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bert-base-dutch-cased-finetuned-NER – AI Model by Matthijsvanhof | AlphaNeural AI
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Matthijsvanhof
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bert-base-dutch-cased-finetuned-NER
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transformers
pytorch
tensorboard
bert
token-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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bert-base-dutch-cased-finetuned-NER
This model is a fine-tuned version of
GroNLP/bert-base-dutch-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1078
Precision: 0.6129
Recall: 0.6639
F1: 0.6374
Accuracy: 0.9688
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
267
0.1131
0.6090
0.6264
0.6176
0.9678
0.1495
2.0
534
0.1078
0.6129
0.6639
0.6374
0.9688
Framework versions
Transformers 4.12.5
Pytorch 1.10.0+cu111
Datasets 1.16.1
Tokenizers 0.10.3
