metadata
license: mit
base_model: w11wo/indonesian-roberta-base-sentiment-classifier
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: test-reward-model
results: []
test-reward-model
This model is a fine-tuned version of w11wo/indonesian-roberta-base-sentiment-classifier on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6974
- Accuracy: 0.7368
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5895 | 1.25 | 50 | 0.6307 | 0.6842 |
| 0.3559 | 2.5 | 100 | 0.6381 | 0.7105 |
| 0.1523 | 3.75 | 150 | 0.6340 | 0.7105 |
| 0.0694 | 5.0 | 200 | 0.6974 | 0.7368 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.15.2