| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_keras_callback |
| base_model: bert-base-cased |
| model-index: |
| - name: pbwt/th1 |
| 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. --> |
|
|
| # pbwt/th1 |
|
|
| 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: 0.0008 |
| - Train Sparse Categorical Accuracy: 1.0 |
| - Validation Loss: 0.0005 |
| - Validation Sparse Categorical Accuracy: 1.0 |
| - 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': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
| - training_precision: float32 |
|
|
| ### Training results |
|
|
| | Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch | |
| |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:| |
| | 0.1184 | 0.9650 | 0.0017 | 1.0 | 0 | |
| | 0.0015 | 1.0 | 0.0008 | 1.0 | 1 | |
| | 0.0008 | 1.0 | 0.0005 | 1.0 | 2 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.18.0 |
| - TensorFlow 2.6.2 |
| - Datasets 2.4.0 |
| - Tokenizers 0.12.1 |
|
|
