---
license: cc-by-4.0
base_model: Maltehb/danish-bert-botxo
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-WSD-danish-bert-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-WSD-danish-bert-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: 1.4175
- F1-score: 0.1942

## 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   | 61   | 1.4175          | 0.1942   |
| No log        | 2.0   | 122  | 1.4359          | 0.1229   |
| No log        | 3.0   | 183  | 1.4326          | 0.1477   |
| No log        | 4.0   | 244  | 1.3837          | 0.1229   |
| No log        | 5.0   | 305  | 1.3969          | 0.1229   |
| No log        | 6.0   | 366  | 1.4012          | 0.1229   |
| No log        | 7.0   | 427  | 1.3349          | 0.1229   |
| No log        | 8.0   | 488  | 1.3937          | 0.1229   |
| 1.301         | 9.0   | 549  | 1.3602          | 0.1229   |
| 1.301         | 10.0  | 610  | 1.4346          | 0.1229   |
| 1.301         | 11.0  | 671  | 1.3953          | 0.1229   |
| 1.301         | 12.0  | 732  | 1.4039          | 0.1229   |
| 1.301         | 13.0  | 793  | 1.3816          | 0.1229   |
| 1.301         | 14.0  | 854  | 1.3988          | 0.1229   |
| 1.301         | 15.0  | 915  | 1.4007          | 0.1229   |
| 1.301         | 16.0  | 976  | 1.3924          | 0.1229   |
| 1.278         | 17.0  | 1037 | 1.4031          | 0.1229   |
| 1.278         | 18.0  | 1098 | 1.3957          | 0.1229   |
| 1.278         | 19.0  | 1159 | 1.3956          | 0.1229   |
| 1.278         | 20.0  | 1220 | 1.3970          | 0.1229   |


### Framework versions

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