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--- |
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library_name: transformers |
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license: other |
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base_model: nancyalarabawy/segformer-finetuned-segments-plantleafdisease-may-25 |
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tags: |
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- vision |
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- image-segmentation |
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- generated_from_trainer |
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model-index: |
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- name: segformer-finetuned-segments-plantleafdisease-DEC |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# segformer-finetuned-segments-plantleafdisease-DEC |
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This model is a fine-tuned version of [nancyalarabawy/segformer-finetuned-segments-plantleafdisease-may-25](https://huggingface.co/nancyalarabawy/segformer-finetuned-segments-plantleafdisease-may-25) on the all plus aug dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.0249 |
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- eval_mean_iou: 0.7357 |
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- eval_mean_accuracy: 0.9156 |
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- eval_overall_accuracy: 0.9916 |
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- eval_accuracy_unlabeled: nan |
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- eval_accuracy_healthy: 0.9794 |
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- eval_accuracy_blast: 0.8521 |
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- eval_accuracy_background: 0.9975 |
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- eval_accuracy_alstonia herpes: 0.8728 |
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- eval_accuracy_mango anthracnose: 0.9309 |
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- eval_accuracy_pomengrate spots: 0.9346 |
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- eval_accuracy_blight spots: 0.8934 |
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- eval_accuracy_chlorisis: 0.9443 |
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- eval_accuracy_leaf spots: 0.9201 |
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- eval_accuracy_apple scab: 0.8382 |
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- eval_accuracy_black rot: 0.8716 |
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- eval_accuracy_cedar rust: 0.9525 |
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- eval_iou_unlabeled: 0.0 |
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- eval_iou_healthy: 0.9690 |
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- eval_iou_blast: 0.7758 |
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- eval_iou_background: 0.9954 |
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- eval_iou_alstonia herpes: 0.7583 |
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- eval_iou_mango anthracnose: 0.6425 |
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- eval_iou_pomengrate spots: 0.8681 |
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- eval_iou_blight spots: 0.6074 |
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- eval_iou_chlorisis: 0.9190 |
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- eval_iou_leaf spots: 0.7070 |
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- eval_iou_apple scab: 0.7455 |
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- eval_iou_black rot: 0.8060 |
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- eval_iou_cedar rust: 0.7695 |
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- eval_runtime: 155.0063 |
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- eval_samples_per_second: 16.915 |
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- eval_steps_per_second: 1.058 |
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- epoch: 13.3486 |
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- step: 17500 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 15 |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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