model_compleet_wie_mask_red

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

• Loss: 0.4593
• Accuracy: 0.8435
• F1: 0.8099

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 20
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.6621	0.77	50	0.5506	0.7130	0.4870
0.393	1.54	100	0.3608	0.8290	0.7790
0.2232	2.31	150	0.4593	0.8435	0.8099

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Tokenizers 0.15.2