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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: PekingU/rtdetr_v2_r50vd |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: rtdetr-v2-r50-cppe5-finetune-2 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# rtdetr-v2-r50-cppe5-finetune-2 |
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This model is a fine-tuned version of [PekingU/rtdetr_v2_r50vd](https://huggingface.co/PekingU/rtdetr_v2_r50vd) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 11.9610 |
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- Map: 0.3649 |
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- Map 50: 0.6413 |
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- Map 75: 0.3314 |
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- Map Small: 0.3681 |
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- Map Medium: 0.3514 |
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- Map Large: 0.5909 |
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- Mar 1: 0.315 |
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- Mar 10: 0.5779 |
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- Mar 100: 0.6508 |
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- Mar Small: 0.4932 |
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- Mar Medium: 0.5762 |
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- Mar Large: 0.784 |
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- Map Coverall: 0.5504 |
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- Mar 100 Coverall: 0.8538 |
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- Map Face Shield: 0.3497 |
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- Mar 100 Face Shield: 0.7471 |
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- Map Gloves: 0.2505 |
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- Mar 100 Gloves: 0.4915 |
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- Map Goggles: 0.2357 |
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- Mar 100 Goggles: 0.5655 |
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- Map Mask: 0.4385 |
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- Mar 100 Mask: 0.5961 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 300 |
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- num_epochs: 5 |
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### Training results |
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| 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 Coverall | Mar 100 Coverall | Map Face Shield | Mar 100 Face Shield | Map Gloves | Mar 100 Gloves | Map Goggles | Mar 100 Goggles | Map Mask | Mar 100 Mask | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:------------:|:----------------:|:---------------:|:-------------------:|:----------:|:--------------:|:-----------:|:---------------:|:--------:|:------------:| |
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| No log | 1.0 | 107 | 55.3917 | 0.0232 | 0.0485 | 0.0213 | 0.0 | 0.0062 | 0.0249 | 0.04 | 0.0855 | 0.0943 | 0.0 | 0.0516 | 0.1121 | 0.1087 | 0.3068 | 0.0004 | 0.0519 | 0.0001 | 0.0085 | 0.0 | 0.0277 | 0.0069 | 0.0769 | |
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| No log | 2.0 | 214 | 28.9185 | 0.1144 | 0.2063 | 0.1092 | 0.0122 | 0.0769 | 0.1746 | 0.1466 | 0.267 | 0.2858 | 0.0174 | 0.2233 | 0.5011 | 0.3659 | 0.6144 | 0.0255 | 0.238 | 0.0138 | 0.1277 | 0.0502 | 0.2092 | 0.1164 | 0.2396 | |
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| No log | 3.0 | 321 | 19.5631 | 0.1944 | 0.363 | 0.1809 | 0.1027 | 0.1483 | 0.2848 | 0.2424 | 0.4058 | 0.4504 | 0.2156 | 0.4032 | 0.654 | 0.4834 | 0.6883 | 0.0884 | 0.4747 | 0.0624 | 0.2429 | 0.0624 | 0.3692 | 0.2753 | 0.4769 | |
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| No log | 4.0 | 428 | 15.2810 | 0.2345 | 0.4587 | 0.2098 | 0.1045 | 0.1855 | 0.4544 | 0.2525 | 0.4567 | 0.5091 | 0.2361 | 0.4726 | 0.734 | 0.551 | 0.7279 | 0.1186 | 0.543 | 0.1237 | 0.417 | 0.1106 | 0.3846 | 0.2685 | 0.4729 | |
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| 55.6421 | 5.0 | 535 | 14.7773 | 0.2391 | 0.4678 | 0.2144 | 0.0671 | 0.1875 | 0.447 | 0.2633 | 0.4649 | 0.5141 | 0.2299 | 0.4817 | 0.7456 | 0.5519 | 0.7369 | 0.1398 | 0.5443 | 0.114 | 0.3906 | 0.1052 | 0.4262 | 0.2844 | 0.4724 | |
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### Framework versions |
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- Transformers 4.50.0.dev0 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.3.2 |
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- Tokenizers 0.21.0 |
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