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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: Ahmed007/Dr.Smart_v2 |
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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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# Ahmed007/Dr.Smart_v2 |
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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: 0.2290 |
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- Train Accuracy: 0.9618 |
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- Train Top-3-accuracy: 0.9950 |
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- Validation Loss: 0.7078 |
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- Validation Accuracy: 0.7866 |
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- Validation Top-3-accuracy: 0.9473 |
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- Epoch: 4 |
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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': 2198, '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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| 1.5647 | 0.5528 | 0.8140 | 1.2034 | 0.6545 | 0.8955 | 0 | |
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| 0.9375 | 0.7526 | 0.9398 | 0.9144 | 0.7330 | 0.9277 | 1 | |
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| 0.5873 | 0.8659 | 0.9756 | 0.7693 | 0.7777 | 0.9464 | 2 | |
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| 0.3585 | 0.9294 | 0.9891 | 0.7194 | 0.7902 | 0.9473 | 3 | |
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| 0.2290 | 0.9618 | 0.9950 | 0.7078 | 0.7866 | 0.9473 | 4 | |
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### Framework versions |
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- Transformers 4.31.0.dev0 |
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- TensorFlow 2.12.0 |
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- Datasets 2.1.0 |
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- Tokenizers 0.13.3 |
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