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

You can deploy this model and start earning money today!

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

like

0

text-classification

generated_from_trainer

gokuls/model_v1_complete_training_wt_init_48_small_emb_comp_frz

autotrain_compatible

endpoints_compatible

Views

No views yet

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

This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_small_emb_comp_frz on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.6512
Accuracy: 0.8382

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
2.3044	1.0	180	1.1025	0.7167
0.8662	2.0	360	0.7731	0.7934
0.5469	3.0	540	0.6981	0.8224
0.357	4.0	720	0.6512	0.8382
0.228	5.0	900	0.6980	0.8254
0.1435	6.0	1080	0.7169	0.8278
0.0863	7.0	1260	0.7441	0.8323
0.0534	8.0	1440	0.7516	0.8382
0.0334	9.0	1620	0.8162	0.8357

Framework versions

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