update model card README.md

README.md

@@ -0,0 +1,68 @@
+---
+license: other
+tags:
+- generated_from_trainer
+model-index:
+- name: segformer-finetuned-lane-1k-steps
+  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-finetuned-lane-1k-steps
+
+This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-cityscapes-512-1024](https://huggingface.co/nvidia/segformer-b0-finetuned-cityscapes-512-1024) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0548
+- Mean Iou: 0.0708
+- Mean Accuracy: 0.1236
+- Overall Accuracy: 0.1217
+- Accuracy Background: nan
+- Accuracy Left: 0.1893
+- Accuracy Right: 0.0578
+- Iou Background: 0.0
+- Iou Left: 0.1581
+- Iou Right: 0.0544
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: polynomial
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Background | Accuracy Left | Accuracy Right | Iou Background | Iou Left | Iou Right |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------------:|:-------------:|:--------------:|:--------------:|:--------:|:---------:|
+| 0.1           | 1.0   | 308  | 0.0862          | 0.0008   | 0.0013        | 0.0012           | nan                 | 0.0025        | 0.0            | 0.0            | 0.0025   | 0.0       |
+| 0.0596        | 2.0   | 616  | 0.0597          | 0.0712   | 0.1126        | 0.1132           | nan                 | 0.0940        | 0.1313         | 0.0            | 0.0907   | 0.1228    |
+| 0.0506        | 3.0   | 924  | 0.0551          | 0.0682   | 0.1171        | 0.1152           | nan                 | 0.1805        | 0.0536         | 0.0            | 0.1539   | 0.0508    |
+| 0.0494        | 3.25  | 1000 | 0.0548          | 0.0708   | 0.1236        | 0.1217           | nan                 | 0.1893        | 0.0578         | 0.0            | 0.1581   | 0.0544    |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3