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Klassifizierung-RLT

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Klassifizierung-RLT / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
widget:
  - text: 11004RLT790AG01BS01
  - text: 11004RLT615AB01BM06
  - text: 12064RLT606KL02RM01
  - text: 11004RLT722VA01AS01
  - text: Abl. Anl. 15 Aufzugm.
model-index:
  - name: Klassifizierung-RLT
    results: []

Klassifizierung-RLT

This model is a fine-tuned version of bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0616
  • F1: 0.9852

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss F1
0.828 1.0 292 0.2156 0.9447
0.1491 2.0 584 0.0832 0.9805
0.0695 3.0 876 0.0616 0.9852

Framework versions

  • Transformers 4.22.2
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1