minilm-finetuned-yelp – AI Model by kaitou | AlphaNeural AI

You can deploy this model and start earning money today!

kaitou/
minilm-finetuned-yelp

like

0

text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

Views

No views yet

minilm-finetuned-yelp

This model is a fine-tuned version of microsoft/MiniLM-L12-H384-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1838
F1: 0.9467

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: 16
eval_batch_size: 16
seed: 42
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	F1
0.858	1.0	15565	0.7554	0.6474
0.7528	2.0	31130	0.6906	0.6960
0.7071	3.0	46695	0.6578	0.7273
0.6654	4.0	62260	0.5850	0.7585
0.6229	5.0	77825	0.5386	0.7825
0.5796	6.0	93390	0.4821	0.8188
0.5367	7.0	108955	0.4254	0.8423
0.4962	8.0	124520	0.3792	0.8696
0.4574	9.0	140085	0.3364	0.8843
0.4222	10.0	155650	0.2893	0.9042
0.3903	11.0	171215	0.2582	0.9167
0.3626	12.0	186780	0.2286	0.9283
0.3386	13.0	202345	0.2029	0.9392
0.3213	14.0	217910	0.1912	0.9443
0.3063	15.0	233475	0.1838	0.9467

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.11.0
Tokenizers 0.13.2