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detr2 – AI Model by oskarkuuse | AlphaNeural AI
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oskarkuuse
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detr2
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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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detr2
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: 1.2191
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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
1.3967
1.0
1250
1.5527
1.7891
2.0
2500
1.4216
1.537
3.0
3750
1.3198
1.2472
4.0
5000
1.2333
1.1635
5.0
6250
1.2191
Framework versions
Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2
