convnextv2-base-22k-384-finetuned

sergeipetrov/convnextv2-base-22k-384-finetuned

convnextv2-base-22k-384-finetuned is a image classification model from sergeipetrov. 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: Jan 30, 2024
Updated: Jan 30, 2024
SHA: 4c489446

Model card

From the Hugging Face model README

convnextv2-base-22k-384-finetuned

This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3257
Accuracy: 0.9611
F1: 0.9510
Precision: 0.9714
Recall: 0.9315

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: 0.00015
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	2	0.5986	0.8167	0.8092	0.7	0.9589
No log	2.0	4	0.3945	0.9611	0.9510	0.9714	0.9315
No log	3.0	6	0.3257	0.9611	0.9510	0.9714	0.9315

Framework versions

Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.12.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: convnextv2
License: apache-2.0
Created: Jan 30, 2024
Updated: Jan 30, 2024