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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - germanquad
model-index:
  - name: bert-base-german-cased-finetuned-squad
    results: []

bert-base-german-cased-finetuned-squad

This model is a fine-tuned version of bert-base-german-cased on the germanquad dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5561

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: 16
  • 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
2.9185 1.0 540 1.5012
1.668 2.0 1080 1.4047
1.119 3.0 1620 1.6239
0.7685 4.0 2160 1.9753
0.5211 5.0 2700 1.9515
0.3593 6.0 3240 2.2319
0.2462 7.0 3780 2.3495
0.1858 8.0 4320 2.4836
0.1338 9.0 4860 2.5154
0.1056 10.0 5400 2.5561

Framework versions

  • Transformers 4.27.2
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2