| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: HASAN55/bert-finetuned-squad |
| | 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. --> |
| |
|
| | # HASAN55/bert-finetuned-squad |
| |
|
| | This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.8982 |
| | - Train End Logits Accuracy: 0.7715 |
| | - Train Start Logits Accuracy: 0.7266 |
| | - Validation Loss: 0.0 |
| | - Validation End Logits Accuracy: 0.0 |
| | - Validation Start Logits Accuracy: 0.0 |
| | - Epoch: 1 |
| |
|
| | ## 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': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 192, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, '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: mixed_float16 |
| | |
| | ### Training results |
| | |
| | | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch | |
| | |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:| |
| | | 1.4532 | 0.6299 | 0.6025 | 0.0 | 0.0 | 0.0 | 0 | |
| | | 0.8982 | 0.7715 | 0.7266 | 0.0 | 0.0 | 0.0 | 1 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.27.4 |
| | - TensorFlow 2.12.0 |
| | - Datasets 2.11.0 |
| | - Tokenizers 0.13.2 |
| | |
