All DUNN!!!

README.md

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+---
+license: other
+base_model: nvidia/mit-b0
+tags:
+- generated_from_trainer
+model-index:
+- name: mit-b0-building-damage-lora
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# mit-b0-building-damage-lora
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+- Mean Iou: 0.0
+- Mean Accuracy: nan
+- Overall Accuracy: nan
+- Accuracy Background: nan
+- Accuracy Building: nan
+- Iou Background: 0.0
+- Iou Building: 0.0
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Building | Iou Background | Iou Building |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-----------------:|:--------------:|:------------:|
+| 0.2415        | 1.0   | 5    | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
+| 0.0067        | 2.0   | 10   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
+| 0.0014        | 3.0   | 15   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
+| 0.0008        | 4.0   | 20   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
+| 0.0019        | 5.0   | 25   | nan             | 0.0      | nan           | nan              | nan                 | nan               | 0.0            | 0.0          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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