---
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: 1.8561
- F1-score: 0.8037

## 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   | 265  | 0.7133          | 0.7595   |
| 0.7319        | 2.0   | 530  | 0.7466          | 0.7937   |
| 0.7319        | 3.0   | 795  | 0.7983          | 0.7609   |
| 0.3709        | 4.0   | 1060 | 1.0861          | 0.7859   |
| 0.3709        | 5.0   | 1325 | 1.3603          | 0.7637   |
| 0.1632        | 6.0   | 1590 | 1.3124          | 0.7835   |
| 0.1632        | 7.0   | 1855 | 1.6351          | 0.7432   |
| 0.0846        | 8.0   | 2120 | 1.4934          | 0.7842   |
| 0.0846        | 9.0   | 2385 | 1.5827          | 0.7891   |
| 0.0438        | 10.0  | 2650 | 1.8168          | 0.7695   |
| 0.0438        | 11.0  | 2915 | 1.7212          | 0.7837   |
| 0.0149        | 12.0  | 3180 | 1.7602          | 0.7906   |
| 0.0149        | 13.0  | 3445 | 1.8375          | 0.7869   |
| 0.0152        | 14.0  | 3710 | 1.9152          | 0.7768   |
| 0.0152        | 15.0  | 3975 | 1.9085          | 0.7918   |
| 0.0049        | 16.0  | 4240 | 1.9808          | 0.7835   |
| 0.0094        | 17.0  | 4505 | 1.8629          | 0.8016   |
| 0.0094        | 18.0  | 4770 | 1.8561          | 0.8037   |
| 0.0027        | 19.0  | 5035 | 1.9061          | 0.7939   |
| 0.0027        | 20.0  | 5300 | 1.9370          | 0.7898   |


### Framework versions

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