vit-base-patch16-224-finetune_test

CEBangu/vit-base-patch16-224-finetune_test

vit-base-patch16-224-finetune_test is a machine learning model from CEBangu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Feb 25, 2025
Updated: Feb 26, 2025
SHA: 67f31175

Base models

google/vit-base-patch16-224

Model card

From the Hugging Face model README

vit-base-patch16-224-finetune_test

This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1114
Accuracy: 0.3030

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: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.8421	4	1.1605	0.3333
No log	1.8947	9	1.1242	0.3333
1.1465	2.5263	12	1.1114	0.3030

Framework versions

Transformers 4.44.2
Pytorch 2.5.0.dev20240710
Datasets 3.3.2
Tokenizers 0.19.1

Library: transformers
Type: vit
License: apache-2.0
Created: Feb 25, 2025
Updated: Feb 26, 2025