catbreed

harish03/catbreed

catbreed is a image classification model from harish03. 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 16, 2023
Updated: Jul 22, 2023
SHA: 204c31a2

Datasets

catbreed

Model card

From the Hugging Face model README

catbreed

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

Loss: 0.7210
Accuracy: 0.9252

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
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1329	0.99	29	1.7492	0.8376
1.3437	1.98	58	1.1638	0.9038
0.9266	2.97	87	0.9013	0.8974
0.7274	4.0	117	0.7345	0.9338
0.6652	4.96	145	0.7210	0.9252

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Apr 16, 2023
Updated: Jul 22, 2023