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rtdetr-v2-r50-finetune-test-quick – AI Model by KeepMouseMoving | AlphaNeural AI
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rtdetr-v2-r50-finetune-test-quick
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transformers
tensorboard
safetensors
rt_detr_v2
object-detection
generated_from_trainer
PekingU/rtdetr_v2_r50vd
finetune
apache-2.0
endpoints_compatible
us
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rtdetr-v2-r50-finetune-test-quick
This model is a fine-tuned version of
PekingU/rtdetr_v2_r50vd
on an unknown dataset.
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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 50
Training results
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
