metadata

license: apache-2.0
base_model: facebook/convnextv2-base-1k-224
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: convnextv2-base-1k-224-finetuned-cassava-leaf-disease-randomflip
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: train
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.8766355140186916

convnextv2-base-1k-224-finetuned-cassava-leaf-disease-randomflip

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: 0.3704
Accuracy: 0.8766

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: 400
eval_batch_size: 400
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 1600
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
1.5605	0.98	12	1.2754	0.6150
1.2015	1.96	24	0.9009	0.6290
0.9048	2.94	36	0.6987	0.7701
0.7362	4.0	49	0.5497	0.8206
0.5294	4.98	61	0.4712	0.8542
0.4777	5.96	73	0.4451	0.8547
0.458	6.94	85	0.4197	0.8579
0.4208	8.0	98	0.4084	0.8682
0.4042	8.98	110	0.3930	0.8692
0.4071	9.96	122	0.3879	0.8743
0.3868	10.94	134	0.3923	0.8715
0.3849	12.0	147	0.3763	0.8748
0.3744	12.98	159	0.3732	0.8776
0.3739	13.96	171	0.3708	0.8748
0.361	14.94	183	0.3693	0.8818
0.3725	15.67	192	0.3704	0.8766

Framework versions

Transformers 4.39.3
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1