metadata

license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: deit-tiny-patch16-224-finetuned-piid
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: val
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7625570776255708

deit-tiny-patch16-224-finetuned-piid

This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.5426
Accuracy: 0.7626

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2274	0.98	20	1.1185	0.4658
0.8485	2.0	41	0.8690	0.6119
0.6793	2.98	61	0.8749	0.6073
0.6028	4.0	82	0.6864	0.6804
0.5693	4.98	102	0.5618	0.7717
0.5092	6.0	123	0.5958	0.7260
0.3788	6.98	143	0.6444	0.7352
0.4106	8.0	164	0.5277	0.7443
0.3716	8.98	184	0.6081	0.7352
0.3466	10.0	205	0.4976	0.7580
0.3587	10.98	225	0.5429	0.7443
0.2661	12.0	246	0.4933	0.7763
0.2628	12.98	266	0.5078	0.7671
0.2473	14.0	287	0.5264	0.7945
0.2633	14.98	307	0.5262	0.7671
0.2017	16.0	328	0.5509	0.7763
0.1861	16.98	348	0.5513	0.7443
0.2031	18.0	369	0.5516	0.7580
0.1604	18.98	389	0.5430	0.7671
0.2346	19.51	400	0.5426	0.7626

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1