metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_keras_callback
model-index:
- name: aditnnda/felidae_klasifikasi_fix
results: []
aditnnda/felidae_klasifikasi_fix
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.2941
- Train Accuracy: 0.9180
- Validation Loss: 0.2691
- Validation Accuracy: 0.9180
- Epoch: 49
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: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 9100, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
---|---|---|---|---|
1.5677 | 0.6885 | 1.4799 | 0.6885 | 0 |
1.4926 | 0.9180 | 1.3584 | 0.9180 | 1 |
1.3957 | 0.9016 | 1.2332 | 0.9016 | 2 |
1.3151 | 0.8361 | 1.1098 | 0.8361 | 3 |
1.1756 | 0.8525 | 0.9886 | 0.8525 | 4 |
1.1173 | 0.8852 | 0.8775 | 0.8852 | 5 |
1.0196 | 0.9016 | 0.8042 | 0.9016 | 6 |
0.9451 | 0.9344 | 0.6991 | 0.9344 | 7 |
0.9189 | 0.9508 | 0.6396 | 0.9508 | 8 |
0.8269 | 0.9672 | 0.5717 | 0.9672 | 9 |
0.7581 | 0.9836 | 0.5063 | 0.9836 | 10 |
0.7328 | 0.9672 | 0.4772 | 0.9672 | 11 |
0.6639 | 0.9508 | 0.4691 | 0.9508 | 12 |
0.7082 | 0.9180 | 0.4597 | 0.9180 | 13 |
0.6607 | 0.9672 | 0.4006 | 0.9672 | 14 |
0.7278 | 0.9508 | 0.3966 | 0.9508 | 15 |
0.6285 | 0.9508 | 0.3669 | 0.9508 | 16 |
0.5902 | 0.9836 | 0.3321 | 0.9836 | 17 |
0.5963 | 0.9344 | 0.3899 | 0.9344 | 18 |
0.6273 | 0.9344 | 0.3246 | 0.9344 | 19 |
0.5917 | 0.9016 | 0.4248 | 0.9016 | 20 |
0.5190 | 0.9180 | 0.3575 | 0.9180 | 21 |
0.4991 | 0.9508 | 0.3060 | 0.9508 | 22 |
0.4861 | 0.9344 | 0.3244 | 0.9344 | 23 |
0.4650 | 0.9344 | 0.3014 | 0.9344 | 24 |
0.5044 | 0.9508 | 0.2727 | 0.9508 | 25 |
0.4232 | 0.9672 | 0.2439 | 0.9672 | 26 |
0.4247 | 0.9672 | 0.2233 | 0.9672 | 27 |
0.4732 | 0.9508 | 0.2857 | 0.9508 | 28 |
0.4222 | 1.0 | 0.1937 | 1.0 | 29 |
0.4165 | 0.9836 | 0.1996 | 0.9836 | 30 |
0.3979 | 0.9508 | 0.2074 | 0.9508 | 31 |
0.3691 | 0.9344 | 0.2627 | 0.9344 | 32 |
0.3094 | 0.9344 | 0.2641 | 0.9344 | 33 |
0.3726 | 0.9508 | 0.2224 | 0.9508 | 34 |
0.3503 | 0.9508 | 0.2241 | 0.9508 | 35 |
0.3832 | 0.9344 | 0.2274 | 0.9344 | 36 |
0.3765 | 0.9508 | 0.2421 | 0.9508 | 37 |
0.3927 | 0.9508 | 0.1979 | 0.9508 | 38 |
0.2968 | 0.9672 | 0.1857 | 0.9672 | 39 |
0.3489 | 0.9508 | 0.2158 | 0.9508 | 40 |
0.4102 | 0.9672 | 0.1951 | 0.9672 | 41 |
0.3842 | 0.9672 | 0.1971 | 0.9672 | 42 |
0.3417 | 0.8852 | 0.3686 | 0.8852 | 43 |
0.3219 | 0.9344 | 0.2255 | 0.9344 | 44 |
0.3671 | 0.9672 | 0.1570 | 0.9672 | 45 |
0.3948 | 0.9344 | 0.2217 | 0.9344 | 46 |
0.3201 | 0.9672 | 0.1993 | 0.9672 | 47 |
0.3612 | 0.9508 | 0.1936 | 0.9508 | 48 |
0.2941 | 0.9180 | 0.2691 | 0.9180 | 49 |
Framework versions
- Transformers 4.35.1
- TensorFlow 2.14.0
- Datasets 2.14.6
- Tokenizers 0.14.1