| --- |
| license: other |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: distilroberta-current |
| results: [] |
| --- |
| |
| # distilroberta-current |
|
|
| This model classifies articles as current (covering or discussing current events) or not current (not relating to current events). |
|
|
| The model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on a dataset of articles labeled using weak-supervision and manual labeling |
|
|
| It achieves the following results on the evaluation set: |
| - Loss: 0.1745 |
| - Acc: 0.9355 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 12345 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 16 |
| - num_epochs: 20 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Acc | |
| |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | No log | 1.0 | 11 | 0.6559 | 0.7097 | |
| | 0.6762 | 2.0 | 22 | 0.5627 | 0.7097 | |
| | 0.5432 | 3.0 | 33 | 0.4606 | 0.7097 | |
| | 0.5432 | 4.0 | 44 | 0.3651 | 0.8065 | |
| | 0.411 | 5.0 | 55 | 0.2512 | 0.9194 | |
| | 0.269 | 6.0 | 66 | 0.2774 | 0.9355 | |
| | 0.269 | 7.0 | 77 | 0.2062 | 0.8710 | |
| | 0.2294 | 8.0 | 88 | 0.2598 | 0.9355 | |
| | 0.1761 | 9.0 | 99 | 0.1745 | 0.9355 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.11.3 |
| - Pytorch 1.10.1 |
| - Datasets 1.17.0 |
| - Tokenizers 0.10.3 |
|
|
