clee9 / detr_finetuned_cppe5

huggingface.co
Total runs: 73
24-hour runs: 0
7-day runs: 0
30-day runs: 0
Model's Last Updated: December 03 2024
object-detection

Introduction of detr_finetuned_cppe5

Model Details of detr_finetuned_cppe5

detr_finetuned_cppe5

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:

  • Loss: 1.3161
  • Map: 0.2105
  • Map 50: 0.4094
  • Map 75: 0.1905
  • Map Small: 0.1502
  • Map Medium: 0.3571
  • Map Large: 0.4362
  • Mar 1: 0.1081
  • Mar 10: 0.3278
  • Mar 100: 0.3743
  • Mar Small: 0.3282
  • Mar Medium: 0.5098
  • Mar Large: 0.6534
  • Map Basketball: 0.0042
  • Mar 100 Basketball: 0.0616
  • Map Player: 0.265
  • Mar 100 Player: 0.5
  • Map Referee: 0.3623
  • Mar 100 Referee: 0.5613
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: 64
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Map Map 50 Map 75 Map Small Map Medium Map Large Mar 1 Mar 10 Mar 100 Mar Small Mar Medium Mar Large Map Basketball Mar 100 Basketball Map Player Mar 100 Player Map Referee Mar 100 Referee
No log 1.0 116 1.7259 0.0463 0.1188 0.0254 0.0373 0.0536 0.12 0.0143 0.079 0.1495 0.1323 0.1627 0.2559 0.0001 0.0004 0.1389 0.448 0.0 0.0001
No log 2.0 232 1.5947 0.0815 0.1932 0.0546 0.0527 0.122 0.2809 0.0489 0.1628 0.2238 0.1766 0.3245 0.4338 0.0003 0.0191 0.1643 0.4463 0.0798 0.206
No log 3.0 348 1.5265 0.1137 0.265 0.0763 0.0701 0.1802 0.4805 0.0626 0.2302 0.2837 0.2467 0.322 0.6358 0.0014 0.0307 0.186 0.4408 0.1537 0.3795
No log 4.0 464 1.4374 0.1502 0.3157 0.1221 0.1033 0.2626 0.4493 0.0886 0.2788 0.3287 0.297 0.4497 0.6211 0.001 0.0406 0.2134 0.453 0.2363 0.4923
1.7746 5.0 580 1.3886 0.1788 0.3642 0.1501 0.1249 0.3074 0.4536 0.0985 0.3007 0.3497 0.3016 0.4682 0.6377 0.0018 0.043 0.2352 0.4679 0.2994 0.5382
1.7746 6.0 696 1.3638 0.1856 0.3769 0.1587 0.139 0.3455 0.4844 0.0959 0.305 0.3546 0.3107 0.5135 0.6647 0.0029 0.0583 0.2487 0.4871 0.3051 0.5185
1.7746 7.0 812 1.3398 0.2024 0.3975 0.1849 0.1357 0.3703 0.4796 0.1052 0.3174 0.3645 0.3156 0.4967 0.698 0.0038 0.053 0.2527 0.4854 0.3506 0.555
1.7746 8.0 928 1.3242 0.2081 0.4057 0.1885 0.1441 0.3631 0.4466 0.1106 0.3231 0.3718 0.3263 0.507 0.6549 0.0035 0.0617 0.2628 0.4952 0.3581 0.5586
1.4417 9.0 1044 1.3171 0.2092 0.4084 0.1903 0.1491 0.3535 0.4493 0.1076 0.3263 0.3732 0.3275 0.5003 0.651 0.0042 0.0608 0.2632 0.4992 0.3602 0.5597
1.4417 10.0 1160 1.3161 0.2105 0.4094 0.1905 0.1502 0.3571 0.4362 0.1081 0.3278 0.3743 0.3282 0.5098 0.6534 0.0042 0.0616 0.265 0.5 0.3623 0.5613
Framework versions
  • Transformers 4.46.2
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3

Runs of clee9 detr_finetuned_cppe5 on huggingface.co

73
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs

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detr_finetuned_cppe5 huggingface.co is an AI model on huggingface.co that provides detr_finetuned_cppe5's model effect (), which can be used instantly with this clee9 detr_finetuned_cppe5 model. huggingface.co supports a free trial of the detr_finetuned_cppe5 model, and also provides paid use of the detr_finetuned_cppe5. Support call detr_finetuned_cppe5 model through api, including Node.js, Python, http.

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