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---
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license: other
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base_model: nvidia/mit-b0
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tags:
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- generated_from_trainer
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model-index:
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- name: segmentation
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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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# segmentation
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: -0.9095
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- Mean Iou: 0.2514
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- Mean Accuracy: 1.0
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- Overall Accuracy: 1.0
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- Per Category Iou: [0.25135050741608117]
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- Per Category Accuracy: [1.0]
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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: 6e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:---------------------:|:---------------------:|
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| -0.906 | 0.1905 | 20 | -0.5145 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
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| -1.2793 | 0.3810 | 40 | -0.7514 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
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| -3.2567 | 0.5714 | 60 | -0.9282 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
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| -3.8327 | 0.7619 | 80 | -0.9024 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
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| -2.1622 | 0.9524 | 100 | -0.9095 | 0.2514 | 1.0 | 1.0 | [0.25135050741608117] | [1.0] |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.2.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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