metadata

license: apache-2.0
base_model: distilbert-base-uncased
tags:
  - generated_from_trainer
  - pytorch
metrics:
  - accuracy
model-index:
  - name: ingredients_classification_model
    results: []
language:
  - en
pipeline_tag: text-classification

ingredients_classification_model

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

Loss: 0.0871
Accuracy: 0.9672

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	137	0.0897	0.9672
No log	2.0	274	0.0871	0.9672

Framework versions

Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1