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dinov2-base-tissue – AI Model by AlaaHussien | AlphaNeural AI
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AlaaHussien
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dinov2-base-tissue
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transformers
tensorboard
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-tissue
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: 0.0200
Accuracy: 0.9952
F1: 0.9952
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.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: 10
Training results
Framework versions
Transformers 4.53.3
Pytorch 2.6.0+cu124
Datasets 4.4.1
Tokenizers 0.21.2
