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roxl12
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bert-finetuned-danishboksen

Text Classification
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bert
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End of training.

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  1. README.md +12 -10
  2. model.safetensors +1 -1
  3. runs/Feb01_11-27-52_e97012c1d976/events.out.tfevents.1706786874.e97012c1d976.66449.3 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -5,6 +5,9 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - f1
 
 
 
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  model-index:
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  - name: bert-finetuned-danishboksen
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  results: []
@@ -17,8 +20,11 @@ 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: 0.3323
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- - F1: 1.0
 
 
 
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  ## Model description
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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 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.1605 | 1.0 | 6 | 0.6570 | 0.5556 |
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- | 0.1219 | 2.0 | 12 | 0.4281 | 0.5556 |
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- | 0.1066 | 3.0 | 18 | 0.3575 | 0.5556 |
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- | 0.0374 | 4.0 | 24 | 0.3378 | 1.0 |
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- | 0.0423 | 5.0 | 30 | 0.3323 | 1.0 |
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  ### Framework versions
 
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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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  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: 1.1544
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+ - F1: 0.1667
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+ - Precision: 0.1111
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+ - Recall: 0.3333
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+ - Accuracy: 0.3333
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  ## Model description
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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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+ | 1.2092 | 1.0 | 6 | 1.1544 | 0.1667 | 0.1111 | 0.3333 | 0.3333 |
 
 
 
 
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  ### Framework versions
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