hBERTv1_no_pretrain_mrpc – AI Model by gokuls | AlphaNeural AI | AlphaNeural AI

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gokuls/
hBERTv1_no_pretrain_mrpc

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text-classification

generated_from_trainer

autotrain_compatible

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hBERTv1_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: 0.5915
Accuracy: 0.6985
F1: 0.8134
Combined Score: 0.7559

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: 96
eval_batch_size: 96
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
0.6615	1.0	39	0.5915	0.6985	0.8134	0.7559
0.5998	2.0	78	0.6102	0.6961	0.8160	0.7561
0.5278	3.0	117	0.6694	0.7010	0.8190	0.7600
0.4297	4.0	156	0.7610	0.6912	0.7961	0.7436
0.3108	5.0	195	0.8909	0.6348	0.7073	0.6710
0.2451	6.0	234	0.8302	0.6912	0.7934	0.7423

Framework versions

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