| | --- |
| | library_name: transformers |
| | tags: |
| | - generated_from_keras_callback |
| | model-index: |
| | - name: IndoBERT_intent_classification |
| | results: [] |
| | license: mit |
| | language: |
| | - id |
| | metrics: |
| | - accuracy |
| | - recall |
| | - precision |
| | - f1 |
| | base_model: |
| | - indobenchmark/indobert-base-p1 |
| | --- |
| | |
| | <!-- 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. --> |
| |
|
| | # IndoBERT_intent_classification |
| |
|
| | This model was trained from scratch on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| |
|
| |
|
| | ## 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: None |
| | - training_precision: float32 |
| | |
| | ### Training results |
| | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.46.2 |
| | - TensorFlow 2.17.1 |
| | - Tokenizers 0.20.3 |
