hbertv1-tiny-wt-48-Massive-intent – AI Model by gokuls | AlphaNeural AI

You can deploy this model and start earning money today!

gokuls/
hbertv1-tiny-wt-48-Massive-intent

like

0

text-classification

generated_from_trainer

gokuls/model_v1_complete_training_wt_init_48_tiny

autotrain_compatible

endpoints_compatible

Views

No views yet

hbertv1-tiny-wt-48-Massive-intent

This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_tiny on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.8676
Accuracy: 0.7723

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
3.7161	1.0	180	3.1936	0.2499
2.8544	2.0	360	2.3660	0.4058
2.2122	3.0	540	1.8566	0.5430
1.7979	4.0	720	1.5269	0.6370
1.5083	5.0	900	1.3016	0.6911
1.3044	6.0	1080	1.1672	0.7098
1.1652	7.0	1260	1.0709	0.7270
1.0703	8.0	1440	1.0045	0.7432
0.996	9.0	1620	0.9595	0.7511
0.9323	10.0	1800	0.9276	0.7550
0.8832	11.0	1980	0.9183	0.7565
0.8521	12.0	2160	0.8953	0.7649
0.8246	13.0	2340	0.8829	0.7649
0.8072	14.0	2520	0.8676	0.7723
0.7947	15.0	2700	0.8657	0.7708

Framework versions

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