| license: mit | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: SentimentBert | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # SentimentBert | |
| This model is a fine-tuned version of [cahya/bert-base-indonesian-522M](https://huggingface.co/cahya/bert-base-indonesian-522M) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.2005 | |
| - Accuracy: 0.965 | |
| ## 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: 5e-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: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | No log | 1.0 | 275 | 0.7807 | 0.715 | | |
| | 0.835 | 2.0 | 550 | 1.0588 | 0.635 | | |
| | 0.835 | 3.0 | 825 | 0.2764 | 0.94 | | |
| | 0.5263 | 4.0 | 1100 | 0.1913 | 0.97 | | |
| | 0.5263 | 5.0 | 1375 | 0.2005 | 0.965 | | |
| ### Framework versions | |
| - Transformers 4.22.0 | |
| - Pytorch 1.12.1+cu113 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |