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bryandts/
image_classification_food_indian

Name: image_classification_food_indian
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

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image_classification_food_indian

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3097
Accuracy: 0.9267

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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	333	0.4028	0.8969
0.6617	2.0	666	0.3750	0.9044
0.6617	3.0	999	0.3231	0.9224
0.1215	4.0	1332	0.3105	0.9277

Framework versions

Transformers 4.33.3
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

bryandts/image_classification_food_indian

image_classification_food_indian

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

bryandts/
image_classification_food_indian