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End of training.
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metadata
license: mit
base_model: roberta-base-openai-detector
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: artificially-natural-roberta-redone
    results: []

artificially-natural-roberta-redone

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

  • Loss: 0.1389
  • F1: 0.9815

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
0.1146 1.0 500 0.1384 0.9755
0.0123 2.0 1000 0.1029 0.985
0.0014 3.0 1500 0.1389 0.9815

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.1