emotion_finetuned_model

B0yc4kra/emotion_finetuned_model

emotion_finetuned_model is a image classification model from B0yc4kra. 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. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Sep 17, 2023
Updated: Sep 18, 2023
SHA: ea970e54

Base models

google/vit-base-patch16-224-in21k

Datasets

imagefolder

Model card

From the Hugging Face model README

emotion_finetuned_model

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: 1.3507
Accuracy: 0.5

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: 32
eval_batch_size: 64
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	20	1.6393	0.4875
No log	2.0	40	1.5461	0.4875
No log	3.0	60	1.4809	0.4938
No log	4.0	80	1.4289	0.4813
No log	5.0	100	1.3878	0.4875
No log	6.0	120	1.3792	0.4813
No log	7.0	140	1.3507	0.5
No log	8.0	160	1.3376	0.4938
No log	9.0	180	1.3379	0.4875
No log	10.0	200	1.3305	0.5

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 18, 2023