
# Model Trained Using AutoTrain

- Problem type: Text Classification

# Training parameters

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

## Validation Metrics
loss: 0.467494934797287

f1: 0.5462667517549457

precision: 0.7417677642980935

recall: 0.43232323232323233

auc: 0.7750367461995369

accuracy: 0.82225

{"tags": ["text-classification", "sexism"], "datasets": ["MatteoWood/bert-sexism-classifier-aug3000-dataset"], "widget": [{"text": "I love women"}, {"text": "I hate women"}]}
transformers safetensors bert text-classification sexism dataset:MatteoWood/bert-sexism-classifier-aug3000-dataset autotrain_compatible endpoints_compatible region:us