---
datasets:
- GroNLP/dutch-cola
language:
- nl
metrics:
- name: accuracy
  value: 
pipeline_tag: text-classification
---
# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
This model is a fine-tuned version of (https://huggingface.co/yhavinga/gpt2-medium-dutch) on (https://huggingface.co/datasets/GroNLP/dutch-cola).
It achieves the following results on the evaluation set:

- Loss: 0.519
- Accuracy: 0.7613 


### Model Description

<!-- Provide a longer summary of what this model is. -->
More information needed

## Training Details

### Training Data

<!-- 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. -->

[More Information Needed]

### Training Procedure

<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->

#### Preprocessing [optional]

[More Information Needed]


#### Training Hyperparameters

The following hyperparameters were used during training:

- learning rate: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: AdamW with lr=4e-05, weight_decay=0.01, betas=(o.9, 0.999) and epsilon=1e-08
- num_epochs=3
- fp16=True
- gradient_acc_step=1



## Evaluation

### Training results

[More Information Needed]