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bert-base-german-cased-finetuned
This model is a fine-tuned version of ogimgio/bert-base-german-cased-issues-128 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4083
- Micro f1: 0.5637
- Macro f1: 0.5041
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: 3e-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: constant
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Micro f1 | Macro f1 |
|---|---|---|---|---|---|
| 0.4609 | 1.0 | 103 | 0.4403 | 0.5551 | 0.4453 |
| 0.362 | 2.0 | 206 | 0.4083 | 0.5637 | 0.5041 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
