This model is a fine-tuned version of DTAI-KULeuven/robbert-2023-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 4.6461
Accuracy: 0.1827
F1: 0.0891

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
5.1293	1.0	489	4.6461	0.1827	0.0891

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2

FD0798104/thesis_RobBERT

thesis_RobBERT

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

FD0798104/
thesis_RobBERT