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bert-base-german-cased-germeval2024
Wiebke/bert-base-german-cased-germeval2024
bert-base-german-cased-germeval2024 is a text classification model from Wiebke. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Jun 27, 2024
- Updated
- Jun 27, 2024
- SHA
- 8b5fb896
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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. -->
bert-base-german-cased-germeval2024
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: 2.9423
- Accuracy: 0.4952
- F1: 0.5454
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.9231 | 0.9831 | 58 | 1.3925 | 0.4351 | 0.5393 |
| 0.4828 | 1.9661 | 116 | 1.9050 | 0.5 | 0.5349 |
| 0.1764 | 2.9492 | 174 | 2.3104 | 0.5481 | 0.5584 |
| 0.0737 | 3.9322 | 232 | 2.6077 | 0.5312 | 0.5683 |
| 0.0297 | 4.9153 | 290 | 2.9423 | 0.4952 | 0.5454 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Created
- Jun 27, 2024
- Updated
- Jun 27, 2024