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artificially-natural-roberta-01

This model is a fine-tuned version of ConnyGenz/artificially-natural-roberta on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0778
  • F1: 0.988

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 F1
No log 1.0 250 0.2569 0.957
0.0304 2.0 500 0.1103 0.984
0.0304 3.0 750 0.0778 0.988

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.1
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