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detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024 – AI Model by ARG-NCTU | AlphaNeural AI
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detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024
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ARG-NCTU/detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024
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detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024
This model is a fine-tuned version of
ARG-NCTU/detr-resnet-50-finetuned-federated-2-clients-Kaohsiung_Port_dataset_2024
on an unknown 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: 12
eval_batch_size: 12
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: 1
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.7.1+cu128
Datasets 3.1.0
Tokenizers 0.21.2
