--- library_name: transformers license: apache-2.0 base_model: indolem/indobertweet-base-uncased tags: - generated_from_trainer metrics: - accuracy - precision - recall - f1 model-index: - name: nama_model_baru results: [] --- # nama_model_baru This model is a fine-tuned version of [indolem/indobertweet-base-uncased](https://huggingface.co/indolem/indobertweet-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6555 - Accuracy: 0.8836 - Precision: 0.8930 - Recall: 0.8829 - F1: 0.8867 ## 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: 0.0001 - 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: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| | 0.5761 | 1.0 | 107 | 0.3777 | 0.8425 | 0.8475 | 0.8425 | 0.8449 | | 0.2084 | 2.0 | 214 | 0.5319 | 0.8562 | 0.8861 | 0.8419 | 0.8518 | | 0.0812 | 3.0 | 321 | 0.5681 | 0.8699 | 0.8763 | 0.8802 | 0.8767 | | 0.034 | 4.0 | 428 | 0.6506 | 0.8733 | 0.8796 | 0.8733 | 0.8743 | | 0.013 | 5.0 | 535 | 0.6555 | 0.8836 | 0.8930 | 0.8829 | 0.8867 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.1 - Tokenizers 0.19.1