--- license: mit base_model: indobenchmark/indobert-base-p1 tags: - generated_from_trainer model-index: - name: text-classification-p1 results: [] --- # text-classification-p1 This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.2636 - Balanced Accuracy: 0.7994 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:-----------------:| | 0.7964 | 1.0 | 166 | 0.9239 | 0.7087 | | 0.6617 | 2.0 | 332 | 0.8031 | 0.7454 | | 0.3777 | 3.0 | 498 | 0.8557 | 0.7721 | | 0.227 | 4.0 | 664 | 0.9777 | 0.7939 | | 0.1234 | 5.0 | 830 | 1.0658 | 0.7928 | | 0.1506 | 6.0 | 996 | 1.1731 | 0.7920 | | 0.0913 | 7.0 | 1162 | 1.2047 | 0.7927 | | 0.132 | 8.0 | 1328 | 1.2619 | 0.7978 | | 0.0599 | 9.0 | 1494 | 1.2636 | 0.7994 | | 0.0259 | 10.0 | 1660 | 1.2661 | 0.7992 | ### Framework versions - Transformers 4.41.2 - Pytorch 2.3.0+cu121 - Datasets 2.19.2 - Tokenizers 0.19.1