metadata
license: mit
base_model: indobenchmark/indobert-base-p1
tags:
- generated_from_trainer
model-index:
- name: text-classification
results: []
text-classification
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4590
- Balanced Accuracy: 0.6868
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: 32
- eval_batch_size: 32
- 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 | Balanced Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 125 | 0.4590 | 0.6868 |
| No log | 2.0 | 250 | 0.5104 | 0.6470 |
| No log | 3.0 | 375 | 0.5941 | 0.6448 |
| 0.3146 | 4.0 | 500 | 0.5873 | 0.7828 |
| 0.3146 | 5.0 | 625 | 0.6645 | 0.8005 |
| 0.3146 | 6.0 | 750 | 0.6635 | 0.8110 |
| 0.3146 | 7.0 | 875 | 0.6684 | 0.7801 |
| 0.0956 | 8.0 | 1000 | 0.8031 | 0.7786 |
| 0.0956 | 9.0 | 1125 | 0.7523 | 0.7827 |
| 0.0956 | 10.0 | 1250 | 0.7878 | 0.7715 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1