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---
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
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