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rg6693/
simple_food_model

Name: simple_food_model
Rating: 2.5 (9 reviews)

generated_from_trainer

google/vit-base-patch16-224-in21k

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simple_food_model

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: 1.5739
Accuracy: 0.892

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.6447	1.0	63	2.4853	0.812
1.7882	2.0	126	1.7672	0.865
1.5327	3.0	189	1.5739	0.892

Framework versions

Transformers 4.52.3
Pytorch 2.6.0
Datasets 3.6.0
Tokenizers 0.21.1

rg6693/simple_food_model

simple_food_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rg6693/
simple_food_model