---
license: cc-by-4.0
base_model: Maltehb/danish-bert-botxo
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: bert-finetuned-danishboksen
  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. -->

# bert-finetuned-danishboksen

This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3323
- F1: 1.0

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1605        | 1.0   | 6    | 0.6570          | 0.5556 |
| 0.1219        | 2.0   | 12   | 0.4281          | 0.5556 |
| 0.1066        | 3.0   | 18   | 0.3575          | 0.5556 |
| 0.0374        | 4.0   | 24   | 0.3378          | 1.0    |
| 0.0423        | 5.0   | 30   | 0.3323          | 1.0    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1