| | --- |
| | base_model: microsoft/codebert-base-mlm |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: ASTBERT-cb-5k-methods |
| | 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. --> |
| |
|
| | # ASTBERT-cb-5k-methods |
| |
|
| | This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Train Loss: 0.0903 |
| | - Train Accuracy: 0.9806 |
| | - Epoch: 9 |
| |
|
| | ## 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': 1e-04, '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 | Epoch | |
| | |:----------:|:--------------:|:-----:| |
| | | 1.2016 | 0.8863 | 0 | |
| | | 0.5520 | 0.9294 | 1 | |
| | | 0.4975 | 0.9315 | 2 | |
| | | 0.4456 | 0.9353 | 3 | |
| | | 0.3840 | 0.9391 | 4 | |
| | | 0.3186 | 0.9443 | 5 | |
| | | 0.2513 | 0.9517 | 6 | |
| | | 0.1874 | 0.9614 | 7 | |
| | | 0.1312 | 0.9718 | 8 | |
| | | 0.0903 | 0.9806 | 9 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.31.0 |
| | - TensorFlow 2.10.0 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.13.3 |
| |
|
