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ner-bert-german-addresses-finetuned – AI Model by TomasVe | AlphaNeural AI
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TomasVe
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ner-bert-german-addresses-finetuned
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safetensors
bert
generated_from_trainer
mschiesser/ner-bert-german
finetune
apache-2.0
us
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ner-bert-german-addresses-finetuned
This model is a fine-tuned version of
mschiesser/ner-bert-german
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.0006
1.0
14959
0.0000
1.0000
1.0000
1.0000
1.0000
0.0
2.0
29918
0.0000
1.0
1.0
1.0
1.0
0.0
3.0
44877
0.0000
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.36.2
Pytorch 2.4.0+cu118
Datasets 2.21.0
Tokenizers 0.15.2
