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thainq107/
flowers-vit-base-patch16-224-in21k

generated_from_trainer

google/vit-base-patch16-224-in21k

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flowers-vit-base-patch16-224-in21k

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: 0.2048
Model Preparation Time: 0.0068
Accuracy: 0.9673

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: 32
eval_batch_size: 32
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Accuracy
No log	1.0	92	0.6178	0.0068	0.9700
No log	2.0	184	0.3102	0.0068	0.9646
No log	3.0	276	0.2315	0.0068	0.9700
No log	4.0	368	0.2097	0.0068	0.9673
No log	5.0	460	0.2048	0.0068	0.9673

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Tokenizers 0.21.0

thainq107/flowers-vit-base-patch16-224-in21k

flowers-vit-base-patch16-224-in21k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

thainq107/
flowers-vit-base-patch16-224-in21k