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---
library_name: transformers
tags:
- code
model-index:
- name: indobert_sentiment_analysis
results: []
license: mit
language:
- id
metrics:
- accuracy
- precision
- recall
- f1
base_model:
- indobenchmark/indobert-base-p1
new_version: iqbalpurba26/indobert_sentiment_analysis
---
<!-- 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_sentiment_analysis
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 2.17.0
- Tokenizers 0.20.3 |