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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: fanaf91318/image-classifier-78-10-epoch-clean |
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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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# fanaf91318/image-classifier-78-10-epoch-clean |
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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: 0.7377 |
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- Validation Loss: 1.1864 |
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- Train Accuracy: 0.7046 |
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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': 0.0001, 'decay_steps': 59000, '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': 0.01} |
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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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| 3.7894 | 3.2415 | 0.3476 | 0 | |
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| 2.9188 | 2.5308 | 0.4824 | 1 | |
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| 2.2939 | 2.0642 | 0.5501 | 2 | |
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| 1.8570 | 1.7353 | 0.5962 | 3 | |
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| 1.5300 | 1.5211 | 0.6369 | 4 | |
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| 1.2610 | 1.4143 | 0.6612 | 5 | |
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| 1.0738 | 1.2610 | 0.6965 | 6 | |
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| 0.9197 | 1.2404 | 0.6897 | 7 | |
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| 0.8280 | 1.2069 | 0.6985 | 8 | |
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| 0.7377 | 1.1864 | 0.7046 | 9 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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