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detr-model – AI Model by jfecunha | AlphaNeural AI
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jfecunha
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detr-model
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transformers
pytorch
tensorboard
detr
object-detection
generated_from_trainer
apache-2.0
endpoints_compatible
us
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detr-model
This model is a fine-tuned version of
facebook/detr-resnet-50
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5768
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: 0.0001
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: 20
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3
