
# Model Trained Using AutoTrain

- Problem type: Text Classification

# Training parameters

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

## Validation Metrics
loss: 0.3898809254169464

f1: 0.7137662337662338

precision: 0.73475935828877

recall: 0.693939393939394

auc: 0.8955589113728649

accuracy: 0.86225

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