| datasets: | |
| - breadlicker45/muti-label-gender-test2 | |
| base_model: | |
| - ibm-granite/granite-embedding-278m-multilingual | |
| pipeline_tag: text-classification | |
| ### Model Description | |
| This is a model for classifying male, female, and non-binary genders from one paragraph. | |
| ## Training Details | |
| * batch-size: 32 | |
| * epoch: 1 | |
| * GPU used: An Nvidia P40 gpu | |
| # Evaluation | |
| - F1 Score: 0.6816 | |
| - ROC AUC: 0.6976 | |
| - Accuracy: 0.4122 |