german-english-code-switching-bert-finetuned-sa2
This model is a fine-tuned version of igorsterner/german-english-code-switching-bert on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5422
- F1: 0.7388
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: 4.469769936643479e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| 0.5448 | 1.0 | 537 | 0.4317 | 0.6056 |
| 0.3484 | 2.0 | 1074 | 0.4768 | 0.6605 |
| 0.2262 | 3.0 | 1611 | 0.5422 | 0.7388 |
| 0.1231 | 4.0 | 2148 | 0.7312 | 0.7227 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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