update model card README.md

README.md

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+---
+license: other
+tags:
+- generated_from_trainer
+model-index:
+- name: deprem_satellite_semantic_xview2_large_2
+  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. -->
+
+# deprem_satellite_semantic_xview2_large_2
+
+This model is a fine-tuned version of [nvidia/mit-b5](https://huggingface.co/nvidia/mit-b5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.9892
+- eval_mean_iou: 0.3093
+- eval_mean_accuracy: 0.3576
+- eval_overall_accuracy: 0.9646
+- eval_accuracy_background: 0.9860
+- eval_accuracy_nodamage: 0.8022
+- eval_accuracy_minordamaged: 0.0
+- eval_accuracy_majordamaged: 0.0
+- eval_accuracy_destroyed: 0.0
+- eval_iou_background: 0.9677
+- eval_iou_nodamage: 0.5789
+- eval_iou_minordamaged: 0.0
+- eval_iou_majordamaged: 0.0
+- eval_iou_destroyed: 0.0
+- eval_runtime: 200.8095
+- eval_samples_per_second: 4.646
+- eval_steps_per_second: 4.646
+- epoch: 19.3
+- step: 27000
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 2
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 25
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.9.0
+- Tokenizers 0.13.2