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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: 31.0067 |
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- Map: 0.2061 |
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- Map 50: 0.4076 |
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- Map 75: 0.1946 |
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- Map Small: 0.1368 |
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- Map Medium: 0.623 |
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- Map Large: 0.82 |
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- Mar 1: 0.0921 |
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- Mar 10: 0.2488 |
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- Mar 100: 0.2856 |
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- Mar Small: 0.2105 |
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- Mar Medium: 0.7164 |
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- Mar Large: 0.8705 |
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- Map Person: 0.1413 |
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- Mar 100 Person: 0.2035 |
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- Map Car: 0.2709 |
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- Mar 100 Car: 0.3678 |
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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: 2.0 |
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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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| 37.3934 | 1.0 | 100 | 33.6332 | 0.1981 | 0.3956 | 0.1799 | 0.1285 | 0.6173 | 0.7992 | 0.0896 | 0.2453 | 0.2821 | 0.2074 | 0.7135 | 0.8354 | 0.1349 | 0.2001 | 0.2613 | 0.3641 | |
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| 29.0441 | 2.0 | 200 | 31.0067 | 0.2061 | 0.4076 | 0.1946 | 0.1368 | 0.623 | 0.82 | 0.0921 | 0.2488 | 0.2856 | 0.2105 | 0.7164 | 0.8705 | 0.1413 | 0.2035 | 0.2709 | 0.3678 | |
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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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