metadata
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: []
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