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

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

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text-classification

generated_from_trainer

gokuls/model_v1_complete_training_wt_init_48_tiny_emb_comp

autotrain_compatible

endpoints_compatible

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

This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_tiny_emb_comp on the massive dataset. It achieves the following results on the evaluation set:

Loss: 0.8545
Accuracy: 0.7900

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
3.6847	1.0	180	3.2207	0.2710
2.7795	2.0	360	2.3154	0.4471
2.0459	3.0	540	1.7680	0.5627
1.5874	4.0	720	1.4363	0.6734
1.2902	5.0	900	1.2306	0.7127
1.0905	6.0	1080	1.1068	0.7373
0.9468	7.0	1260	1.0113	0.7545
0.844	8.0	1440	0.9661	0.7580
0.7684	9.0	1620	0.9333	0.7649
0.7086	10.0	1800	0.9018	0.7772
0.6629	11.0	1980	0.8807	0.7831
0.6244	12.0	2160	0.8747	0.7796
0.5965	13.0	2340	0.8591	0.7875
0.5731	14.0	2520	0.8634	0.7875
0.5633	15.0	2700	0.8545	0.7900

Framework versions

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