hBERTv1_new_pretrain_w_init_48_ver2_qnli – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
hBERTv1_new_pretrain_w_init_48_ver2_qnli

like

0

text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48

autotrain_compatible

endpoints_compatible

Views

No views yet

hBERTv1_new_pretrain_w_init_48_ver2_qnli

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48 on the GLUE QNLI dataset. It achieves the following results on the evaluation set:

Loss: 0.6931
Accuracy: 0.5054

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
0.7034	1.0	1637	0.6952	0.5054
0.6953	2.0	3274	0.6950	0.4946
0.694	3.0	4911	0.6932	0.4946
0.6934	4.0	6548	0.6931	0.5054
0.6936	5.0	8185	0.6936	0.4946
0.6933	6.0	9822	0.6931	0.5054
0.6933	7.0	11459	0.6931	0.4946
0.6932	8.0	13096	0.6932	0.4946
0.6933	9.0	14733	0.6932	0.4946

Framework versions

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