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--- |
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license: cc-by-4.0 |
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base_model: Maltehb/danish-bert-botxo |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- precision |
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- recall |
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- accuracy |
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model-index: |
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- name: bert-finetuned-danishboksen |
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results: [] |
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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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# bert-finetuned-danishboksen |
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This model is a fine-tuned version of [Maltehb/danish-bert-botxo](https://huggingface.co/Maltehb/danish-bert-botxo) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4854 |
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- F1: 0.5556 |
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- Precision: 0.5 |
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- Recall: 0.6667 |
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- Accuracy: 0.6667 |
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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: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Precision | Recall | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:---------:|:------:|:--------:| |
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| 0.9427 | 1.0 | 6 | 0.8937 | 0.5556 | 0.5 | 0.6667 | 0.6667 | |
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| 0.611 | 2.0 | 12 | 0.7647 | 0.5556 | 0.5 | 0.6667 | 0.6667 | |
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| 0.3739 | 3.0 | 18 | 0.4088 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.2494 | 4.0 | 24 | 0.4639 | 1.0 | 1.0 | 1.0 | 1.0 | |
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| 0.1707 | 5.0 | 30 | 0.4854 | 0.5556 | 0.5 | 0.6667 | 0.6667 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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