metadata

license: apache-2.0
base_model: facebook/convnextv2-base-1k-224
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: switch_gate-leaf-disease-convnextv2-base-1k-224
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: None
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9355140186915888

switch_gate-leaf-disease-convnextv2-base-1k-224

This model is a fine-tuned version of facebook/convnextv2-base-1k-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.1746
Accuracy: 0.9355

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: 300
eval_batch_size: 300
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 1200
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 16

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6169	0.98	16	0.4210	0.8285
0.3115	1.97	32	0.2653	0.8949
0.2375	2.95	48	0.2198	0.9117
0.1999	4.0	65	0.2004	0.9234
0.1916	4.98	81	0.1841	0.9290
0.1771	5.97	97	0.1897	0.9238
0.168	6.95	113	0.1799	0.9308
0.1592	8.0	130	0.1782	0.9332
0.1542	8.98	146	0.1728	0.9322
0.1521	9.97	162	0.1808	0.9346
0.1501	10.95	178	0.1728	0.9388
0.1426	12.0	195	0.1756	0.9346
0.1389	12.98	211	0.1759	0.9369
0.1391	13.97	227	0.1747	0.9364
0.136	14.95	243	0.1744	0.9364
0.1327	15.75	256	0.1746	0.9355

Framework versions

Transformers 4.39.3
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1