metadata

license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
  - generated_from_trainer
datasets:
  - imagefolder
metrics:
  - accuracy
model-index:
  - name: hushem_conflu_deneme_fold3
    results:
      - task:
          name: Image Classification
          type: image-classification
        dataset:
          name: imagefolder
          type: imagefolder
          config: default
          split: test
          args: default
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.627906976744186

hushem_conflu_deneme_fold3

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: 0.9617
Accuracy: 0.6279

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: 0.001
train_batch_size: 32
eval_batch_size: 32
seed: 42
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
No log	1.0	6	1.6871	0.2558
1.9835	2.0	12	1.3632	0.2326
1.9835	3.0	18	1.4109	0.3256
1.294	4.0	24	1.3794	0.4186
1.2341	5.0	30	1.2119	0.4651
1.2341	6.0	36	1.4964	0.4419
1.0897	7.0	42	1.2398	0.4651
1.0897	8.0	48	1.0532	0.5349
0.9835	9.0	54	1.1022	0.5116
0.9034	10.0	60	0.9784	0.6279
0.9034	11.0	66	1.5952	0.5116
0.8061	12.0	72	0.9828	0.5581
0.8061	13.0	78	0.9199	0.7209
0.765	14.0	84	1.0672	0.5581
0.6513	15.0	90	1.0129	0.6744
0.6513	16.0	96	0.9247	0.6977
0.4919	17.0	102	0.9617	0.6279
0.4919	18.0	108	0.9617	0.6279
0.4742	19.0	114	0.9617	0.6279
0.4695	20.0	120	0.9617	0.6279

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1