Modelpublic

jcharlie39/learn_Hugging_Face_Food_Classification_Model_using_Distilbert_Uncased_Model

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

0likes4downloads

Model Card

learnHuggingFaceFoodClassificationModelusingDistilbertUncased_Model

This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

—Loss: 0.0005
—Accuracy: 1.0

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: 0.0001
—trainbatchsize: 32
—evalbatchsize: 32
—seed: 42
—optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
—lrschedulertype: linear
—num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4261	1.0	7	0.0960	0.98
0.0479	2.0	14	0.0080	1.0
0.0054	3.0	21	0.0025	1.0
0.0021	4.0	28	0.0013	1.0
0.0012	5.0	35	0.0009	1.0
0.0009	6.0	42	0.0007	1.0
0.0008	7.0	49	0.0006	1.0
0.0007	8.0	56	0.0006	1.0
0.0006	9.0	63	0.0005	1.0
0.0006	10.0	70	0.0005	1.0

Framework versions

—Transformers 4.55.0
—Pytorch 2.6.0+cu124
—Datasets 4.0.0
—Tokenizers 0.21.4