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detr-resnet-50_finetuned_csod – AI Model by arielb30 | AlphaNeural AI
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detr-resnet-50_finetuned_csod
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transformers
tensorboard
safetensors
detr
object-detection
generated_from_trainer
facebook/detr-resnet-50
finetune
apache-2.0
endpoints_compatible
us
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detr-resnet-50_finetuned_csod
This model is a fine-tuned version of
facebook/detr-resnet-50
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.1804
eval_runtime: 23.8939
eval_samples_per_second: 16.029
eval_steps_per_second: 2.009
epoch: 2.7835
step: 1350
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: 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: 50
mixed_precision_training: Native AMP
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
