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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: model1 |
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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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# model1 |
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3138 |
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- Mean Iou: 0.0868 |
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- Mean Accuracy: 0.1217 |
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- Overall Accuracy: 0.2285 |
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- Accuracy Background: nan |
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- Accuracy Ship: 0.1353 |
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- Accuracy Small-vehicle: 0.0001 |
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- Accuracy Tennis-court: 0.7306 |
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- Accuracy Helicopter: nan |
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- Accuracy Basketball-court: 0.0 |
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- Accuracy Ground-track-field: 0.0 |
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- Accuracy Swimming-pool: 0.0 |
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- Accuracy Harbor: 0.5786 |
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- Accuracy Soccer-ball-field: 0.0 |
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- Accuracy Plane: 0.0 |
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- Accuracy Storage-tank: 0.0 |
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- Accuracy Baseball-diamond: 0.0 |
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- Accuracy Large-vehicle: 0.2588 |
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- Accuracy Bridge: 0.0 |
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- Accuracy Roundabout: 0.0 |
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- Iou Background: 0.0 |
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- Iou Ship: 0.0532 |
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- Iou Small-vehicle: 0.0001 |
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- Iou Tennis-court: 0.7062 |
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- Iou Helicopter: nan |
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- Iou Basketball-court: 0.0 |
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- Iou Ground-track-field: 0.0 |
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- Iou Swimming-pool: 0.0 |
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- Iou Harbor: 0.2868 |
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- Iou Soccer-ball-field: 0.0 |
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- Iou Plane: 0.0 |
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- Iou Storage-tank: 0.0 |
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- Iou Baseball-diamond: 0.0 |
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- Iou Large-vehicle: 0.2563 |
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- Iou Bridge: 0.0 |
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- Iou Roundabout: 0.0 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 1337 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- training_steps: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Ship | Accuracy Small-vehicle | Accuracy Tennis-court | Accuracy Helicopter | Accuracy Basketball-court | Accuracy Ground-track-field | Accuracy Swimming-pool | Accuracy Harbor | Accuracy Soccer-ball-field | Accuracy Plane | Accuracy Storage-tank | Accuracy Baseball-diamond | Accuracy Large-vehicle | Accuracy Bridge | Accuracy Roundabout | Iou Background | Iou Ship | Iou Small-vehicle | Iou Tennis-court | Iou Helicopter | Iou Basketball-court | Iou Ground-track-field | Iou Swimming-pool | Iou Harbor | Iou Soccer-ball-field | Iou Plane | Iou Storage-tank | Iou Baseball-diamond | Iou Large-vehicle | Iou Bridge | Iou Roundabout | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-------------:|:----------------------:|:---------------------:|:-------------------:|:-------------------------:|:---------------------------:|:----------------------:|:---------------:|:--------------------------:|:--------------:|:---------------------:|:-------------------------:|:----------------------:|:---------------:|:-------------------:|:--------------:|:--------:|:-----------------:|:----------------:|:--------------:|:--------------------:|:----------------------:|:-----------------:|:----------:|:---------------------:|:---------:|:----------------:|:--------------------:|:-----------------:|:----------:|:--------------:| |
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| 2.069 | 1.0 | 105 | 1.4975 | 0.0942 | 0.1496 | 0.2837 | nan | 0.4327 | 0.0002 | 0.8374 | nan | 0.0 | 0.0 | 0.0 | 0.4733 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.3506 | 0.0 | 0.0 | 0.0 | 0.0794 | 0.0002 | 0.7660 | nan | 0.0 | 0.0 | 0.0 | 0.2213 | 0.0002 | 0.0 | 0.0 | 0.0 | 0.3460 | 0.0 | 0.0 | |
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| 1.5141 | 1.9 | 200 | 1.3138 | 0.0868 | 0.1217 | 0.2285 | nan | 0.1353 | 0.0001 | 0.7306 | nan | 0.0 | 0.0 | 0.0 | 0.5786 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2588 | 0.0 | 0.0 | 0.0 | 0.0532 | 0.0001 | 0.7062 | nan | 0.0 | 0.0 | 0.0 | 0.2868 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2563 | 0.0 | 0.0 | |
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### Framework versions |
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- Transformers 4.35.0.dev0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.14.1 |
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