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

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Total runs: 159
24-hour runs: 0
7-day runs: 158
30-day runs: 152
Model's Last Updated: Tháng bảy 31 2023
object-detection

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

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

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

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: 2.0099
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
3.7324 1.0 4606 2.9621
3.3139 2.0 9212 2.5054
3.0575 3.0 13818 2.3285
2.8953 4.0 18424 2.2155
2.7853 5.0 23030 2.1671
2.709 6.0 27636 2.1339
2.6559 7.0 32242 2.0548
2.6096 8.0 36848 2.0364
2.5891 9.0 41454 2.0153
2.5697 10.0 46060 2.0099
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-learned on huggingface.co

159
Total runs
0
24-hour runs
0
3-day runs
158
7-day runs
152
30-day runs

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