This model is a fine-tuned version of DTAI-KULeuven/robbert-2022-dutch-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.0319

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.3373	1.0	569	1.1228
1.1452	2.0	1138	1.0415
1.0976	3.0	1707	1.0224

Framework versions

Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

ymelka/robbert-cosmetic-finetuned

robbert-cosmetic-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ymelka/
robbert-cosmetic-finetuned