| --- |
| license: apache-2.0 |
| base_model: bert-base-uncased |
| tags: |
| - generated_from_keras_callback |
| model-index: |
| - name: dummy-model |
| 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. --> |
|
|
| # dummy-model |
|
|
| This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Train Loss: 0.0608 |
| - Train Accuracy: 0.9804 |
| - Validation Loss: 0.2496 |
| - Validation Accuracy: 0.9140 |
| - Epoch: 2 |
|
|
| ## 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', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 25257, '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-07, 'amsgrad': False} |
| - training_precision: float32 |
| |
| ### Training results |
| |
| | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch | |
| |:----------:|:--------------:|:---------------:|:-------------------:|:-----:| |
| | 0.2262 | 0.9143 | 0.2503 | 0.9094 | 0 | |
| | 0.1133 | 0.9622 | 0.2515 | 0.9083 | 1 | |
| | 0.0608 | 0.9804 | 0.2496 | 0.9140 | 2 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.1 |
| - TensorFlow 2.13.0 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
| |
