bert-base-dutch-cased-finetuned-ner – AI Model by samihaelmansouri | AlphaNeural AI

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samihaelmansouri/
bert-base-dutch-cased-finetuned-ner

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token-classification

generated_from_trainer

GroNLP/bert-base-dutch-cased

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: 0.0004
Precision: 1.0
Recall: 1.0
F1: 1.0
Accuracy: 1.0

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
No log	1.0	27	0.0399	0.5495	0.3205	0.4049	0.9859
No log	2.0	54	0.0072	0.9868	0.9615	0.9740	0.9989
No log	3.0	81	0.0034	1.0	0.9744	0.9870	0.9995
No log	4.0	108	0.0011	1.0	0.9872	0.9935	0.9998
No log	5.0	135	0.0007	1.0	1.0	1.0	1.0
No log	6.0	162	0.0005	1.0	1.0	1.0	1.0
No log	7.0	189	0.0004	1.0	1.0	1.0	1.0
No log	8.0	216	0.0004	1.0	1.0	1.0	1.0

Framework versions

Transformers 4.55.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4