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--- |
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license: other |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: AhamadShaik/SegFormer_RESIZE_NLM |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# AhamadShaik/SegFormer_RESIZE_NLM |
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1354 |
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- Train Dice Coef: 0.6853 |
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- Train Iou: 0.5329 |
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- Validation Loss: 0.0855 |
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- Validation Dice Coef: 0.7853 |
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- Validation Iou: 0.6544 |
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- Train Lr: 1e-04 |
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- Epoch: 1 |
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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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- optimizer: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Dice Coef | Train Iou | Validation Loss | Validation Dice Coef | Validation Iou | Train Lr | Epoch | |
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|:----------:|:---------------:|:---------:|:---------------:|:--------------------:|:--------------:|:--------:|:-----:| |
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| 0.2282 | 0.5657 | 0.4102 | 0.1322 | 0.6524 | 0.4967 | 1e-04 | 0 | |
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| 0.1354 | 0.6853 | 0.5329 | 0.0855 | 0.7853 | 0.6544 | 1e-04 | 1 | |
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### Framework versions |
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- Transformers 4.27.4 |
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- TensorFlow 2.10.1 |
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- Datasets 2.11.0 |
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- Tokenizers 0.13.3 |
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