metadata
library_name: transformers
license: mit
base_model: Labira/LabiraPJOK_5x_50
tags:
- generated_from_keras_callback
model-index:
- name: Labira/LabiraPJOK_6x_50
results: []
Labira/LabiraPJOK_6x_50
This model is a fine-tuned version of Labira/LabiraPJOK_5x_50 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.1707
- Validation Loss: 2.0365
- Epoch: 22
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': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 150, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.0573 | 2.3329 | 0 |
| 1.3047 | 2.0503 | 1 |
| 1.1311 | 1.8969 | 2 |
| 0.4437 | 1.8286 | 3 |
| 0.4078 | 1.8199 | 4 |
| 0.5102 | 1.8192 | 5 |
| 0.4207 | 1.8550 | 6 |
| 0.2787 | 1.9171 | 7 |
| 0.4091 | 1.9373 | 8 |
| 0.3602 | 1.9061 | 9 |
| 0.2561 | 1.8889 | 10 |
| 0.2233 | 1.8902 | 11 |
| 0.2392 | 1.8824 | 12 |
| 0.1526 | 1.8853 | 13 |
| 0.1237 | 1.9106 | 14 |
| 0.1993 | 1.9339 | 15 |
| 0.3208 | 1.9720 | 16 |
| 0.1681 | 2.0189 | 17 |
| 0.1451 | 2.0625 | 18 |
| 0.2050 | 2.0801 | 19 |
| 0.1442 | 2.0687 | 20 |
| 0.2149 | 2.0457 | 21 |
| 0.1707 | 2.0365 | 22 |
Framework versions
- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.1
- Tokenizers 0.19.1