metadata
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_NCS
results: []
danskbert_NCS
This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4471
- F1-score: 0.8063
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.5221 | 1.0 | 504 | 0.4471 | 0.8063 |
| 0.451 | 2.0 | 1008 | 0.4371 | 0.7900 |
| 0.3498 | 3.0 | 1512 | 0.5378 | 0.7793 |
| 0.2562 | 4.0 | 2016 | 0.6088 | 0.7923 |
| 0.1938 | 5.0 | 2520 | 0.7844 | 0.7730 |
| 0.1377 | 6.0 | 3024 | 1.3832 | 0.7426 |
| 0.102 | 7.0 | 3528 | 1.3346 | 0.7686 |
| 0.0758 | 8.0 | 4032 | 1.7920 | 0.7364 |
| 0.0583 | 9.0 | 4536 | 1.6097 | 0.7691 |
| 0.0446 | 10.0 | 5040 | 1.6403 | 0.7667 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1