metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: convnext-base-224-22k-1k-orig-cats-vs-dogs
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9973333333333333

convnext-base-224-22k-1k-orig-cats-vs-dogs

This model is a fine-tuned version of facebook/convnext-base-224-22k-1k on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.0103
Accuracy: 0.9973

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: 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: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0072	1.0	664	0.0140	0.9973
0.0062	2.0	1328	0.0111	0.9965
0.0311	3.0	1992	0.0115	0.9976
0.0021	4.0	2656	0.0122	0.9973
0.0248	5.0	3320	0.0103	0.9973

Framework versions

Transformers 4.20.0
Pytorch 1.11.0+cu113
Datasets 2.3.3.dev0
Tokenizers 0.12.1