Model_analisis_sentimen
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the indonlu dataset. It achieves the following results on the evaluation set:
- Loss: 0.4175
- Accuracy: 0.9413
- Precision: 0.9167
- Recall: 0.9068
- F1: 0.9116
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for hanifnoerr/Model_analisis_sentimen
Base model
indobenchmark/indobert-base-p1Dataset used to train hanifnoerr/Model_analisis_sentimen
Evaluation results
- Accuracy on indonluvalidation set self-reported0.941
- Precision on indonluvalidation set self-reported0.917
- Recall on indonluvalidation set self-reported0.907
- F1 on indonluvalidation set self-reported0.912