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gbert-base-germaner

This model is a fine-tuned version of deepset/gbert-base on the germaner dataset. It achieves the following results on the evaluation set:

  • precision: 0.8404
  • recall: 0.8675
  • f1: 0.8537
  • accuracy: 0.9761

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: 16
  • eval_batch_size: 32
  • learning_rate: 2e-06
  • weight_decay_rate: 0.01
  • num_warmup_steps: 0
  • fp16: True

Framework versions

  • Transformers 4.31.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3
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Base model

deepset/gbert-base
Finetuned
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Dataset used to train pankaj10034/gbert-base-germaner

Evaluation results