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rtdetr-finetuned-multi-pills – AI Model by ChavyvAkvar | AlphaNeural AI
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ChavyvAkvar
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rtdetr-finetuned-multi-pills
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transformers
tensorboard
onnx
safetensors
rt_detr_v2
object-detection
generated_from_trainer
PekingU/rtdetr_v2_r18vd
quantized
apache-2.0
endpoints_compatible
us
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rtdetr-finetuned-multi-pills
This model is a fine-tuned version of
PekingU/rtdetr_v2_r18vd
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.4598
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: 4
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
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
3.0462
1.0
2250
1.8173
2.649
2.0
4500
1.5343
2.4828
3.0
6750
1.4598
Framework versions
Transformers 4.53.0
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
