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detr-resnet-50-finetuned-real-boat-dataset – AI Model by SIS-2024-spring | AlphaNeural AI
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SIS-2024-spring
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detr-resnet-50-finetuned-real-boat-dataset
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transformers
safetensors
detr
object-detection
generated_from_trainer
boat_dataset
zhuchi76/detr-resnet-50-finetuned-boat-dataset
finetune
apache-2.0
endpoints_compatible
us
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detr-resnet-50-finetuned-real-boat-dataset
This model is a fine-tuned version of
zhuchi76/detr-resnet-50-finetuned-boat-dataset
on the boat_dataset dataset.
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
