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my_awesome_model

This model is a fine-tuned version of bert-base-german-cased on the gnad10 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3414
  • F1: 0.9001

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: 2

Training results

Training Loss Epoch Step Validation Loss F1
0.5884 1.0 578 0.3510 0.8940
0.2389 2.0 1156 0.3414 0.9001

Framework versions

  • Transformers 4.26.0
  • Pytorch 2.0.0.dev20230126+cu117
  • Datasets 2.9.0
  • Tokenizers 0.13.2
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Dataset used to train HAriGa/my_awesome_model

Evaluation results