hbertv1-Massive-intent-48-emb-comp-gelu – AI Model by gokuls | AlphaNeural AI

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gokuls/
hbertv1-Massive-intent-48-emb-comp-gelu

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text-classification

generated_from_trainer

gokuls/bert_12_layer_model_v1_complete_training_new_emb_compress_48_gelu

autotrain_compatible

endpoints_compatible

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hbertv1-Massive-intent-48-emb-comp-gelu

This model is a fine-tuned version of gokuls/bert_12_layer_model_v1_complete_training_new_emb_compress_48_gelu on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.9566
Accuracy: 0.8028

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
3.4622	1.0	180	3.0181	0.2169
2.7526	2.0	360	2.4760	0.3168
2.188	3.0	540	1.9627	0.4368
1.7069	4.0	720	1.5603	0.5568
1.3045	5.0	900	1.3354	0.6345
1.0621	6.0	1080	1.1726	0.6862
0.8745	7.0	1260	1.0703	0.7226
0.7286	8.0	1440	0.9905	0.7516
0.6005	9.0	1620	0.9881	0.7644
0.5021	10.0	1800	0.9661	0.7732
0.4208	11.0	1980	0.9621	0.7787
0.3524	12.0	2160	0.9480	0.7939
0.282	13.0	2340	0.9614	0.7924
0.2327	14.0	2520	0.9525	0.7969
0.1912	15.0	2700	0.9566	0.8028

Framework versions

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