File size: 3,056 Bytes
a20c424 ba9dbf1 a20c424 |
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 |
---
tags:
- generated_from_keras_callback
model-index:
- name: jjpetrisko/authentiface_v1.0f
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. -->
# jjpetrisko/authentiface_v1.0f
## 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': 13356700, '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
| Epoch | Train Loss | Validation Loss | Validation Accuracy |
|:-----:|:----------:|:---------------:|:-------------------:|
| 1 | 0.3307 | 0.2049 | 0.9166 |
| 2 | 0.1693 | 0.1199 | 0.9548 |
| 3 | 0.1128 | 0.0903 | 0.9658 |
| 4 | 0.0825 | 0.0644 | 0.9768 |
| 5 | 0.0641 | 0.0539 | 0.9805 |
| 6 | 0.0520 | 0.0560 | 0.9797 |
| 7 | 0.0406 | 0.0401 | 0.9855 |
| 8 | 0.0345 | 0.0343 | 0.9876 |
| 9 | 0.0304 | 0.0302 | 0.9894 |
| 10 | 0.0248 | 0.0300 | 0.9897 |
| 11 | 0.0222 | 0.0290 | 0.9894 |
| 12 | 0.0202 | 0.0329 | 0.9882 |
| 13 | 0.0175 | 0.0276 | 0.9909 |
| 14 | 0.0162 | 0.0263 | 0.9921 |
| 15 | 0.0154 | 0.0273 | 0.9913 |
| 16 | 0.0139 | 0.0236 | 0.9917 |
| 17 | 0.0125 | 0.0500 | 0.9842 |
| 18 | 0.0109 | 0.0236 | 0.9919 |
| 19 | 0.0096 | 0.0332 | 0.9894 |
| 20 | 0.0097 | 0.0272 | 0.9923 |
| 21 | 0.0092 | 0.0240 | 0.9931 |
| 22 | 0.0086 | 0.0254 | 0.9923 |
| 23 | 0.0079 | 0.0287 | 0.9916 |
| 24 | 0.0076 | 0.0338 | 0.9900 |
| 25 | 0.0070 | 0.0254 | 0.9926 |
| 26 | 0.0066 | 0.0266 | 0.9918 |
| 27 | 0.0065 | 0.0284 | 0.9925 |
| 28 | 0.0063 | 0.0268 | 0.9927 |
### Framework versions
- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2
|