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--- |
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library_name: transformers |
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tags: |
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- code |
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model-index: |
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- name: indobert_sentiment_analysis |
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results: [] |
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license: mit |
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language: |
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- id |
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metrics: |
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- accuracy |
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- precision |
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- recall |
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- f1 |
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base_model: |
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- indobenchmark/indobert-base-p1 |
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new_version: iqbalpurba26/indobert_sentiment_analysis |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# indobert_sentiment_analysis |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: None |
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- training_precision: float32 |
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### Training results |
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### Framework versions |
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- Transformers 4.46.2 |
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- TensorFlow 2.17.0 |
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- Tokenizers 0.20.3 |
