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vit-base-patch16-224-finetuned-cassava-leaf-disease – AI Model by louislu9911 | AlphaNeural AI
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vit-base-patch16-224-finetuned-cassava-leaf-disease
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transformers
safetensors
vit
image-classification
generated_from_trainer
imagefolder
google/vit-base-patch16-224
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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vit-base-patch16-224-finetuned-cassava-leaf-disease
This model is a fine-tuned version of
google/vit-base-patch16-224
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.5363
Accuracy: 0.8093
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: 200
eval_batch_size: 200
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 800
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
2.4458
0.99
24
1.0368
0.6687
0.6916
1.98
48
0.5888
0.7930
0.4886
2.97
72
0.5363
0.8093
Framework versions
Transformers 4.37.2
Pytorch 2.2.1
Datasets 2.18.0
Tokenizers 0.15.1
