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Jasonnapper/
my_awesome_food_model

Name: my_awesome_food_model
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

finetune

apache-2.0

endpoints_compatible

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my_awesome_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: 0.2532
Accuracy: 0.8867

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_FUSED 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4411	1.0	41	0.4576	0.7734
0.446	2.0	82	0.4239	0.8070
0.4084	3.0	123	0.3635	0.8361
0.369	4.0	164	0.3487	0.8438
0.3624	5.0	205	0.3225	0.8668
0.3316	6.0	246	0.3039	0.8606
0.3028	7.0	287	0.3217	0.8622
0.2774	8.0	328	0.2996	0.8652
0.2831	9.0	369	0.2517	0.9020
0.2893	10.0	410	0.2532	0.8867

Framework versions

Transformers 4.56.1
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.22.0

Jasonnapper/my_awesome_food_model

my_awesome_food_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Jasonnapper/
my_awesome_food_model