---
license: cc-by-4.0
base_model: vesteinn/DanskBERT
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-WSD-DanskBERT
  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-DanskBERT

This model is a fine-tuned version of [vesteinn/DanskBERT](https://huggingface.co/vesteinn/DanskBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7755
- F1-score: 0.5209

## 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   | 1.4766          | 0.1229   |
| No log        | 2.0   | 122  | 1.4366          | 0.1229   |
| No log        | 3.0   | 183  | 1.3636          | 0.2462   |
| No log        | 4.0   | 244  | 1.2889          | 0.3692   |
| No log        | 5.0   | 305  | 1.4150          | 0.3786   |
| No log        | 6.0   | 366  | 1.5581          | 0.3409   |
| No log        | 7.0   | 427  | 1.6512          | 0.4664   |
| No log        | 8.0   | 488  | 1.7405          | 0.4661   |
| 0.9424        | 9.0   | 549  | 1.7755          | 0.5209   |
| 0.9424        | 10.0  | 610  | 2.4738          | 0.4351   |
| 0.9424        | 11.0  | 671  | 2.4721          | 0.4858   |
| 0.9424        | 12.0  | 732  | 2.9449          | 0.4491   |
| 0.9424        | 13.0  | 793  | 2.8346          | 0.4528   |
| 0.9424        | 14.0  | 854  | 3.0715          | 0.4845   |
| 0.9424        | 15.0  | 915  | 3.1416          | 0.4520   |
| 0.9424        | 16.0  | 976  | 3.0893          | 0.5197   |
| 0.1197        | 17.0  | 1037 | 3.1668          | 0.4764   |
| 0.1197        | 18.0  | 1098 | 3.2142          | 0.4656   |
| 0.1197        | 19.0  | 1159 | 3.2174          | 0.5087   |
| 0.1197        | 20.0  | 1220 | 3.2239          | 0.5087   |


### Framework versions

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