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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: Imene/vit-base-patch16-224-in21k-Writer-Identification |
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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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# Imene/vit-base-patch16-224-in21k-Writer-Identification |
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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: 2.9065 |
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- Train Accuracy: 0.6173 |
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- Train Top-3-accuracy: 0.8384 |
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- Validation Loss: 3.0602 |
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- Validation Accuracy: 0.4255 |
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- Validation Top-3-accuracy: 0.6884 |
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- Epoch: 10 |
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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': 1e-05, 'decay_steps': 1500, '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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| 3.8889 | 0.0401 | 0.0971 | 3.8524 | 0.0501 | 0.1577 | 0 | |
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| 3.7785 | 0.1516 | 0.3210 | 3.7267 | 0.1464 | 0.3392 | 1 | |
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| 3.6188 | 0.2656 | 0.4854 | 3.5946 | 0.2115 | 0.4143 | 2 | |
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| 3.4631 | 0.3276 | 0.5860 | 3.4570 | 0.2728 | 0.5232 | 3 | |
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| 3.3386 | 0.3959 | 0.6599 | 3.3664 | 0.3091 | 0.5757 | 4 | |
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| 3.2366 | 0.4500 | 0.7094 | 3.2844 | 0.3342 | 0.5895 | 5 | |
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| 3.1510 | 0.4879 | 0.7526 | 3.2364 | 0.3442 | 0.6170 | 6 | |
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| 3.0757 | 0.5246 | 0.7823 | 3.1752 | 0.3830 | 0.6508 | 7 | |
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| 3.0107 | 0.5612 | 0.8058 | 3.1281 | 0.4043 | 0.6596 | 8 | |
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| 2.9549 | 0.5894 | 0.8212 | 3.0903 | 0.4255 | 0.6834 | 9 | |
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| 2.9065 | 0.6173 | 0.8384 | 3.0602 | 0.4255 | 0.6884 | 10 | |
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### Framework versions |
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- Transformers 4.21.3 |
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- TensorFlow 2.8.2 |
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- Datasets 2.4.0 |
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- Tokenizers 0.12.1 |
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