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image_strawbery-peach_classifier – AI Model by Dimasnoufal | AlphaNeural AI
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Dimasnoufal
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image_strawbery-peach_classifier
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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image_strawbery-peach_classifier
This model is a fine-tuned version of
google/vit-base-patch16-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0386
Accuracy: 0.9939
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: 6e-05
train_batch_size: 16
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
48
0.1272
0.9635
No log
2.0
96
0.0626
0.9878
No log
3.0
144
0.0865
0.9757
No log
4.0
192
0.0386
0.9939
No log
5.0
240
0.0354
0.9939
No log
6.0
288
0.0519
0.9848
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
