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--- |
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license: cc-by-4.0 |
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base_model: NbAiLab/nb-bert-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: nb-bert-base-qa-norquad |
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results: [] |
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datasets: |
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- eanderson/NorQuAD |
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language: |
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- 'no' |
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metrics: |
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- squad |
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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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# nb-bert-base-qa-norquad |
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This model is a fine-tuned version of [NbAiLab/nb-bert-base](https://huggingface.co/NbAiLab/nb-bert-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9546 |
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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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model : eanderson/nb-bert-base-qa-norquad |
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language : norwegian |
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dataset: eanderson/NorQuAD["text"] |
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dataset_size: 472 |
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exact_match : 59.110169491525426, |
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f1 : 71.37800143052715 |
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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: 2e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.5595 | 1.0 | 3808 | 1.6062 | |
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| 0.9856 | 2.0 | 7616 | 1.7905 | |
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| 0.4723 | 3.0 | 11424 | 1.9546 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
