| license: other | |
| tags: | |
| - generated_from_trainer | |
| base_model: distilbert-base-uncased | |
| model-index: | |
| - name: finetuned-distilbert-adult-content-detection | |
| results: [] | |
| ### finetuned-distilbert-news-article-catgorization | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the adult_content dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.0065 | |
| - F1_score(weighted): 0.90 | |
| ### Model description | |
| More information needed | |
| ### Intended uses & limitations | |
| More information needed | |
| ### Training and evaluation data | |
| The model was trained on some subset of the adult_content dataset and it was validated on the remaining subset of the data | |
| ### Training procedure | |
| More information needed | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 5e-5 | |
| - train_batch_size: 5 | |
| - eval_batch_size: 5 | |
| - seed: 17 | |
| - optimizer: AdamW(lr=1e-5 and epsilon=1e-08) | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 0 | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Validation Loss | f1 score | | |
| |:-------------:|:-----:|:---------------: |:------:| | |
| | 0.1414 | 1.0 | 0.4585 | 0.9058 | | |
| | 0.1410 | 2.0 | 0.4584 | 0.9058 | | |