
# Model Trained Using AutoTrain

- Problem type: Text Classification

# Training parameters

- lr: 5e-05
- epochs: 3
- batch size: 8

## Validation Metrics
loss: 0.5597109794616699

f1: 0.0

precision: 0.0

recall: 0.0

auc: 0.3925796167656633

accuracy: 0.7525

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