
# Model Trained Using AutoTrain

- Problem type: Text Classification

# Training parameters

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

## Validation Metrics
loss: 0.40832215547561646

f1: 0.6293779404077365

precision: 0.6522210184182016

recall: 0.6080808080808081

auc: 0.8514470284237725

accuracy: 0.82275

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