metadata
license: mit
base_model: w11wo/indonesian-roberta-base-sentiment-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: indonesia-election-sentiment-classification-finetuned-roberta-1
results: []
indonesia-election-sentiment-classification-finetuned-roberta-1
This model is a fine-tuned version of w11wo/indonesian-roberta-base-sentiment-classifier on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2566
- Accuracy: 0.5565
- F1 Weighted: 0.5613
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted |
|---|---|---|---|---|---|
| No log | 1.0 | 38 | 0.9822 | 0.4859 | 0.4578 |
| No log | 2.0 | 76 | 1.3101 | 0.5040 | 0.4872 |
| No log | 3.0 | 114 | 1.3172 | 0.5504 | 0.5300 |
| No log | 4.0 | 152 | 1.8168 | 0.5222 | 0.5283 |
| No log | 5.0 | 190 | 2.0302 | 0.5524 | 0.5515 |
| No log | 6.0 | 228 | 2.2566 | 0.5565 | 0.5613 |
| No log | 7.0 | 266 | 2.2423 | 0.5585 | 0.5607 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1