platzi-vit-model-arturo-guerrero

arturoxdev/platzi-vit-model-arturo-guerrero

platzi-vit-model-arturo-guerrero is a image classification model from arturoxdev. 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: Apr 26, 2024
Updated: Apr 26, 2024
SHA: 40506a09

Model card

From the Hugging Face model README

platzi-vit-model-arturo-guerrero

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

Loss: 9.5298
Accuracy: 0.0827

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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2772	0.82	500	7.9073	0.0655
0.1109	1.64	1000	8.2218	0.0799
0.0453	2.46	1500	8.6023	0.0863
0.0295	3.28	2000	8.6855	0.0806
0.0172	4.11	2500	8.8657	0.0820
0.0071	4.93	3000	9.1984	0.0827
0.0048	5.75	3500	9.3593	0.0806
0.0029	6.57	4000	9.4728	0.0820
0.0045	7.39	4500	9.5298	0.0827

Framework versions

Transformers 4.30.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Apr 26, 2024
Updated: Apr 26, 2024