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Wikibot-3001

This model is a fine-tuned version of gpt2 on the mapama247/wikihow_es dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9422

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: 32
  • seed: 42
  • distributed_type: tpu
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss
2.7432 1.0 5950 2.6109
2.3556 2.0 11900 2.3059
2.1872 3.0 17850 2.1738
2.0891 4.0 23800 2.0990
2.0306 5.0 29750 2.0579
1.9975 6.0 35700 2.0395
1.9909 7.0 5950 2.0208
1.8924 8.0 11900 1.9678
1.8281 9.0 17850 1.9422
1.8376 10.0 5950 1.9576
1.7802 11.0 11900 1.9212
1.7465 12.0 17850 1.8996

Framework versions

  • Transformers 4.33.2
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3
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Dataset used to train Zagusan/Wikibot-3001

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