--- license: mit tags: - generated_from_trainer model-index: - name: mlm-20230510-indobert-large-p1-001-pt2 results: [] datasets: - intanm/financial_news_id_v1.0 --- # mlm-20230510-indobert-large-p1-001-pt2 This model is a fine-tuned version of [intanm/mlm-20230503-indobert-large-p1-001](https://huggingface.co/intanm/mlm-20230503-indobert-large-p1-001) on the None dataset. It achieves the following results on the evaluation set: - Loss: 2.0818 ## 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 | 333 | 2.4107 | | 1.9893 | 2.0 | 666 | 2.3410 | | 1.9893 | 3.0 | 999 | 2.3118 | | 1.7566 | 4.0 | 1332 | 2.2965 | | 1.654 | 5.0 | 1665 | 2.1781 | | 1.654 | 6.0 | 1998 | 2.1757 | | 1.601 | 7.0 | 2331 | 2.1280 | | 1.6437 | 8.0 | 2664 | 2.1664 | | 1.6437 | 9.0 | 2997 | 2.1523 | | 1.679 | 10.0 | 3330 | 2.1121 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu118 - Datasets 2.12.0 - Tokenizers 0.13.3