ingredients_classification_model_test

CDRI-Eddy/ingredients_classification_model_test

ingredients_classification_model_test is a text classification model from CDRI-Eddy. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

2% of all-time downloads

All-time downloads

283

Public

Parameters

67M

536 MB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors268 MB · 100%

At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: distilbert
Access: Public
Created: Mar 4, 2024
Updated: Mar 4, 2024
SHA: adcdf67b

Try a prompt

Base models

Model card

From the Hugging Face model README

ingredients_classification_model_test

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1868
Accuracy: 0.9385

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	0.2073	0.9385
No log	2.0	274	0.1868	0.9385

Framework versions

Transformers 4.35.0
Pytorch 2.1.0
Datasets 2.14.6
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: distilbert
License: apache-2.0
Created: Mar 4, 2024
Updated: Mar 4, 2024