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roxl12
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bert-finetuned-danishboksen

Text Classification
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bert
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  1. README.md +7 -3
  2. model.safetensors +1 -1
  3. runs/Feb05_12-12-46_93ffb42e56b6/events.out.tfevents.1707135166.93ffb42e56b6.2440.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.6920
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  - F1: 0.5556
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  - Precision: 0.5
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  - Recall: 0.6667
@@ -49,13 +49,17 @@ The following hyperparameters were used during training:
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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: 1
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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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- | 1.0069 | 1.0 | 6 | 0.6920 | 0.5556 | 0.5 | 0.6667 | 0.6667 |
 
 
 
 
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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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