update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer-b0-finetuned-brooks-or-dunn
+  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. -->
+
+# segformer-b0-finetuned-brooks-or-dunn
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the q2-jlbar/BrooksOrDunn dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1158
+- Mean Iou: nan
+- Mean Accuracy: nan
+- Overall Accuracy: nan
+- Per Category Iou: [nan, nan]
+- Per Category Accuracy: [nan, nan]
+
+## 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: 6e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Per Category Iou | Per Category Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:----------------:|:---------------------:|
+| 0.5153        | 4.0   | 20   | 0.5276          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.4082        | 8.0   | 40   | 0.3333          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.3157        | 12.0  | 60   | 0.2773          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.2911        | 16.0  | 80   | 0.2389          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.2395        | 20.0  | 100  | 0.1982          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.2284        | 24.0  | 120  | 0.1745          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.1818        | 28.0  | 140  | 0.1595          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.1549        | 32.0  | 160  | 0.1556          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.1351        | 36.0  | 180  | 0.1387          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.1254        | 40.0  | 200  | 0.1263          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.1412        | 44.0  | 220  | 0.1190          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+| 0.1179        | 48.0  | 240  | 0.1158          | nan      | nan           | nan              | [nan, nan]       | [nan, nan]            |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0
+- Datasets 2.2.2
+- Tokenizers 0.12.1