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--- |
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library_name: transformers |
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license: other |
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base_model: nvidia/mit-b0 |
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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: segformer-b0-finetuned-test |
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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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# segformer-b0-finetuned-test |
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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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- eval_loss: 0.2053 |
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- eval_mean_iou: 0.5448 |
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- eval_mean_accuracy: 0.6296 |
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- eval_overall_accuracy: 0.9130 |
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- eval_accuracy_Structure (dimensional): nan |
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- eval_accuracy_Impervious (planiform): 0.9578 |
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- eval_accuracy_Fences: 0.3758 |
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- eval_accuracy_Water Storage/Tank: nan |
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- eval_accuracy_Pool < 100 sqft: 0.0 |
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- eval_accuracy_Pool > 100 sqft: 0.8208 |
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- eval_accuracy_Irrigated Planiform: 0.8708 |
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- eval_accuracy_Irrigated Dimensional Low: 0.6817 |
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- eval_accuracy_Irrigated Dimensional High: 0.9472 |
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- eval_accuracy_Irrigated Bare: 0.4827 |
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- eval_accuracy_Irrigable Planiform: 0.6668 |
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- eval_accuracy_Irrigable Dimensional Low: 0.6013 |
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- eval_accuracy_Irrigable Dimensional High: 0.7902 |
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- eval_accuracy_Irrigable Bare: 0.5657 |
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- eval_accuracy_Native Planiform: 0.9093 |
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- eval_accuracy_Native Dimensional Low: 0.0 |
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- eval_accuracy_Native Dimensional High: 0.0961 |
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- eval_accuracy_Native Bare: 0.9332 |
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- eval_accuracy_UDL: nan |
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- eval_accuracy_Open Water: 0.6613 |
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- eval_accuracy_Artificial Turf: 0.9720 |
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- eval_iou_Structure (dimensional): 0.0 |
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- eval_iou_Impervious (planiform): 0.8964 |
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- eval_iou_Fences: 0.3104 |
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- eval_iou_Water Storage/Tank: nan |
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- eval_iou_Pool < 100 sqft: 0.0 |
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- eval_iou_Pool > 100 sqft: 0.8199 |
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- eval_iou_Irrigated Planiform: 0.7563 |
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- eval_iou_Irrigated Dimensional Low: 0.5480 |
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- eval_iou_Irrigated Dimensional High: 0.8920 |
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- eval_iou_Irrigated Bare: 0.4053 |
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- eval_iou_Irrigable Planiform: 0.6007 |
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- eval_iou_Irrigable Dimensional Low: 0.5083 |
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- eval_iou_Irrigable Dimensional High: 0.7595 |
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- eval_iou_Irrigable Bare: 0.5106 |
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- eval_iou_Native Planiform: 0.8678 |
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- eval_iou_Native Dimensional Low: 0.0 |
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- eval_iou_Native Dimensional High: 0.0961 |
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- eval_iou_Native Bare: 0.8293 |
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- eval_iou_UDL: nan |
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- eval_iou_Open Water: 0.5929 |
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- eval_iou_Artificial Turf: 0.9584 |
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- eval_runtime: 6.2852 |
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- eval_samples_per_second: 15.91 |
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- eval_steps_per_second: 1.114 |
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- epoch: 10.8 |
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- step: 270 |
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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: 16 |
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- eval_batch_size: 16 |
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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: 20 |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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