update model card README.md

README.md

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+---
+license: other
+tags:
+- vision
+- image-segmentation
+- generated_from_trainer
+model-index:
+- name: segformer-b0-finetuned-magic-cards-230117
+  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-magic-cards-230117
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the andrewljohnson/magic_cards dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8470
+- Mean Iou: 0.5709
+- Mean Accuracy: 0.8685
+- Overall Accuracy: 0.8676
+- Accuracy Unlabeled: nan
+- Accuracy Front: 0.8772
+- Accuracy Back: 0.8598
+- Iou Unlabeled: 0.0
+- Iou Front: 0.8598
+- Iou Back: 0.8530
+
+## 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 Unlabeled | Accuracy Front | Accuracy Back | Iou Unlabeled | Iou Front | Iou Back |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:------------------:|:--------------:|:-------------:|:-------------:|:---------:|:--------:|
+| 0.7118        | 0.91  | 20   | 0.8470          | 0.5709   | 0.8685        | 0.8676           | nan                | 0.8772         | 0.8598        | 0.0           | 0.8598    | 0.8530   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1
+- Datasets 2.8.0
+- Tokenizers 0.13.0.dev0