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README.md
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---
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datasets:
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- GroNLP/dutch-cola
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language:
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- nl
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tags:
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- generated from trainer
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metrics:
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- accuracy
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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This model is a fine-tuned version of [GroNLP/gpt2-small-dutch](https://huggingface.co/GroNLP/gpt2-small-dutch) 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: 0.5926
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- Accuracy: 0.7008
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## Training Details
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#### Training Hyperparameters
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The following hyperparameters were used during training:
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- learning rate: 4e-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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- optimizer: AdamW with lr=4e-05, weight_decay=0.01, betas=(o.9, 0.999) and epsilon=1e-08
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- num_epochs=3
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- fp16=True
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- gradient_acc_step=1
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## Evaluation
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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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| 0.6750 | 1.0 | 1244 | 0.8253 | 0.5688 |
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| 0.5174 | 2.0 | 2488 | 0.5926 | 0.7008 |
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| 0.4073 | 3.0 | 3732 | 0.6904 | 0.7004 |
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