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@@ -15,25 +15,16 @@ bass-model: pdelobelle/robbert-v2-dutch-base
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  This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on [GroNLP/dutch-cola](https://huggingface.co/datasets/GroNLP/dutch-cola).
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5884
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- - Accuracy: 0.78
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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: 16
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- - eval_batch_size: 16
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  - seed: 42
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- - num_epochs=3
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.5359 | 1.0 | 1244 | 0.6437 | 0.7196 |
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- | 0.3556 | 2.0 | 2488 | 0.5884 | 0.78 |
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- | 0.2545 | 3.0 | 3732 | 0.7075 | 0.7796 |
 
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  This model is a fine-tuned version of [pdelobelle/robbert-v2-dutch-base](https://huggingface.co/pdelobelle/robbert-v2-dutch-base) on [GroNLP/dutch-cola](https://huggingface.co/datasets/GroNLP/dutch-cola).
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  It achieves the following results on the evaluation set:
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+ - Accuracy: 0.7879
 
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  #### Training Hyperparameters
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  The following hyperparameters were used during training:
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+ - learning rate: 5e-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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+ - num_epochs=2
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+ - FP16 = True