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--- |
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library_name: transformers |
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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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- image-classification |
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- tensorflow |
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- vision |
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- generated_from_keras_callback |
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model-index: |
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- name: RenSurii/vit-base-patch16-224-in21k-finetuned-image-classification |
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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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# RenSurii/vit-base-patch16-224-in21k-finetuned-image-classification |
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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 the mnist dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.3712 |
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- Train Accuracy: 0.9621 |
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- Validation Loss: 0.3312 |
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- Validation Accuracy: 0.9621 |
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- Epoch: 5 |
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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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': 1.0, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 6000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
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| 2.0107 | 0.8548 | 1.5288 | 0.8548 | 0 | |
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| 1.3538 | 0.9149 | 0.9913 | 0.9149 | 1 | |
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| 0.9517 | 0.934 | 0.7421 | 0.9340 | 2 | |
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| 0.6882 | 0.9467 | 0.5690 | 0.9467 | 3 | |
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| 0.4999 | 0.9554 | 0.4264 | 0.9554 | 4 | |
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| 0.3712 | 0.9621 | 0.3312 | 0.9621 | 5 | |
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### Framework versions |
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- Transformers 4.47.0.dev0 |
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- TensorFlow 2.18.0 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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