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darknetaa53-dtd – AI Model by arogyaGurkha | AlphaNeural AI
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darknetaa53-dtd
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transformers
tensorboard
safetensors
timm_wrapper
image-classification
timm
generated_from_trainer
timm/darknetaa53.c2ns_in1k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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darknetaa53-dtd
This model is a fine-tuned version of
timm/darknetaa53.c2ns_in1k
on the dtd dataset. It achieves the following results on the evaluation set:
Loss: 1.2270
Accuracy: 0.6814
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: 0.0002
train_batch_size: 384
eval_batch_size: 24
seed: 42
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
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.7.0+cu128
Datasets 3.6.0
Tokenizers 0.21.2
