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detr – AI Model by julianlec | AlphaNeural AI
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julianlec
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detr
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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
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:
Loss: 0.9542
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: 5e-05
train_batch_size: 2
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
Training Loss
Epoch
Step
Validation Loss
0.9905
1.0
5000
0.9542
Framework versions
Transformers 4.40.0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
