---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_2_ND
  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_2_ND

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: 0.2974
- 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