tensorboard safetensors bert autotrain text-classification dataset:jimfhahn/SemEval2025-Task5-Curated-Data base_model:google-bert/bert-base-german-dbmdz-uncased base_model:finetune:google-bert/bert-base-german-dbmdz-uncased region:us
---
base_model: google-bert/bert-base-german-dbmdz-uncased
datasets:
- jimfhahn/SemEval2025-Task5-Curated-Data
tags:
- autotrain
- text-classification
widget:
- text: I love AutoTrain
---

# Model Trained Using AutoTrain

- Problem type: Text Classification

## Validation Metrics
loss: 6.3027753829956055

f1_macro: 0.01161417298547144

f1_micro: 0.07696713955664178

f1_weighted: 0.048761985983084254

precision_macro: 0.010651667931508782

precision_micro: 0.07696713955664178

precision_weighted: 0.04112571787099999

recall_macro: 0.018066297716290706

recall_micro: 0.07696713955664178

recall_weighted: 0.07696713955664178

accuracy: 0.07696713955664178