---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_NCS
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# danskbert_NCS

This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/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