polejowska / detr-r101-cd45rb-4ah-4l-256d

huggingface.co
Total runs: 159
24-hour runs: 0
7-day runs: 158
30-day runs: 154
Model's Last Updated: July 31 2023
object-detection

Introduction of detr-r101-cd45rb-4ah-4l-256d

Model Details of detr-r101-cd45rb-4ah-4l-256d

detr-r101-cd45rb-4ah-4l-256d

This model is a fine-tuned version of facebook/detr-resnet-101 on the cd45rb dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9995
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: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
3.7019 1.0 4606 2.7624
3.242 2.0 9212 2.4796
3.0192 3.0 13818 2.2813
2.863 4.0 18424 2.1890
2.7702 5.0 23030 2.1246
2.7018 6.0 27636 2.1121
2.6499 7.0 32242 2.0616
2.6082 8.0 36848 2.0321
2.5774 9.0 41454 2.0095
2.5589 10.0 46060 1.9995
Framework versions
  • Transformers 4.28.0
  • Pytorch 2.0.1
  • Datasets 2.12.0
  • Tokenizers 0.13.3

Runs of polejowska detr-r101-cd45rb-4ah-4l-256d on huggingface.co

159
Total runs
0
24-hour runs
0
3-day runs
158
7-day runs
154
30-day runs

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