---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: danskbert_NCST
  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_NCST

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: 0.4281
- 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