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

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gokuls/
hbertv1-small-wt-48-Massive-intent-emb-comp

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text-classification

generated_from_trainer

gokuls/model_v1_complete_training_wt_init_48_small_emb_comp

autotrain_compatible

endpoints_compatible

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hbertv1-small-wt-48-Massive-intent-emb-comp

This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_small_emb_comp on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.8462
Accuracy: 0.8505

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
2.1467	1.0	180	1.0602	0.7393
0.8554	2.0	360	0.7646	0.7964
0.5593	3.0	540	0.6846	0.8239
0.3868	4.0	720	0.6673	0.8278
0.2613	5.0	900	0.6909	0.8259
0.1681	6.0	1080	0.7123	0.8278
0.1096	7.0	1260	0.7193	0.8318
0.0687	8.0	1440	0.7653	0.8337
0.0405	9.0	1620	0.7966	0.8308
0.0255	10.0	1800	0.8047	0.8441
0.0145	11.0	1980	0.8415	0.8426
0.0092	12.0	2160	0.8462	0.8505
0.0053	13.0	2340	0.8635	0.8465
0.0031	14.0	2520	0.8625	0.8475
0.0023	15.0	2700	0.8632	0.8480

Framework versions

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