metadata
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_2_ND
results: []
danskbert_2_ND
This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2974
- F1-score: 0.8976
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| No log | 1.0 | 224 | 0.2974 | 0.8976 |
| No log | 2.0 | 448 | 0.5017 | 0.8172 |
| 0.3411 | 3.0 | 672 | 0.4929 | 0.8504 |
| 0.3411 | 4.0 | 896 | 0.4870 | 0.8756 |
| 0.1678 | 5.0 | 1120 | 0.6837 | 0.8818 |
| 0.1678 | 6.0 | 1344 | 0.7872 | 0.8684 |
| 0.0798 | 7.0 | 1568 | 0.7057 | 0.8676 |
| 0.0798 | 8.0 | 1792 | 0.8895 | 0.8433 |
| 0.0422 | 9.0 | 2016 | 0.9513 | 0.8497 |
| 0.0422 | 10.0 | 2240 | 0.9399 | 0.8573 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1