metadata

language:
  - nl
tags:
  - generated_from_trainer
model_index:
  - name: bert-base-dutch-cased-finetuned-gem
    results:
      - task:
          name: Masked Language Modeling
          type: fill-mask

bert-base-dutch-cased-finetuned-gem

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

Loss: 1.8767

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
1.7518	1.0	2133	1.8428
1.5679	2.0	4266	1.8729
1.3332	3.0	6399	1.8767

Framework versions

Transformers 4.8.2
Pytorch 1.9.0+cu102
Datasets 1.9.0
Tokenizers 0.10.3