---
license: cc-by-4.0
base_model: Maltehb/danish-bert-botxo
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_botxo
  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_botxo

This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6385
- F1-score: 0.7374

## 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  | 0.7785          | 0.6992   |
| 0.7119        | 2.0   | 594  | 0.9146          | 0.6732   |
| 0.7119        | 3.0   | 891  | 1.4686          | 0.7087   |
| 0.2712        | 4.0   | 1188 | 1.5626          | 0.7091   |
| 0.2712        | 5.0   | 1485 | 1.9710          | 0.6548   |
| 0.09          | 6.0   | 1782 | 2.0442          | 0.7169   |
| 0.0273        | 7.0   | 2079 | 2.1153          | 0.7326   |
| 0.0273        | 8.0   | 2376 | 2.3741          | 0.7005   |
| 0.0071        | 9.0   | 2673 | 2.6151          | 0.6977   |
| 0.0071        | 10.0  | 2970 | 2.5560          | 0.7107   |
| 0.0112        | 11.0  | 3267 | 2.5697          | 0.7220   |
| 0.0063        | 12.0  | 3564 | 2.5956          | 0.7185   |
| 0.0063        | 13.0  | 3861 | 2.6383          | 0.7189   |
| 0.0001        | 14.0  | 4158 | 2.9775          | 0.6755   |
| 0.0001        | 15.0  | 4455 | 2.6557          | 0.7247   |
| 0.0044        | 16.0  | 4752 | 2.6788          | 0.7305   |
| 0.0023        | 17.0  | 5049 | 2.6385          | 0.7374   |
| 0.0023        | 18.0  | 5346 | 2.6750          | 0.7186   |
| 0.0025        | 19.0  | 5643 | 2.6821          | 0.7186   |
| 0.0025        | 20.0  | 5940 | 2.6820          | 0.7186   |


### Framework versions

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