HBERTv1_48_L2_H256_A4_massive – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
HBERTv1_48_L2_H256_A4_massive

like

0

text-classification

generated_from_trainer

gokuls/HBERTv1_48_L2_H256_A4

autotrain_compatible

endpoints_compatible

Views

No views yet

HBERTv1_48_L2_H256_A4_massive

This model is a fine-tuned version of gokuls/HBERTv1_48_L2_H256_A4 on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.6816
Accuracy: 0.8362

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: 5e-05
train_batch_size: 64
eval_batch_size: 64
seed: 33
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
3.0609	1.0	180	2.0828	0.5416
1.7322	2.0	360	1.2770	0.6995
1.1671	3.0	540	0.9723	0.7521
0.8923	4.0	720	0.8411	0.7723
0.7282	5.0	900	0.7748	0.7890
0.6334	6.0	1080	0.7396	0.8042
0.5372	7.0	1260	0.7192	0.8146
0.4854	8.0	1440	0.7008	0.8229
0.4327	9.0	1620	0.6971	0.8224
0.3975	10.0	1800	0.6840	0.8323
0.3598	11.0	1980	0.6947	0.8313
0.334	12.0	2160	0.6791	0.8337
0.317	13.0	2340	0.6859	0.8323
0.2969	14.0	2520	0.6816	0.8347
0.2918	15.0	2700	0.6816	0.8362

Framework versions

Transformers 4.34.0
Pytorch 1.14.0a0+410ce96
Datasets 2.14.5
Tokenizers 0.14.0