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gpt2-small-portuguese-finetuned-tcu-acordaos

This model is a fine-tuned version of pierreguillou/gpt2-small-portuguese on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.6841

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
2.3435 1.0 658 1.8346
1.8668 2.0 1316 1.7141
1.7573 3.0 1974 1.6841

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.13.3
  • Tokenizers 0.10.3
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