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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