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dinov2-Base-finetuned-kidney_v5 – AI Model by Haaaaaaaaaax | AlphaNeural AI
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dinov2-Base-finetuned-kidney_v5
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transformers
safetensors
dinov2
image-classification
generated_from_trainer
imagefolder
facebook/dinov2-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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dinov2-Base-finetuned-kidney_v5
This model is a fine-tuned version of
facebook/dinov2-base
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0012
Accuracy: 0.9989
F1: 0.9989
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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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_steps: 0.1
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.0019
1.0
468
0.0094
0.9979
0.9979
0.0065
2.0
936
0.0012
0.9989
0.9989
Framework versions
Transformers 5.0.0
Pytorch 2.6.0+cu126
Datasets 4.8.4
Tokenizers 0.22.2
