File size: 4,543 Bytes
d375d14 a507a9f 0edc961 a507a9f e30102b a507a9f d375d14 052d47c 28714cc 408d51a 38cff27 94d07e5 dcbd53b 39a820f 35eb5f4 3d6ab87 0f89580 5e2ffa0 0edc961 465957c c3ce4ee 9983d10 29b446c e30102b a507a9f d375d14 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 |
---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: dwiedarioo/vit-base-patch16-224-in21k-final2multibrainmri
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# dwiedarioo/vit-base-patch16-224-in21k-final2multibrainmri
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.
It achieves the following results on the evaluation set:
- Train Loss: 0.0516
- Train Accuracy: 1.0
- Train Top-3-accuracy: 1.0
- Validation Loss: 0.1325
- Validation Accuracy: 0.9784
- Validation Top-3-accuracy: 0.9957
- Epoch: 17
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- 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}
- training_precision: mixed_float16
### Training results
| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
| 2.2742 | 0.3856 | 0.6522 | 1.8596 | 0.6112 | 0.8337 | 0 |
| 1.5673 | 0.6919 | 0.8778 | 1.3120 | 0.7883 | 0.9136 | 1 |
| 1.0377 | 0.8622 | 0.9576 | 0.9078 | 0.8661 | 0.9611 | 2 |
| 0.6816 | 0.9511 | 0.9859 | 0.6497 | 0.9222 | 0.9849 | 3 |
| 0.4698 | 0.9805 | 0.9939 | 0.5104 | 0.9395 | 0.9870 | 4 |
| 0.3375 | 0.9897 | 0.9973 | 0.3975 | 0.9590 | 0.9892 | 5 |
| 0.2554 | 0.9966 | 0.9992 | 0.3107 | 0.9676 | 0.9978 | 6 |
| 0.2346 | 0.9905 | 0.9992 | 0.3804 | 0.9287 | 0.9914 | 7 |
| 0.1976 | 0.9935 | 0.9989 | 0.3250 | 0.9546 | 0.9914 | 8 |
| 0.1686 | 0.9939 | 0.9992 | 0.4980 | 0.8920 | 0.9762 | 9 |
| 0.1423 | 0.9969 | 0.9996 | 0.2129 | 0.9654 | 0.9957 | 10 |
| 0.1073 | 0.9992 | 1.0 | 0.1840 | 0.9741 | 0.9978 | 11 |
| 0.0925 | 0.9992 | 1.0 | 0.1714 | 0.9719 | 0.9978 | 12 |
| 0.0809 | 0.9992 | 1.0 | 0.1595 | 0.9719 | 0.9978 | 13 |
| 0.0715 | 0.9992 | 1.0 | 0.1503 | 0.9719 | 0.9978 | 14 |
| 0.0637 | 1.0 | 1.0 | 0.1426 | 0.9762 | 0.9978 | 15 |
| 0.0573 | 0.9996 | 1.0 | 0.1361 | 0.9784 | 0.9978 | 16 |
| 0.0516 | 1.0 | 1.0 | 0.1325 | 0.9784 | 0.9957 | 17 |
### Framework versions
- Transformers 4.35.0
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1
|