HBERTv1_48_L2_H512_A8_massive – AI Model by gokuls | AlphaNeural AI

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gokuls/
HBERTv1_48_L2_H512_A8_massive

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text-classification

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gokuls/HBERTv1_48_L2_H512_A8

autotrain_compatible

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HBERTv1_48_L2_H512_A8_massive

This model is a fine-tuned version of gokuls/HBERTv1_48_L2_H512_A8 on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.6783
Accuracy: 0.8618

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
2.0702	1.0	180	0.9458	0.7580
0.8247	2.0	360	0.6590	0.8234
0.5566	3.0	540	0.5933	0.8421
0.4096	4.0	720	0.5707	0.8529
0.3044	5.0	900	0.5893	0.8465
0.2319	6.0	1080	0.6023	0.8455
0.1782	7.0	1260	0.5828	0.8559
0.1356	8.0	1440	0.6171	0.8598
0.1048	9.0	1620	0.6322	0.8534
0.0806	10.0	1800	0.6544	0.8524
0.0648	11.0	1980	0.6718	0.8603
0.0516	12.0	2160	0.6737	0.8569
0.0383	13.0	2340	0.6783	0.8618
0.033	14.0	2520	0.7045	0.8534
0.0277	15.0	2700	0.7029	0.8564

Framework versions

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