pytorch roberta text-classification transformers generated_from_trainer license:other model-index
---
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
