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

Loss: 1.6436
Accuracy: 0.7895
F1: 0.7783

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: 0.0005
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	0.9936	78	2.1439	0.7783	0.7652
2.4975	2.0	157	1.7511	0.7831	0.7701
1.9295	2.9809	234	1.6436	0.7895	0.7783

Framework versions

Transformers 4.44.2
Pytorch 2.6.0+cu124
Datasets 2.21.0
Tokenizers 0.19.1

Zodex/my-indian-food-model-v24

my-indian-food-model-v24

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Zodex/
my-indian-food-model-v24