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--- |
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widget: |
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- text: Felix dog i [MASK] i går. |
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base_model: KBLab/bert-base-swedish-cased |
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tags: |
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- generated_from_trainer |
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datasets: |
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- ChangeIsKey/kubhist2 |
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metrics: |
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- accuracy |
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model-index: |
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- name: test-mlm |
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results: |
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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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dataset: |
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name: ChangeIsKey/kubhist2 |
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type: ChangeIsKey/kubhist2 |
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config: all |
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split: train[:5%] |
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args: all |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.49963541184895327 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# test-mlm |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.8883 |
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- Accuracy: 0.4996 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 512 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.33.1 |
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- Pytorch 1.12.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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