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gbert-large

This model is a fine-tuned version of deepset/gbert-large

It was fine-tuned on poetry from Projekt Gutenberg in order to do masked language modeling tasks in poetry generation (synonym creation for rythm and to find rhyming pairs)

  • Loss: 2.1519

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: 32
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
2.7515 1.0 2481 2.5493
2.5626 2.0 4962 2.4392
2.4839 3.0 7443 2.3692
2.4082 4.0 9924 2.3425
2.3109 5.0 12405 2.2934
2.2551 6.0 14886 2.2582
2.2154 7.0 17367 2.2062
2.2003 8.0 19848 2.1962
2.1616 9.0 22329 2.1991
2.1462 10.0 24810 2.1519

Framework versions

  • Transformers 4.19.4
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2
  • Tokenizers 0.12.1
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