Model Trained Using AutoTrain

Problem type: Token Classification

Validation Metrics

loss: 2.344400405883789

precision: 0.09302325581395349

recall: 0.25

f1: 0.13559322033898305

accuracy: 0.5533980582524272

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Safetensors

Model size

109M params

Tensor type

F32

Inference Examples

Token Classification

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google-bert/bert-base-german-cased

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