update model card README.md

README.md

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+---
+license: other
+tags:
+- generated_from_trainer
+model-index:
+- name: segformer-b0-DeepCrack
+  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-DeepCrack
+
+This model is a fine-tuned version of [nvidia/mit-b4](https://huggingface.co/nvidia/mit-b4) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0145
+- Mean Iou: 0.0585
+- Mean Accuracy: 0.1170
+- Overall Accuracy: 0.1170
+- Accuracy Background: nan
+- Accuracy Cracked: 0.1170
+- Iou Background: 0.0
+- Iou Cracked: 0.1170
+
+## 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Cracked | Iou Background | Iou Cracked |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:----------------:|:--------------:|:-----------:|
+| 0.3566        | 0.13  | 20   | 0.2932          | 0.0200   | 0.0401        | 0.0401           | nan                 | 0.0401           | 0.0            | 0.0401      |
+| 0.1639        | 0.27  | 40   | 0.1326          | 0.1353   | 0.2706        | 0.2706           | nan                 | 0.2706           | 0.0            | 0.2706      |
+| 0.0562        | 0.4   | 60   | 0.0548          | 0.0681   | 0.1363        | 0.1363           | nan                 | 0.1363           | 0.0            | 0.1363      |
+| 0.0283        | 0.53  | 80   | 0.0294          | 0.0815   | 0.1630        | 0.1630           | nan                 | 0.1630           | 0.0            | 0.1630      |
+| 0.0187        | 0.67  | 100  | 0.0194          | 0.0720   | 0.1439        | 0.1439           | nan                 | 0.1439           | 0.0            | 0.1439      |
+| 0.0144        | 0.8   | 120  | 0.0160          | 0.0656   | 0.1313        | 0.1313           | nan                 | 0.1313           | 0.0            | 0.1313      |
+| 0.0152        | 0.93  | 140  | 0.0145          | 0.0585   | 0.1170        | 0.1170           | nan                 | 0.1170           | 0.0            | 0.1170      |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3