| | --- |
| | tags: |
| | - autotrain |
| | - text-classification |
| | base_model: google-bert/bert-base-multilingual-uncased |
| | widget: |
| | - text: I love AutoTrain |
| | datasets: |
| | - jimfhahn/SemEval2025-Task5-Curated-Data |
| | --- |
| | |
| | # 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 |
