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@@ -4,6 +4,59 @@ datasets:
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  language:
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  - nl
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  metrics:
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- - accuracy
 
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  pipeline_tag: text-classification
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  language:
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  - nl
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  metrics:
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+ - name: accuracy
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+ value:
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  pipeline_tag: text-classification
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+ ---
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+ # Model Card for Model ID
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+
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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 (https://huggingface.co/yhavinga/gpt2-medium-dutch) on (https://huggingface.co/datasets/GroNLP/dutch-cola).
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+ It achieves the following results on the evaluation set:
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+
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+ - Loss: 0.519
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+ - Accuracy: 0.7613
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+
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+ More information needed
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+ #### Training Hyperparameters
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+ The following hyperparameters were used during training:
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+
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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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+
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+
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+ ## Evaluation
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+
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+ ### Training results
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+
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+ [More Information Needed]