---
license: cc-by-4.0
base_model: Maltehb/danish-bert-botxo
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
- accuracy
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: 0.4854
- F1: 0.5556
- Precision: 0.5
- Recall: 0.6667
- Accuracy: 0.6667

## 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     | Precision | Recall | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:|
| 0.9427        | 1.0   | 6    | 0.8937          | 0.5556 | 0.5       | 0.6667 | 0.6667   |
| 0.611         | 2.0   | 12   | 0.7647          | 0.5556 | 0.5       | 0.6667 | 0.6667   |
| 0.3739        | 3.0   | 18   | 0.4088          | 1.0    | 1.0       | 1.0    | 1.0      |
| 0.2494        | 4.0   | 24   | 0.4639          | 1.0    | 1.0       | 1.0    | 1.0      |
| 0.1707        | 5.0   | 30   | 0.4854          | 0.5556 | 0.5       | 0.6667 | 0.6667   |


### Framework versions

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