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---
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
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