
# Model Trained Using AutoTrain

- Problem type: Text Classification

# Training parameters

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

## Validation Metrics
loss: 0.36799120903015137

f1: 0.7044155844155844

precision: 0.7251336898395722

recall: 0.6848484848484848

auc: 0.8958072418537535

accuracy: 0.85775
{"tags": ["text-classification", "sexism"], "datasets": ["MatteoWood/bert-sexism-classifier-dataset"], "widget": [{"text": "I love women"}, {"text": "I hate women"}]}
transformers safetensors bert text-classification sexism dataset:MatteoWood/bert-sexism-classifier-dataset autotrain_compatible endpoints_compatible region:us