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--- |
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library_name: transformers |
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license: other |
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base_model: facebook/mask2former-swin-tiny-coco-instance |
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tags: |
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- image-segmentation |
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- instance-segmentation |
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- vision |
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- generated_from_trainer |
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model-index: |
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- name: finetune-instance-segmentation-ade20k-mini-mask2former |
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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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# finetune-instance-segmentation-ade20k-mini-mask2former |
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This model is a fine-tuned version of [facebook/mask2former-swin-tiny-coco-instance](https://huggingface.co/facebook/mask2former-swin-tiny-coco-instance) on the qubvel-hf/ade20k-mini dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 28.4481 |
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- Map: 0.2172 |
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- Map 50: 0.4234 |
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- Map 75: 0.2041 |
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- Map Small: 0.1458 |
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- Map Medium: 0.6353 |
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- Map Large: 0.8076 |
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- Mar 1: 0.0953 |
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- Mar 10: 0.254 |
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- Mar 100: 0.2903 |
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- Mar Small: 0.2169 |
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- Mar Medium: 0.7113 |
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- Mar Large: 0.8594 |
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- Map Person: 0.1476 |
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- Mar 100 Person: 0.205 |
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- Map Car: 0.2867 |
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- Mar 100 Car: 0.3755 |
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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: 1e-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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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- optimizer: Use 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: constant |
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- num_epochs: 4.0 |
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- mixed_precision_training: Native AMP |
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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 Person | Mar 100 Person | Map Car | Mar 100 Car | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:----------:|:---------:|:------:|:------:|:-------:|:---------:|:----------:|:---------:|:----------:|:--------------:|:-------:|:-----------:| |
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| 33.5412 | 1.0 | 100 | 31.5328 | 0.1929 | 0.3918 | 0.1737 | 0.1281 | 0.6122 | 0.7895 | 0.0904 | 0.2473 | 0.2836 | 0.2105 | 0.7063 | 0.8229 | 0.13 | 0.2001 | 0.2558 | 0.3672 | |
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| 27.9471 | 2.0 | 200 | 29.7181 | 0.2053 | 0.4151 | 0.1851 | 0.1387 | 0.6192 | 0.8018 | 0.093 | 0.2507 | 0.2872 | 0.2142 | 0.7079 | 0.8323 | 0.1364 | 0.2029 | 0.2741 | 0.3714 | |
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| 26.4855 | 3.0 | 300 | 28.9786 | 0.2134 | 0.4219 | 0.1945 | 0.1451 | 0.6255 | 0.8047 | 0.0944 | 0.2543 | 0.2918 | 0.2198 | 0.7045 | 0.8594 | 0.143 | 0.2059 | 0.2837 | 0.3777 | |
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| 25.4746 | 4.0 | 400 | 28.4481 | 0.2172 | 0.4234 | 0.2041 | 0.1458 | 0.6353 | 0.8076 | 0.0953 | 0.254 | 0.2903 | 0.2169 | 0.7113 | 0.8594 | 0.1476 | 0.205 | 0.2867 | 0.3755 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.21.0 |
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