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README.md
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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: 0.78
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#### Training Hyperparameters
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The following hyperparameters were used during training:
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- learning rate:
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- num_epochs=
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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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| 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
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