---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: DanskBERT_FGN
  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_FGN

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: 1.4535
- F1-score: 0.8102

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 120  | 0.6078          | 0.7542   |
| No log        | 2.0   | 240  | 0.5319          | 0.7838   |
| No log        | 3.0   | 360  | 0.7563          | 0.7942   |
| No log        | 4.0   | 480  | 0.9098          | 0.7940   |
| 0.4909        | 5.0   | 600  | 1.2334          | 0.7728   |
| 0.4909        | 6.0   | 720  | 1.1453          | 0.7935   |
| 0.4909        | 7.0   | 840  | 1.2240          | 0.8017   |
| 0.4909        | 8.0   | 960  | 1.3105          | 0.7907   |
| 0.0877        | 9.0   | 1080 | 1.4305          | 0.8002   |
| 0.0877        | 10.0  | 1200 | 1.4420          | 0.7764   |
| 0.0877        | 11.0  | 1320 | 1.4535          | 0.8102   |
| 0.0877        | 12.0  | 1440 | 1.4482          | 0.7734   |
| 0.0326        | 13.0  | 1560 | 1.5240          | 0.8046   |
| 0.0326        | 14.0  | 1680 | 1.5290          | 0.8031   |
| 0.0326        | 15.0  | 1800 | 1.5302          | 0.7964   |
| 0.0326        | 16.0  | 1920 | 1.5503          | 0.7904   |
| 0.0159        | 17.0  | 2040 | 1.5510          | 0.7904   |
| 0.0159        | 18.0  | 2160 | 1.5714          | 0.7957   |
| 0.0159        | 19.0  | 2280 | 1.5932          | 0.7963   |
| 0.0159        | 20.0  | 2400 | 1.5998          | 0.7955   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1