metadata

license: apache-2.0
base_model: facebook/convnextv2-tiny-22k-384
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: convnext-tiny-new-5e-5
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: validation
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.9404761904761905

convnext-tiny-new-5e-5

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

Loss: 0.2310
Accuracy: 0.9405

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7921	1.0	1099	0.4486	0.8680
0.6062	2.0	2198	0.3753	0.8926
0.4537	3.0	3297	0.3196	0.9113
0.4313	4.0	4396	0.2750	0.9241
0.3747	5.0	5495	0.2922	0.9201
0.3382	6.0	6594	0.2780	0.9276
0.3065	7.0	7693	0.2569	0.9292
0.2331	8.0	8792	0.2539	0.9344
0.2127	9.0	9891	0.2480	0.9352
0.2409	10.0	10990	0.2452	0.9344

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2