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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: 15.7596 |
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- Map: 0.243 |
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- Map 50: 0.4016 |
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- Map 75: 0.2288 |
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- Map Small: 0.1622 |
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- Map Medium: 0.1679 |
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- Map Large: 0.4047 |
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- Mar 1: 0.2498 |
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- Mar 10: 0.5329 |
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- Mar 100: 0.6054 |
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- Mar Small: 0.4114 |
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- Mar Medium: 0.5602 |
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- Mar Large: 0.781 |
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- Map Coverall: 0.4109 |
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- Mar 100 Coverall: 0.7821 |
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- Map Face Shield: 0.1194 |
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- Mar 100 Face Shield: 0.6471 |
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- Map Gloves: 0.2443 |
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- Mar 100 Gloves: 0.4508 |
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- Map Goggles: 0.065 |
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- Mar 100 Goggles: 0.4586 |
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- Map Mask: 0.3754 |
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- Mar 100 Mask: 0.6882 |
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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: 2 |
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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 | 35.1046 | 0.0395 | 0.0911 | 0.0256 | 0.0015 | 0.0104 | 0.0475 | 0.0733 | 0.1851 | 0.2494 | 0.0421 | 0.1906 | 0.365 | 0.1668 | 0.5491 | 0.0207 | 0.2278 | 0.0068 | 0.1759 | 0.0007 | 0.0877 | 0.0024 | 0.2062 | |
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| No log | 2.0 | 214 | 18.0639 | 0.1779 | 0.3283 | 0.1719 | 0.0679 | 0.1 | 0.2844 | 0.2053 | 0.4086 | 0.4734 | 0.2576 | 0.3816 | 0.7174 | 0.4958 | 0.7032 | 0.0485 | 0.4873 | 0.1107 | 0.3246 | 0.0257 | 0.3754 | 0.2086 | 0.4764 | |
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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 3.4.1 |
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- Tokenizers 0.21.1 |
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