metadata
license: mit
base_model: hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: sentiment
results: []
sentiment
This model is a fine-tuned version of hanifnoerr/Fine-tuned-Indonesian-Sentiment-Classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6815
- Accuracy: 0.7266
- Precision: 0.7267
- Recall: 0.7266
- F1: 0.7267
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.7972 | 1.0 | 1301 | 0.6830 | 0.7120 | 0.7230 | 0.7120 | 0.7073 |
| 0.5085 | 2.0 | 2602 | 0.6815 | 0.7266 | 0.7267 | 0.7266 | 0.7267 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2