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: 1.7837

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
1.4741	1.0	2603	1.8404
1.2384	2.0	5206	1.8457
1.2121	3.0	7809	1.7837

Framework versions

• Transformers 4.9.0
• Pytorch 1.9.0+cu102
• Datasets 1.10.2
• Tokenizers 0.10.3