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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-384 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: Prahas10/roof-sample |
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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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# Prahas10/roof-sample |
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This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0745 |
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- Validation Loss: 0.3751 |
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- Train Accuracy: 0.9036 |
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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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 1930, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.0001} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 2.4213 | 2.1960 | 0.3976 | 0 | |
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| 1.4980 | 1.6884 | 0.5542 | 1 | |
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| 0.8368 | 1.2810 | 0.6386 | 2 | |
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| 0.4281 | 1.0031 | 0.7108 | 3 | |
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| 0.2528 | 0.9361 | 0.7108 | 4 | |
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| 0.1838 | 1.1263 | 0.6145 | 5 | |
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| 0.4895 | 0.7904 | 0.8072 | 6 | |
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| 0.1850 | 0.5048 | 0.9277 | 7 | |
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| 0.0928 | 0.3762 | 0.9277 | 8 | |
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| 0.0745 | 0.3751 | 0.9036 | 9 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.2 |
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