finetune-tomato-leaf

Amanaccessassist/finetune-tomato-leaf

finetune-tomato-leaf is a image classification model from Amanaccessassist. 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: Jun 2, 2024
Updated: Jun 2, 2024
SHA: 4d57ecac

Base models

google/vit-base-patch16-224-in21k

Model card

From the Hugging Face model README

finetune-tomato-leaf

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: 0.3585
Accuracy: 0.9720

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: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0819	1.0	175	0.9895	0.9018
0.6466	2.0	350	0.5825	0.9593
0.4737	3.0	525	0.4544	0.9608
0.3983	4.0	700	0.3788	0.9715
0.3876	5.0	875	0.3585	0.9720

Framework versions

Transformers 4.41.1
Pytorch 2.1.2
Datasets 2.19.1
Tokenizers 0.19.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Jun 2, 2024
Updated: Jun 2, 2024