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vit-fine-tuned-image-classification-beans – AI Model by Salmamoori | AlphaNeural AI
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Salmamoori
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vit-fine-tuned-image-classification-beans
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224-in21k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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vit-fine-tuned-image-classification-beans
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the beans dataset. It achieves the following results on the evaluation set:
Loss: 0.1194
Accuracy: 0.9624
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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1184
1.5385
100
0.1194
0.9624
Framework versions
Transformers 4.42.3
Pytorch 2.3.1+cpu
Datasets 2.20.0
Tokenizers 0.19.1
