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README.md
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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.
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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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- 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:
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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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### Framework versions
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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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- 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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model.safetensors
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runs/Feb05_12-12-46_93ffb42e56b6/events.out.tfevents.1707135166.93ffb42e56b6.2440.0
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training_args.bin
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