HBERTv1_48_L8_H768_A12_massive – AI Model by gokuls | AlphaNeural AI

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gokuls/
HBERTv1_48_L8_H768_A12_massive

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text-classification

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gokuls/HBERTv1_48_L8_H768_A12

autotrain_compatible

endpoints_compatible

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HBERTv1_48_L8_H768_A12_massive

This model is a fine-tuned version of gokuls/HBERTv1_48_L8_H768_A12 on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.8748
Accuracy: 0.8667

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
1.8167	1.0	180	0.8067	0.7846
0.7057	2.0	360	0.6923	0.8126
0.4613	3.0	540	0.6398	0.8406
0.3268	4.0	720	0.6181	0.8460
0.2406	5.0	900	0.6902	0.8382
0.1718	6.0	1080	0.6729	0.8539
0.1263	7.0	1260	0.7197	0.8470
0.0875	8.0	1440	0.7307	0.8623
0.06	9.0	1620	0.8116	0.8534
0.0494	10.0	1800	0.7662	0.8618
0.0271	11.0	1980	0.8777	0.8549
0.0189	12.0	2160	0.8954	0.8578
0.0113	13.0	2340	0.8748	0.8667
0.0055	14.0	2520	0.8829	0.8598
0.003	15.0	2700	0.8823	0.8613

Framework versions

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