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fake-news-fatima-fellowship

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0000
  • Accuracy: 1.0
  • F1: 1.0

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.008 1.0 2514 0.0011 0.9996 0.9996
0.0004 2.0 5028 0.0000 1.0 1.0
0.0003 3.0 7542 0.0000 1.0 1.0

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.9.1
  • Datasets 1.18.4
  • Tokenizers 0.11.6
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