| --- |
| license: mit |
| base_model: indolem/indobert-base-uncased |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: text-classification |
| 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. --> |
|
|
| # text-classification |
|
|
| This model is a fine-tuned version of [indolem/indobert-base-uncased](https://huggingface.co/indolem/indobert-base-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4783 |
| - Balanced Accuracy: 0.5328 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:-----------------:| |
| | 0.2974 | 1.0 | 150 | 1.4783 | 0.5328 | |
| | 0.2406 | 2.0 | 300 | 1.6163 | 0.5288 | |
| | 0.3334 | 3.0 | 450 | 1.7306 | 0.5253 | |
| | 0.2145 | 4.0 | 600 | 1.6787 | 0.5254 | |
| | 0.1358 | 5.0 | 750 | 1.9275 | 0.5482 | |
| | 0.081 | 6.0 | 900 | 1.8528 | 0.5372 | |
| | 0.2184 | 7.0 | 1050 | 1.9453 | 0.5604 | |
| | 0.0593 | 8.0 | 1200 | 1.9722 | 0.5558 | |
| | 0.0068 | 9.0 | 1350 | 2.0153 | 0.5561 | |
| | 0.0531 | 10.0 | 1500 | 2.0004 | 0.5429 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.41.2 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.2 |
| - Tokenizers 0.19.1 |
|
|
