hbertv2-Massive-intent-48-emb-comp-gelu – AI Model by gokuls | AlphaNeural AI

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gokuls/
hbertv2-Massive-intent-48-emb-comp-gelu

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text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48_gelu

autotrain_compatible

endpoints_compatible

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hbertv2-Massive-intent-48-emb-comp-gelu

This model is a fine-tuned version of gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48_gelu on the massive dataset. It achieves the following results on the evaluation set:

Loss: 1.0025
Accuracy: 0.8421

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
1.9202	1.0	180	1.0767	0.7068
0.9104	2.0	360	0.9209	0.7482
0.6425	3.0	540	0.8343	0.7821
0.4854	4.0	720	0.8159	0.7954
0.3682	5.0	900	0.8154	0.8077
0.272	6.0	1080	0.8417	0.7993
0.204	7.0	1260	0.7931	0.8155
0.1363	8.0	1440	0.8740	0.8195
0.1016	9.0	1620	0.8993	0.8205
0.0689	10.0	1800	0.9309	0.8210
0.0478	11.0	1980	0.9877	0.8318
0.0254	12.0	2160	1.0041	0.8293
0.0133	13.0	2340	0.9982	0.8396
0.0068	14.0	2520	1.0049	0.8406
0.005	15.0	2700	1.0025	0.8421

Framework versions

Transformers 4.31.0
Pytorch 1.14.0a0+410ce96
Datasets 2.13.1
Tokenizers 0.13.3