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# testThesisSmallfiftyTESTsynone

This model is a fine-tuned version of [KBLab/bert-base-swedish-cased-ner](https://huggingface.co/KBLab/bert-base-swedish-cased-ner) on the None dataset.

## 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: 2e-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
- lr_scheduler_warmup_steps: 30
- num_epochs: 6

### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.1
- Datasets 2.14.5
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "base_model": "KBLab/bert-base-swedish-cased-ner", "model-index": [{"name": "testThesisSmallfiftyTESTsynone", "results": []}]}
transformers pytorch bert token-classification generated_from_trainer base_model:KBLab/bert-base-swedish-cased-ner autotrain_compatible endpoints_compatible region:us