tensorboard safetensors bert autotrain text-classification dataset:jimfhahn/SemEval2025-Task5-Curated-Data base_model:google-bert/bert-base-german-cased base_model:finetune:google-bert/bert-base-german-cased region:us
---
base_model: google-bert/bert-base-german-cased
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: 6.8204345703125

f1_macro: 0.009477047596877624

f1_micro: 0.06276134649533156

f1_weighted: 0.03996332128759549

precision_macro: 0.008540631772865619

precision_micro: 0.06276134649533156

precision_weighted: 0.03304113276853252

recall_macro: 0.014575594682055309

recall_micro: 0.06276134649533156

recall_weighted: 0.06276134649533156

accuracy: 0.06276134649533156