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detr-r50-cd45rb-4ah-12l – AI Model by polejowska | AlphaNeural AI
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detr-r50-cd45rb-4ah-12l
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transformers
pytorch
detr
object-detection
generated_from_trainer
cd45rb
apache-2.0
endpoints_compatible
us
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detr-r50-cd45rb-4ah-12l
This model is a fine-tuned version of
facebook/detr-resnet-50
on the cd45rb dataset. It achieves the following results on the evaluation set:
Loss: 2.1298
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: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.6967
1.0
4606
2.7254
3.2687
2.0
9212
2.4867
3.0302
3.0
13818
2.3065
2.8744
4.0
18424
2.1857
2.7778
5.0
23030
2.1298
Framework versions
Transformers 4.28.0
Pytorch 2.0.1
Datasets 2.12.0
Tokenizers 0.13.3
