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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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base_model: google/vit-base-patch16-224-in21k |
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model-index: |
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- name: aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier |
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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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# aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier |
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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: 0.1749 |
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- Train Accuracy: 0.9686 |
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- Train Top-3-accuracy: 0.9922 |
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- Validation Loss: 0.7294 |
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- Validation Accuracy: 0.7906 |
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- Validation Top-3-accuracy: 0.9437 |
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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': 3665, '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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| 1.3672 | 0.6720 | 0.8895 | 0.8886 | 0.7613 | 0.9415 | 0 | |
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| 0.6745 | 0.8197 | 0.9615 | 0.7492 | 0.7790 | 0.9427 | 1 | |
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| 0.4135 | 0.8942 | 0.9814 | 0.7119 | 0.7848 | 0.9475 | 2 | |
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| 0.2566 | 0.9449 | 0.9892 | 0.7212 | 0.7860 | 0.9451 | 3 | |
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| 0.1749 | 0.9686 | 0.9922 | 0.7294 | 0.7906 | 0.9437 | 4 | |
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### Framework versions |
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- Transformers 4.29.1 |
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- TensorFlow 2.11.0 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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