| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: GCopoulos/bert-base-uncased-finetuned-answer_pol |
| | 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. --> |
| |
|
| | # GCopoulos/bert-base-uncased-finetuned-answer_pol |
| | |
| | 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: 0.0261 |
| | - Validation Loss: 0.4267 |
| | - Train F1: 0.8825 |
| | - 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 7e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 7e-05, 'decay_steps': 653, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 10, 'power': 1.0, '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 | Validation Loss | Train F1 | Epoch | |
| | |:----------:|:---------------:|:--------:|:-----:| |
| | | 0.3981 | 0.4720 | 0.8450 | 0 | |
| | | 0.0820 | 0.3742 | 0.8866 | 1 | |
| | | 0.0261 | 0.4267 | 0.8825 | 2 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.30.2 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.12.0 |
| | - Tokenizers 0.13.3 |
| | |
