---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_DanskBERT
  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. -->

# MeMo_BERT-SA_DanskBERT

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: 1.0740
- F1-score: 0.7498

## 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   | 297  | 0.6212          | 0.7242   |
| 0.6865        | 2.0   | 594  | 0.8063          | 0.7421   |
| 0.6865        | 3.0   | 891  | 0.8167          | 0.7366   |
| 0.4433        | 4.0   | 1188 | 1.3513          | 0.7479   |
| 0.4433        | 5.0   | 1485 | 1.0740          | 0.7498   |
| 0.2387        | 6.0   | 1782 | 1.6338          | 0.7128   |
| 0.0864        | 7.0   | 2079 | 1.7501          | 0.7032   |
| 0.0864        | 8.0   | 2376 | 2.1446          | 0.7137   |
| 0.0505        | 9.0   | 2673 | 2.2850          | 0.7117   |
| 0.0505        | 10.0  | 2970 | 2.2474          | 0.7430   |
| 0.0183        | 11.0  | 3267 | 2.2403          | 0.7315   |
| 0.023         | 12.0  | 3564 | 2.2304          | 0.7274   |
| 0.023         | 13.0  | 3861 | 2.3297          | 0.7304   |
| 0.0227        | 14.0  | 4158 | 2.3744          | 0.7338   |
| 0.0227        | 15.0  | 4455 | 2.3618          | 0.7383   |
| 0.0113        | 16.0  | 4752 | 2.2777          | 0.7457   |
| 0.0058        | 17.0  | 5049 | 2.3752          | 0.7440   |
| 0.0058        | 18.0  | 5346 | 2.4774          | 0.7406   |
| 0.0019        | 19.0  | 5643 | 2.3590          | 0.7451   |
| 0.0019        | 20.0  | 5940 | 2.3930          | 0.7477   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2