best_roberta_model_fold_4
This model is a fine-tuned version of ayameRushia/roberta-base-indonesian-sentiment-analysis-smsa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2676
- Accuracy: 0.8546
- Precision: 0.8334
- Recall: 0.8336
- F1: 0.8334
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 252 | 0.4839 | 0.8446 | 0.8238 | 0.8057 | 0.8132 |
| 0.4291 | 2.0 | 504 | 0.8905 | 0.8287 | 0.8060 | 0.8194 | 0.8089 |
| 0.4291 | 3.0 | 756 | 0.9640 | 0.8426 | 0.8142 | 0.8170 | 0.8156 |
| 0.1372 | 4.0 | 1008 | 1.0182 | 0.8406 | 0.8198 | 0.8103 | 0.8139 |
| 0.1372 | 5.0 | 1260 | 1.1472 | 0.8386 | 0.8238 | 0.8051 | 0.8134 |
| 0.0264 | 6.0 | 1512 | 1.2455 | 0.8367 | 0.8145 | 0.8022 | 0.8078 |
| 0.0264 | 7.0 | 1764 | 1.3009 | 0.8406 | 0.8221 | 0.8074 | 0.8139 |
| 0.0072 | 8.0 | 2016 | 1.3084 | 0.8486 | 0.8314 | 0.8187 | 0.8238 |
| 0.0072 | 9.0 | 2268 | 1.2815 | 0.8486 | 0.8272 | 0.8258 | 0.8265 |
| 0.0063 | 10.0 | 2520 | 1.2676 | 0.8546 | 0.8334 | 0.8336 | 0.8334 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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