vit-base-cauliflower

chotePapa/vit-base-cauliflower

vit-base-cauliflower is a machine learning model from chotePapa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.

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

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Hugging Face

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At a glance

License: apache-2.0
Model type: vit
Access: Public
Created: Nov 19, 2024
Updated: Nov 19, 2024
SHA: a35dabbd

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

vit-base-beans

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: 0.0014
Accuracy: 1.0

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0532	0.3448	100	0.0277	0.9961
0.0518	0.6897	200	0.0330	0.9942
0.006	1.0345	300	0.0387	0.9923
0.004	1.3793	400	0.0696	0.9845
0.0032	1.7241	500	0.1609	0.9691
0.0026	2.0690	600	0.0025	1.0
0.0021	2.4138	700	0.0020	1.0
0.0018	2.7586	800	0.0017	1.0
0.0016	3.1034	900	0.0016	1.0
0.0015	3.4483	1000	0.0015	1.0
0.0014	3.7931	1100	0.0014	1.0

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: vit
License: apache-2.0
Created: Nov 19, 2024
Updated: Nov 19, 2024