--- license: mit tags: - generated_from_trainer model-index: - name: mlm-20230513-indobert-large-p1-002-pt2 results: [] datasets: - intanm/indonesian_financial_statements --- # mlm-20230513-indobert-large-p1-002-pt2 This model is a fine-tuned version of [intanm/mlm-20230513-indobert-large-p1-002-pt1](https://huggingface.co/intanm/mlm-20230513-indobert-large-p1-002-pt1) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.7799 ## 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: 8 - eval_batch_size: 8 - 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 | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 284 | 2.0189 | | 1.7946 | 2.0 | 568 | 2.0046 | | 1.7946 | 3.0 | 852 | 1.9715 | | 1.5453 | 4.0 | 1136 | 1.9322 | | 1.5453 | 5.0 | 1420 | 1.8302 | | 1.4321 | 6.0 | 1704 | 1.8689 | | 1.4321 | 7.0 | 1988 | 1.8075 | | 1.4267 | 8.0 | 2272 | 1.7632 | | 1.4812 | 9.0 | 2556 | 1.7812 | | 1.4812 | 10.0 | 2840 | 1.7886 | ### Framework versions - Transformers 4.29.1 - Pytorch 2.0.0+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3