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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
