metadata

license: apache-2.0
base_model: facebook/convnextv2-tiny-22k-384
tags:
  - image-classification
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: ConvnextV2-base
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: vuongnhathien/30VNFoods
          type: imagefolder
          config: default
          split: validation
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9192460317460317

ConvnextV2-base

This model is a fine-tuned version of facebook/convnextv2-tiny-22k-384 on the vuongnhathien/30VNFoods dataset. It achieves the following results on the evaluation set:

Loss: 0.4650
Accuracy: 0.9192

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: 0.0003
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5453	1.0	550	0.5385	0.8465
0.3201	2.0	1100	0.5494	0.8465
0.1818	3.0	1650	0.4973	0.8732
0.0974	4.0	2200	0.5644	0.8652
0.059	5.0	2750	0.5624	0.8891
0.0371	6.0	3300	0.6428	0.8755
0.0118	7.0	3850	0.5426	0.9026
0.0169	8.0	4400	0.4927	0.9161
0.0103	9.0	4950	0.5011	0.9105
0.0017	10.0	5500	0.4820	0.9165

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2