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--- |
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license: apache-2.0 |
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base_model: PekingU/rtdetr_r50vd_coco_o365 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: law-game-evidence-replacement-finetune |
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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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# law-game-evidence-replacement-finetune |
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This model is a fine-tuned version of [PekingU/rtdetr_r50vd_coco_o365](https://huggingface.co/PekingU/rtdetr_r50vd_coco_o365) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 3.4253 |
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- eval_map: 0.8264 |
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- eval_map_50: 0.8488 |
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- eval_map_75: 0.8441 |
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- eval_map_small: 0.5688 |
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- eval_map_medium: 0.9527 |
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- eval_map_large: 0.8547 |
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- eval_mar_1: 0.7043 |
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- eval_mar_10: 0.9575 |
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- eval_mar_100: 0.9727 |
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- eval_mar_small: 0.5949 |
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- eval_mar_medium: 0.9738 |
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- eval_mar_large: 0.9894 |
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- eval_map_evidence: -1.0 |
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- eval_mar_100_evidence: -1.0 |
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- eval_map_ambulance: 0.9802 |
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- eval_mar_100_ambulance: 0.9899 |
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- eval_map_artificial_target: 0.9267 |
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- eval_mar_100_artificial_target: 0.9572 |
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- eval_map_cartridge: 0.9742 |
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- eval_mar_100_cartridge: 0.9949 |
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- eval_map_gun: 0.9165 |
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- eval_mar_100_gun: 0.9403 |
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- eval_map_knife: 0.8599 |
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- eval_mar_100_knife: 0.931 |
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- eval_map_police: 0.9935 |
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- eval_mar_100_police: 0.9959 |
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- eval_map_traffic: 0.9586 |
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- eval_mar_100_traffic: 0.9726 |
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- eval_map_traffic_cone: 0.0013 |
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- eval_mar_100_traffic_cone: 1.0 |
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- eval_runtime: 50.5267 |
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- eval_samples_per_second: 16.467 |
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- eval_steps_per_second: 2.058 |
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- epoch: 28.0 |
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- step: 5152 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 300 |
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- num_epochs: 50 |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.3.1+cu121 |
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- Tokenizers 0.19.1 |
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