| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - id_clickbait |
| metrics: |
| - accuracy |
| model-index: |
| - name: clickbait-classifier-20230408-002 |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: id_clickbait |
| type: id_clickbait |
| config: annotated |
| split: train |
| args: annotated |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8025 |
| --- |
| |
| <!-- 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. --> |
|
|
| # clickbait-classifier-20230408-002 |
|
|
| This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on the id_clickbait dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.2628 |
| - Accuracy: 0.8025 |
| |
| ## 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.51 | 1.0 | 675 | 0.4566 | 0.7792 | |
| | 0.419 | 2.0 | 1350 | 0.4388 | 0.7908 | |
| | 0.2972 | 3.0 | 2025 | 0.5607 | 0.8017 | |
| | 0.2428 | 4.0 | 2700 | 0.5913 | 0.7983 | |
| | 0.2086 | 5.0 | 3375 | 0.8132 | 0.7883 | |
| | 0.1564 | 6.0 | 4050 | 0.9334 | 0.7917 | |
| | 0.1114 | 7.0 | 4725 | 1.0183 | 0.7975 | |
| | 0.1023 | 8.0 | 5400 | 1.1756 | 0.8008 | |
| | 0.0649 | 9.0 | 6075 | 1.2468 | 0.7975 | |
| | 0.0465 | 10.0 | 6750 | 1.2628 | 0.8025 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.27.4 |
| - Pytorch 2.0.0+cu118 |
| - Datasets 2.11.0 |
| - Tokenizers 0.13.3 |
| |
