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results – AI Model by igggorevnaa | AlphaNeural AI
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transformers
safetensors
vit
image-classification
generated_from_trainer
facebook/deit-tiny-patch16-224
finetune
apache-2.0
endpoints_compatible
us
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results
This model is a fine-tuned version of
facebook/deit-tiny-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2578
Accuracy: 0.9245
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: 64
eval_batch_size: 128
seed: 42
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
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.0
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1