tensorboard safetensors bert autotrain text-classification dataset:jimfhahn/SemEval2025-Task5-Curated-Data base_model:google-bert/bert-base-multilingual-uncased base_model:finetune:google-bert/bert-base-multilingual-uncased region:us
---
base_model: google-bert/bert-base-multilingual-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: 6.482921600341797

f1_macro: 0.008544458810644008

f1_micro: 0.06831764458786016

f1_weighted: 0.04166472605237575

precision_macro: 0.007774664645041587

precision_micro: 0.06831764458786016

precision_weighted: 0.034648853845008584

recall_macro: 0.013970747034737791

recall_micro: 0.06831764458786016

recall_weighted: 0.06831764458786016

accuracy: 0.06831764458786016