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detr – AI Model by Karl-Erik | AlphaNeural AI

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Karl-Erik/
detr

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object-detection

generated_from_trainer

facebook/detr-resnet-50

endpoints_compatible

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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:

eval_loss: 1.2889
eval_runtime: 145.9792
eval_samples_per_second: 6.85
eval_steps_per_second: 0.856
epoch: 0.64
step: 200

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: 0.0002
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2