tensorboard safetensors bert autotrain text-classification dataset:jimfhahn/SemEval2025-Task5-Curated-Data base_model:google-bert/bert-base-multilingual-cased base_model:finetune:google-bert/bert-base-multilingual-cased region:us
---
base_model: google-bert/bert-base-multilingual-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: 6.522752285003662

f1_macro: 0.009065770998272544

f1_micro: 0.07129627861684455

f1_weighted: 0.043941274155093045

precision_macro: 0.008029350516190904

precision_micro: 0.07129627861684455

precision_weighted: 0.03595543350538865

recall_macro: 0.014735118583896051

recall_micro: 0.07129627861684455

recall_weighted: 0.07129627861684455

accuracy: 0.07129627861684455