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gelectra-large-germeval_14

This model is a fine-tuned version of deepset/gelectra-large on the germeval_14 dataset. It achieves the following results on the evaluation set:

  • precision: 0.8578
  • recall: 0.8762
  • f1: 0.8669
  • accuracy: 0.9763

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:

  • num_train_epochs: 5
  • train_batch_size: 8
  • eval_batch_size: 8
  • learning_rate: 2e-05
  • weight_decay_rate: 0.01
  • num_warmup_steps: 0
  • fp16: True

Framework versions

  • Transformers 4.18.0
  • Datasets 1.18.0
  • Tokenizers 0.12.1
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Dataset used to train Ruth/gelectra-large-germeval_14

Evaluation results