bertje-dutch-cola

This model is a fine-tuned version of GroNLP/bert-base-dutch-cased on Dutch CoLA. It achieves the following results on the evaluation set:

• Loss: 0.7208
• Accuracy: 0.7792

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5395	1.0	622	0.6046	0.7346
0.3626	2.0	1244	0.5864	0.7808
0.261	3.0	1866	0.7208	0.7792

Framework versions

• Transformers 4.39.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2