---
widget:
- text: Felix dog i [MASK] i går.
base_model: KBLab/bert-base-swedish-cased
tags:
- generated_from_trainer
datasets:
- ChangeIsKey/kubhist2
metrics:
- accuracy
model-index:
- name: test-mlm
  results:
  - task:
      name: Masked Language Modeling
      type: fill-mask
    dataset:
      name: ChangeIsKey/kubhist2
      type: ChangeIsKey/kubhist2
      config: all
      split: train[:5%]
      args: all
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.49963541184895327
---

<!-- 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. -->

# test-mlm

This model is a fine-tuned version of [KBLab/bert-base-swedish-cased](https://huggingface.co./KBLab/bert-base-swedish-cased) on the ChangeIsKey/kubhist2 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.8883
- Accuracy: 0.4996

## 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: 128
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.33.1
- Pytorch 1.12.0
- Datasets 2.14.5
- Tokenizers 0.13.3