metadata

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

bert-base-dutch-cased-finetuned-gv

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: 1.7477

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
1.3346	1.0	4578	1.7827
1.1395	2.0	9156	1.8273
1.0271	3.0	13734	1.7477

Framework versions

Transformers 4.9.0
Pytorch 1.9.0+cu102
Datasets 1.10.2
Tokenizers 0.10.3