metadata
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_NCST
results: []
danskbert_NCST
This model is a fine-tuned version of vesteinn/DanskBERT on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4281
- F1-score: 0.8075
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 |
|---|---|---|---|---|
| 0.4689 | 1.0 | 535 | 0.4281 | 0.8075 |
| 0.4053 | 2.0 | 1070 | 0.5061 | 0.7802 |
| 0.3074 | 3.0 | 1605 | 0.6016 | 0.7923 |
| 0.2363 | 4.0 | 2140 | 1.0487 | 0.7002 |
| 0.1671 | 5.0 | 2675 | 0.9357 | 0.7901 |
| 0.1311 | 6.0 | 3210 | 1.1869 | 0.7854 |
| 0.0909 | 7.0 | 3745 | 1.6172 | 0.7585 |
| 0.0665 | 8.0 | 4280 | 1.4884 | 0.7743 |
| 0.0517 | 9.0 | 4815 | 1.7031 | 0.7608 |
| 0.039 | 10.0 | 5350 | 1.6078 | 0.7743 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1