| --- |
| license: mit |
| base_model: ayameRushia/bert-base-indonesian-1.5G-sentiment-analysis-smsa |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: results |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # results |
|
|
| This model is a fine-tuned results on the evaluation set: |
| - Loss: 0.4952 |
| - Accuracy: 0.8351 |
| - F1: 0.8359 |
|
|
| ## 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: 3e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 5 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.6964 | 1.0 | 73 | 0.5906 | 0.8110 | 0.8152 | |
| | 0.6407 | 2.0 | 146 | 0.4614 | 0.8007 | 0.8035 | |
| | 0.418 | 3.0 | 219 | 0.4952 | 0.8351 | 0.8359 | |
| | 0.1811 | 4.0 | 292 | 0.5943 | 0.8110 | 0.8114 | |
| | 0.1383 | 5.0 | 365 | 0.6963 | 0.8110 | 0.8121 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.41.1 |
| - Pytorch 2.3.0+cu118 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
| |
