compatible

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hBERTv2_new_no_pretrain_mrpc

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

Loss: 0.5914
Accuracy: 0.6838
F1: 0.7896
Combined Score: 0.7367

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 4e-05
train_batch_size: 128
eval_batch_size: 128
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Combined Score
0.6685	1.0	29	0.6107	0.6838	0.8122	0.7480
0.6337	2.0	58	0.5914	0.6838	0.7896	0.7367
0.529	3.0	87	0.6385	0.6642	0.7705	0.7174
0.4182	4.0	116	0.6619	0.6985	0.8051	0.7518
0.3095	5.0	145	1.0040	0.6471	0.7568	0.7019
0.2219	6.0	174	0.9458	0.6225	0.7094	0.6660
0.1813	7.0	203	1.1249	0.6838	0.7868	0.7353

Framework versions

Transformers 4.30.2
Pytorch 1.14.0a0+410ce96
Datasets 2.12.0
Tokenizers 0.13.3