update model card README.md

README.md

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+---
+license: other
+tags:
+- generated_from_trainer
+model-index:
+- name: segformer-b0-finetuned-fish-almogm
+  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-fish-almogm
+
+This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0068
+- eval_mean_iou: 0.4831
+- eval_mean_accuracy: 1.0000
+- eval_overall_accuracy: 1.0000
+- eval_accuracy_background: 1.0000
+- eval_accuracy_fish: nan
+- eval_iou_background: 0.9662
+- eval_iou_fish: 0.0
+- eval_runtime: 62.449
+- eval_samples_per_second: 0.801
+- eval_steps_per_second: 0.4
+- epoch: 6.46
+- step: 640
+
+## 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
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.0
+- Tokenizers 0.13.2