---
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: 2.1703
- F1-score: 0.7724

## 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  | 0.6759          | 0.7155   |
| 0.6468        | 2.0   | 594  | 1.2492          | 0.6745   |
| 0.6468        | 3.0   | 891  | 1.2268          | 0.7040   |
| 0.3433        | 4.0   | 1188 | 1.2735          | 0.7694   |
| 0.3433        | 5.0   | 1485 | 1.5214          | 0.7112   |
| 0.1732        | 6.0   | 1782 | 1.9239          | 0.7325   |
| 0.0436        | 7.0   | 2079 | 1.7480          | 0.7567   |
| 0.0436        | 8.0   | 2376 | 2.1543          | 0.7439   |
| 0.0191        | 9.0   | 2673 | 2.1873          | 0.7528   |
| 0.0191        | 10.0  | 2970 | 2.1828          | 0.7528   |
| 0.0168        | 11.0  | 3267 | 2.2822          | 0.7482   |
| 0.0117        | 12.0  | 3564 | 2.2565          | 0.7456   |
| 0.0117        | 13.0  | 3861 | 2.1703          | 0.7724   |
| 0.0085        | 14.0  | 4158 | 2.4034          | 0.7404   |
| 0.0085        | 15.0  | 4455 | 2.3810          | 0.7374   |
| 0.0043        | 16.0  | 4752 | 2.2340          | 0.7510   |
| 0.0087        | 17.0  | 5049 | 2.2798          | 0.7712   |
| 0.0087        | 18.0  | 5346 | 2.2541          | 0.7683   |
| 0.0026        | 19.0  | 5643 | 2.3661          | 0.7563   |
| 0.0026        | 20.0  | 5940 | 2.3710          | 0.7563   |


### Framework versions

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