metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: food_type_classification_model
    results: []

food_type_classification_model

Easily classify any food product into Plant-based(PLANT_BASED) or Animal-based(ANIMAL_BASED) based on ingredients or product title.

This model was trained using a dataset from USDA FoodData Central which contains the ANIMAL_BASED and PLANT_BASED classification labels based on the available protein type in a food product.

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

Loss: 0.0249
Accuracy: 0.9940

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: 2e-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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	336	0.0351	0.9933
0.0711	2.0	672	0.0249	0.9940

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.15.0
Tokenizers 0.15.0