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Haaaaaaaaaax/
google-vit-Base-finetuned-food101

Name: google-vit-Base-finetuned-food101
Availability: InStock

generated_from_trainer

google/vit-base-patch16-224-in21k

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google-vit-Base-finetuned-food101

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: 0.5531
Accuracy: 0.9727
F1: 0.9740

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
3.4867	1.0	157	3.2502	0.8793	0.8778
2.0982	2.0	314	1.9278	0.9353	0.9355
1.5644	3.0	471	1.3466	0.9633	0.9639
1.1841	4.0	628	1.0414	0.9653	0.9662
1.0235	5.0	785	0.8482	0.9687	0.9696
0.8153	6.0	942	0.7218	0.9673	0.9688
0.7418	7.0	1099	0.6439	0.9687	0.9700
0.6897	8.0	1256	0.5831	0.972	0.9730
0.6453	9.0	1413	0.5531	0.9727	0.9740
0.6199	9.9408	1560	0.5457	0.9707	0.9720

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1

Haaaaaaaaaax/google-vit-Base-finetuned-food101

google-vit-Base-finetuned-food101

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Haaaaaaaaaax/
google-vit-Base-finetuned-food101