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trainer_output
Wiebke/trainer_output
trainer_output is a token classification model from Wiebke. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026
- SHA
- d6bf9c55
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
trainer_output
This model is a fine-tuned version of distilbert/distilbert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3315
- Model Preparation Time: 0.0014
- Precision: 0.4110
- Recall: 0.4941
- F1: 0.4487
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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.6758 | 0.2822 | 500 | 0.4825 | 0.0014 | 0.1876 | 0.2698 | 0.2213 |
| 0.4239 | 0.5643 | 1000 | 0.4283 | 0.0014 | 0.2381 | 0.4023 | 0.2991 |
| 0.3824 | 0.8465 | 1500 | 0.3869 | 0.0014 | 0.3688 | 0.4018 | 0.3846 |
| 0.3416 | 1.1287 | 2000 | 0.3609 | 0.0014 | 0.3915 | 0.4491 | 0.4183 |
| 0.2896 | 1.4108 | 2500 | 0.3439 | 0.0014 | 0.3795 | 0.4813 | 0.4244 |
| 0.2769 | 1.6930 | 3000 | 0.3366 | 0.0014 | 0.4120 | 0.4922 | 0.4486 |
| 0.2897 | 1.9752 | 3500 | 0.3314 | 0.0014 | 0.4109 | 0.4965 | 0.4496 |
| 0.2897 | 2.0 | 3544 | 0.3315 | 0.0014 | 0.4110 | 0.4941 | 0.4487 |
Framework versions
- Transformers 5.10.2
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jun 19, 2026
- Updated
- Jun 19, 2026