| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: Religion-Classification | |
| 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. --> | |
| # Religion-Classification | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0585 | |
| - Accuracy: 0.9926 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - 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 | | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| | |
| | 0.0722 | 1.0 | 6947 | 0.0671 | 0.9855 | | |
| | 0.0368 | 2.0 | 13894 | 0.0470 | 0.9907 | | |
| | 0.0205 | 3.0 | 20841 | 0.0431 | 0.9918 | | |
| | 0.0109 | 4.0 | 27788 | 0.0576 | 0.9920 | | |
| | 0.0013 | 5.0 | 34735 | 0.0585 | 0.9926 | | |
| ### Framework versions | |
| - Transformers 4.14.1 | |
| - Pytorch 1.12.0 | |
| - Datasets 2.9.0 | |
| - Tokenizers 0.10.3 | |