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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: YKXBCi/vit-base-patch16-224-in21k-euroSat |
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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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# YKXBCi/vit-base-patch16-224-in21k-euroSat |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0495 |
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- Train Accuracy: 0.9948 |
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- Train Top-3-accuracy: 0.9999 |
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- Validation Loss: 0.0782 |
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- Validation Accuracy: 0.9839 |
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- Validation Top-3-accuracy: 1.0 |
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- Epoch: 2 |
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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: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3585, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000} |
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- training_precision: mixed_float16 |
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### Training results |
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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch | |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:| |
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| 0.4593 | 0.9478 | 0.9912 | 0.1558 | 0.9809 | 0.9995 | 0 | |
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| 0.1008 | 0.9876 | 0.9997 | 0.0855 | 0.9856 | 1.0 | 1 | |
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| 0.0495 | 0.9948 | 0.9999 | 0.0782 | 0.9839 | 1.0 | 2 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- TensorFlow 2.6.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.12.1 |
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