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dinov2-finetuned-skin-disease – AI Model by shindevaishnavi304 | AlphaNeural AI
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dinov2-finetuned-skin-disease
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transformers
safetensors
dinov2
image-classification
generated_from_trainer
imagefolder
facebook/dinov2-base
finetune
apache-2.0
endpoints_compatible
us
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dinov2-finetuned-skin-disease
This model is a fine-tuned version of
facebook/dinov2-base
on the imagefolder dataset. It achieves the following results on the evaluation set:
eval_loss: 0.9672
eval_accuracy: 0.7162
eval_runtime: 26.4483
eval_samples_per_second: 50.892
eval_steps_per_second: 1.626
epoch: 0.0633
step: 3
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 8
mixed_precision_training: Native AMP
Framework versions
Transformers 5.5.0
Pytorch 2.10.0+cu128
Datasets 4.8.3
Tokenizers 0.22.2
