| | --- |
| | license: other |
| | tags: |
| | - vision |
| | - image-segmentation |
| | datasets: |
| | - oxford_pets |
| | widget: |
| | - src: >- |
| | https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000001.jpg |
| | example_title: Dog |
| | - src: >- |
| | https://huggingface.co/datasets/hf-internal-testing/fixtures_ade20k/resolve/main/ADE_val_00000002.jpg |
| | example_title: Cat |
| | library_name: keras |
| |
|
| |
|
| | title: Segmentation |
| | sdk: gradio |
| | sdk_version: 3.44.4 |
| | app_file: app.py |
| | pinned: false |
| | --- |
| | |
| | # sayakpaul/mit-b0-finetuned-pets |
| |
|
| | 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. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.1481 |
| | - Validation Loss: 0.1962 |
| | - Epoch: 9 |
| |
|
| | ## 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: |
| | - optimizer: {'name': 'Adam', 'learning_rate': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| | - training_precision: float32 |
| |
|
| | ### Training results |
| |
|
| | | Train Loss | Validation Loss | Epoch | |
| | |:----------:|:---------------:|:-----:| |
| | | 0.2821 | 0.2146 | 0 | |
| | | 0.2090 | 0.1983 | 1 | |
| | | 0.1920 | 0.2002 | 2 | |
| | | 0.1805 | 0.1868 | 3 | |
| | | 0.1716 | 0.1920 | 4 | |
| | | 0.1651 | 0.1850 | 5 | |
| | | 0.1537 | 0.1943 | 6 | |
| | | 0.1570 | 0.1842 | 7 | |
| | | 0.1462 | 0.1833 | 8 | |
| | | 0.1481 | 0.1962 | 9 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.25.1 |
| | - TensorFlow 2.10.1 |
| | - Tokenizers 0.13.2 |
