metadata

license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
  - image-classification
  - vision
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: food101-deit-tiny-patch16-224
    results: []

food101-deit-tiny-patch16-224

This model is a fine-tuned version of facebook/deit-tiny-patch16-224 on the food101 dataset. It achieves the following results on the evaluation set:

Loss: 0.6538
Accuracy: 0.8204

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7988	1.0	9469	1.4392	0.6555
1.5581	2.0	18938	1.1165	0.7145
1.2981	3.0	28407	0.9254	0.7558
1.4347	4.0	37876	0.8343	0.7739
0.9679	5.0	47345	0.7731	0.7922
0.9975	6.0	56814	0.7378	0.7998
1.0269	7.0	66283	0.7022	0.8073
0.8969	8.0	75752	0.6865	0.8117
0.8152	9.0	85221	0.6641	0.8194
0.7437	10.0	94690	0.6538	0.8204

Framework versions

Transformers 4.38.0
Pytorch 2.1.2+cu118
Datasets 2.19.1
Tokenizers 0.15.2