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distilbert-german-finetuned-ner-v2 – AI Model by MissAvery | AlphaNeural AI
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MissAvery
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distilbert-german-finetuned-ner-v2
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transformers
tensorboard
safetensors
distilbert
token-classification
generated_from_trainer
distilbert/distilbert-base-german-cased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-german-finetuned-ner-v2
This model is a fine-tuned version of
distilbert-base-german-cased
on a custom dataset. It achieves the following results on the evaluation set:
Loss: 0.0016
Precision: 0.9985
Recall: 0.9982
F1: 0.9983
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: 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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.041
1.0
1000
0.0077
0.9919
0.9934
0.9926
0.9980
0.0068
2.0
2000
0.0041
0.9969
0.9971
0.9970
0.9989
0.0032
3.0
3000
0.0016
0.9985
0.9982
0.9983
0.9995
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.2
