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update model card README.md

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+ ---
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+ license: other
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+ tags:
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+ - vision
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+ - image-segmentation
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+ - generated_from_trainer
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+ model-index:
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+ - name: trashbot
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+ results: []
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+ ---
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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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+
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+ # trashbot
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+
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+ This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on the mraottth/all_locations_pooled dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0191
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+ - Mean Iou: 0.3997
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+ - Mean Accuracy: 0.7995
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+ - Overall Accuracy: 0.7995
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+ - Accuracy Unlabeled: nan
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+ - Accuracy Trash: 0.7995
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+ - Iou Unlabeled: 0.0
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+ - Iou Trash: 0.7995
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 6e-05
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+ - train_batch_size: 3
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+ - eval_batch_size: 3
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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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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Unlabeled | Accuracy Trash | Iou Unlabeled | Iou Trash |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:--------------:|:-------------:|:---------:|
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+ | 0.0748 | 1.0 | 90 | 0.0386 | 0.3630 | 0.7259 | 0.7259 | nan | 0.7259 | 0.0 | 0.7259 |
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+ | 0.039 | 2.0 | 180 | 0.0242 | 0.3803 | 0.7607 | 0.7607 | nan | 0.7607 | 0.0 | 0.7607 |
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+ | 0.0194 | 3.0 | 270 | 0.0242 | 0.3605 | 0.7210 | 0.7210 | nan | 0.7210 | 0.0 | 0.7210 |
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+ | 0.0112 | 4.0 | 360 | 0.0205 | 0.3995 | 0.7991 | 0.7991 | nan | 0.7991 | 0.0 | 0.7991 |
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+ | 0.0169 | 5.0 | 450 | 0.0192 | 0.4000 | 0.8000 | 0.8000 | nan | 0.8000 | 0.0 | 0.8000 |
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+ | 0.041 | 6.0 | 540 | 0.0196 | 0.3838 | 0.7677 | 0.7677 | nan | 0.7677 | 0.0 | 0.7677 |
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+ | 0.0188 | 7.0 | 630 | 0.0191 | 0.4139 | 0.8277 | 0.8277 | nan | 0.8277 | 0.0 | 0.8277 |
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+ | 0.0073 | 8.0 | 720 | 0.0190 | 0.4069 | 0.8138 | 0.8138 | nan | 0.8138 | 0.0 | 0.8138 |
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+ | 0.025 | 9.0 | 810 | 0.0191 | 0.4087 | 0.8174 | 0.8174 | nan | 0.8174 | 0.0 | 0.8174 |
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+ | 0.006 | 10.0 | 900 | 0.0191 | 0.3997 | 0.7995 | 0.7995 | nan | 0.7995 | 0.0 | 0.7995 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.26.0
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+ - Pytorch 1.13.1+cu116
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+ - Datasets 2.9.0
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+ - Tokenizers 0.13.2