
# Model Trained Using AutoTrain

- Problem type: Text Classification

# Training parameters

- lr: 5e-05
- epochs: 5
- batch size: 8

## Validation Metrics

loss: 0.40127208828926086

f1: 0.6585251291686237

precision: 0.6154521510096576

recall: 0.7080808080808081

auc: 0.8725866639820129

accuracy: 0.81825

{"tags": ["text-classification", "sexism"], "datasets": ["MatteoWood/bert-sexism-classifier-aug1000-dataset"], "widget": [{"text": "I love women"}, {"text": "I hate women"}]}
transformers safetensors bert text-classification sexism dataset:MatteoWood/bert-sexism-classifier-aug1000-dataset autotrain_compatible endpoints_compatible region:us