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metadata
license: other
tags:
  - generated_from_trainer
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 on the adult_content dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0065
  • F1_score(weighted): 0.99

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: 5

Training results

Training Loss Epoch Validation Loss f1 score
0.0065 1.0 0.0669 0.9880
0.0429 2.0 0.0530 0.9907
0.0177 3.0 0.0305 0.9933
0.0123 4.0 0.0362 0.9933
0.0065 5.0 0.0176 0.9960