hBERTv2_new_pretrain_48_ver2_qnli – AI Model by gokuls | AlphaNeural AI

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gokuls/
hBERTv2_new_pretrain_48_ver2_qnli

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text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v2_complete_training_new_48

autotrain_compatible

endpoints_compatible

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hBERTv2_new_pretrain_48_ver2_qnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_48 on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.6731
Accuracy: 0.5839

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: 64
eval_batch_size: 64
seed: 10
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6905	1.0	1637	0.6830	0.5724
0.6788	2.0	3274	0.6778	0.5812
0.6699	3.0	4911	0.6731	0.5839
0.6711	4.0	6548	0.6835	0.5678
0.6723	5.0	8185	0.6852	0.5546
0.674	6.0	9822	0.6818	0.5678
0.6679	7.0	11459	0.6759	0.5737
0.6681	8.0	13096	0.6932	0.5329

Framework versions

Transformers 4.34.0
Pytorch 1.14.0a0+410ce96
Datasets 2.14.5
Tokenizers 0.14.1