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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: dwiedarioo/vit-base-patch16-224-in21k-final2multibrainmri |
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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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# dwiedarioo/vit-base-patch16-224-in21k-final2multibrainmri |
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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: 0.0072 |
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- Train Accuracy: 1.0 |
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- Train Top-3-accuracy: 1.0 |
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- Validation Loss: 0.1111 |
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- Validation Accuracy: 0.9719 |
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- Validation Top-3-accuracy: 0.9914 |
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- Epoch: 49 |
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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': {'module': 'transformers.optimization_tf', 'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 8200, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.8999999761581421, 'beta_2': 0.9990000128746033, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}, 'registered_name': 'AdamWeightDecay'}, '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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| 2.2742 | 0.3856 | 0.6522 | 1.8596 | 0.6112 | 0.8337 | 0 | |
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| 1.5673 | 0.6919 | 0.8778 | 1.3120 | 0.7883 | 0.9136 | 1 | |
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| 1.0377 | 0.8622 | 0.9576 | 0.9078 | 0.8661 | 0.9611 | 2 | |
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| 0.6816 | 0.9511 | 0.9859 | 0.6497 | 0.9222 | 0.9849 | 3 | |
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| 0.4698 | 0.9805 | 0.9939 | 0.5104 | 0.9395 | 0.9870 | 4 | |
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| 0.3375 | 0.9897 | 0.9973 | 0.3975 | 0.9590 | 0.9892 | 5 | |
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| 0.2554 | 0.9966 | 0.9992 | 0.3107 | 0.9676 | 0.9978 | 6 | |
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| 0.2346 | 0.9905 | 0.9992 | 0.3804 | 0.9287 | 0.9914 | 7 | |
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| 0.1976 | 0.9935 | 0.9989 | 0.3250 | 0.9546 | 0.9914 | 8 | |
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| 0.1686 | 0.9939 | 0.9992 | 0.4980 | 0.8920 | 0.9762 | 9 | |
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| 0.1423 | 0.9969 | 0.9996 | 0.2129 | 0.9654 | 0.9957 | 10 | |
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| 0.1073 | 0.9992 | 1.0 | 0.1840 | 0.9741 | 0.9978 | 11 | |
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| 0.0925 | 0.9992 | 1.0 | 0.1714 | 0.9719 | 0.9978 | 12 | |
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| 0.0809 | 0.9992 | 1.0 | 0.1595 | 0.9719 | 0.9978 | 13 | |
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| 0.0715 | 0.9992 | 1.0 | 0.1503 | 0.9719 | 0.9978 | 14 | |
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| 0.0637 | 1.0 | 1.0 | 0.1426 | 0.9762 | 0.9978 | 15 | |
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| 0.0573 | 0.9996 | 1.0 | 0.1361 | 0.9784 | 0.9978 | 16 | |
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| 0.0516 | 1.0 | 1.0 | 0.1325 | 0.9784 | 0.9957 | 17 | |
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| 0.0469 | 1.0 | 1.0 | 0.1279 | 0.9784 | 0.9957 | 18 | |
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| 0.0427 | 1.0 | 1.0 | 0.1248 | 0.9784 | 0.9957 | 19 | |
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| 0.0392 | 1.0 | 1.0 | 0.1224 | 0.9784 | 0.9957 | 20 | |
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| 0.0359 | 1.0 | 1.0 | 0.1191 | 0.9784 | 0.9957 | 21 | |
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| 0.0331 | 1.0 | 1.0 | 0.1178 | 0.9762 | 0.9914 | 22 | |
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| 0.0306 | 1.0 | 1.0 | 0.1162 | 0.9784 | 0.9957 | 23 | |
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| 0.0284 | 1.0 | 1.0 | 0.1144 | 0.9784 | 0.9957 | 24 | |
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| 0.0264 | 1.0 | 1.0 | 0.1143 | 0.9741 | 0.9957 | 25 | |
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| 0.0246 | 1.0 | 1.0 | 0.1126 | 0.9762 | 0.9957 | 26 | |
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| 0.0230 | 1.0 | 1.0 | 0.1104 | 0.9784 | 0.9957 | 27 | |
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| 0.0215 | 1.0 | 1.0 | 0.1110 | 0.9762 | 0.9935 | 28 | |
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| 0.0201 | 1.0 | 1.0 | 0.1091 | 0.9762 | 0.9957 | 29 | |
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| 0.0189 | 1.0 | 1.0 | 0.1101 | 0.9741 | 0.9957 | 30 | |
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| 0.0178 | 1.0 | 1.0 | 0.1099 | 0.9762 | 0.9914 | 31 | |
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| 0.0167 | 1.0 | 1.0 | 0.1091 | 0.9762 | 0.9935 | 32 | |
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| 0.0158 | 1.0 | 1.0 | 0.1091 | 0.9762 | 0.9914 | 33 | |
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| 0.0149 | 1.0 | 1.0 | 0.1094 | 0.9741 | 0.9914 | 34 | |
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| 0.0141 | 1.0 | 1.0 | 0.1088 | 0.9719 | 0.9914 | 35 | |
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| 0.0134 | 1.0 | 1.0 | 0.1089 | 0.9762 | 0.9914 | 36 | |
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| 0.0127 | 1.0 | 1.0 | 0.1084 | 0.9741 | 0.9935 | 37 | |
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| 0.0120 | 1.0 | 1.0 | 0.1087 | 0.9741 | 0.9914 | 38 | |
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| 0.0114 | 1.0 | 1.0 | 0.1078 | 0.9741 | 0.9914 | 39 | |
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| 0.0109 | 1.0 | 1.0 | 0.1088 | 0.9719 | 0.9914 | 40 | |
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| 0.0104 | 1.0 | 1.0 | 0.1087 | 0.9719 | 0.9914 | 41 | |
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| 0.0099 | 1.0 | 1.0 | 0.1094 | 0.9719 | 0.9935 | 42 | |
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| 0.0094 | 1.0 | 1.0 | 0.1095 | 0.9719 | 0.9914 | 43 | |
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| 0.0090 | 1.0 | 1.0 | 0.1099 | 0.9719 | 0.9914 | 44 | |
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| 0.0086 | 1.0 | 1.0 | 0.1112 | 0.9719 | 0.9914 | 45 | |
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| 0.0082 | 1.0 | 1.0 | 0.1104 | 0.9719 | 0.9914 | 46 | |
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| 0.0079 | 1.0 | 1.0 | 0.1107 | 0.9719 | 0.9914 | 47 | |
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| 0.0075 | 1.0 | 1.0 | 0.1102 | 0.9741 | 0.9914 | 48 | |
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| 0.0072 | 1.0 | 1.0 | 0.1111 | 0.9719 | 0.9914 | 49 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- TensorFlow 2.14.0 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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