convnextv2-base-22k-224-finetuned-critique

mvkvc/convnextv2-base-22k-224-finetuned-critique

convnextv2-base-22k-224-finetuned-critique is a image classification model from mvkvc. 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: convnextv2
Access: Public
Created: Jul 17, 2023
Updated: Jul 17, 2023
SHA: 937f2d42

Model card

From the Hugging Face model README

convnextv2-base-22k-224-finetuned-critique

This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2878
Accuracy: 0.8825

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
0.2128	1.0	56	0.3349	0.8588
0.2064	1.99	112	0.2999	0.8812
0.1788	2.99	168	0.2878	0.8825

Framework versions

Transformers 4.30.2
Pytorch 1.13.1
Datasets 2.13.1
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: convnextv2
License: apache-2.0
Created: Jul 17, 2023
Updated: Jul 17, 2023