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shop_ger_ner – AI Model by onedapperterm | AlphaNeural AI
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shop_ger_ner
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transformers
pytorch
bert
token-classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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shop_ger_ner
This model is a fine-tuned version of
dbmdz/bert-base-german-cased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0012
Precision: 0.9971
Recall: 0.9971
F1: 0.9971
Accuracy: 0.9995
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
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
No log
1.0
301
0.0028
0.9962
0.9962
0.9962
0.9992
0.1056
2.0
602
0.0014
0.9962
0.9962
0.9962
0.9994
0.1056
3.0
903
0.0012
0.9971
0.9971
0.9971
0.9995
Framework versions
Transformers 4.26.1
Pytorch 1.13.1
Datasets 2.9.0
Tokenizers 0.13.2
