--- license: apache-2.0 base_model: patrickxchong/bert-tiny-bahasa-cased-sentiment tags: - generated_from_trainer model-index: - name: fine-tuned-tiny-bert-base-uncased-large-dataset results: [] --- # fine-tuned-tiny-bert-base-uncased-large-dataset This model is a fine-tuned version of [patrickxchong/bert-tiny-bahasa-cased-sentiment](https://huggingface.co/patrickxchong/bert-tiny-bahasa-cased-sentiment) on an unknown dataset. It achieves the following results on the evaluation set: - eval_loss: 0.0 - eval_accuracy: {'accuracy': 1.0} - eval_f1score: {'f1': 1.0} - eval_runtime: 36.6046 - eval_samples_per_second: 200.576 - eval_steps_per_second: 25.079 - step: 0 ## 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: 0.0002 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 5139 - num_epochs: 7 ### Framework versions - Transformers 4.35.0 - Pytorch 2.1.0+cu118 - Datasets 2.14.6 - Tokenizers 0.14.1