emotion_classification

nailashfrni/emotion_classification

emotion_classification is a image classification model from nailashfrni. Use it when you need a label for an image. 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

0% of all-time downloads

All-time downloads

413

Public

Repo size

2.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin343 MB · 100%

At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Sep 17, 2023
Updated: Sep 17, 2023
SHA: 54c09636

Base models

google/vit-base-patch16-224-in21k

Datasets

imagefolder

Model card

From the Hugging Face model README

emotion_classification

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 1.4178
Accuracy: 0.5188

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	40	1.3316	0.4562
No log	2.0	80	1.3601	0.5
No log	3.0	120	1.2794	0.5563
No log	4.0	160	1.3851	0.5
No log	5.0	200	1.4786	0.4625
No log	6.0	240	1.4805	0.4875
No log	7.0	280	1.4581	0.4813
No log	8.0	320	1.4258	0.525
No log	9.0	360	1.5452	0.5
No log	10.0	400	1.3624	0.575

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Sep 17, 2023
Updated: Sep 17, 2023