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--- |
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license: other |
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tags: |
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- vision |
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- image-segmentation |
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datasets: |
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- oxford_pets |
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widget: |
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- src: >- |
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https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg |
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example_title: Dog |
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- src: >- |
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https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg |
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example_title: Cat |
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library_name: keras |
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title: Segmentation |
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sdk: gradio |
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sdk_version: 3.44.4 |
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app_file: app.py |
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pinned: false |
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--- |
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# sayakpaul/mit-b0-finetuned-pets |
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the [Oxford Pets](https://www.robots.ox.ac.uk/~vgg/data/pets/) dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1481 |
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- Validation Loss: 0.1962 |
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- Epoch: 9 |
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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': 6e-05, '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 | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.2821 | 0.2146 | 0 | |
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| 0.2090 | 0.1983 | 1 | |
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| 0.1920 | 0.2002 | 2 | |
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| 0.1805 | 0.1868 | 3 | |
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| 0.1716 | 0.1920 | 4 | |
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| 0.1651 | 0.1850 | 5 | |
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| 0.1537 | 0.1943 | 6 | |
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| 0.1570 | 0.1842 | 7 | |
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| 0.1462 | 0.1833 | 8 | |
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| 0.1481 | 0.1962 | 9 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- TensorFlow 2.10.1 |
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- Tokenizers 0.13.2 |
