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swinv2-tiny-patch4-window16-256-finetuned-plantdisease – AI Model by matinbaig43 | AlphaNeural AI
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swinv2-tiny-patch4-window16-256-finetuned-plantdisease
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transformers
tensorboard
safetensors
swinv2
image-classification
generated_from_trainer
imagefolder
microsoft/swinv2-tiny-patch4-window16-256
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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swinv2-tiny-patch4-window16-256-finetuned-plantdisease
This model is a fine-tuned version of
microsoft/swinv2-tiny-patch4-window16-256
on the imagefolder dataset.
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
