indobert-sentiment-analysis
This model is a fine-tuned version of indobenchmark/indobert-base-p2 on the indonlu dataset. It achieves the following results on the evaluation set:
- Loss: 0.3210
- Accuracy: 0.916
- F1: 0.8879
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:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1
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Model tree for rikidharmawan/indobert-sentiment-analysis
Base model
indobenchmark/indobert-base-p2Dataset used to train rikidharmawan/indobert-sentiment-analysis
Evaluation results
- Accuracy on indonlutest set self-reported0.916
- F1 on indonlutest set self-reported0.888