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End of training

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README.md CHANGED
@@ -17,8 +17,8 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8522
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- - Accuracy: 0.6199
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  ## Model description
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@@ -37,20 +37,22 @@ More information needed
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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: 32
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- - eval_batch_size: 32
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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: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 76 | 0.9157 | 0.5893 |
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- | No log | 2.0 | 152 | 0.8522 | 0.6199 |
 
 
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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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6384
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+ - Accuracy: 0.6418
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 151 | 0.8365 | 0.6313 |
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+ | No log | 2.0 | 302 | 0.9247 | 0.6714 |
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+ | No log | 3.0 | 453 | 1.2189 | 0.6371 |
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+ | 0.5704 | 4.0 | 604 | 1.6384 | 0.6418 |
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  ### Framework versions
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