
# Model Trained Using AutoTrain

- Problem type: Text Classification

## Validation Metrics
loss: 0.8727797865867615

f1_macro: 0.4743843561639563

f1_micro: 0.7148333333333333

f1_weighted: 0.6973841930196186

precision_macro: 0.689196184834718

precision_micro: 0.7148333333333333

precision_weighted: 0.7078896728033317

recall_macro: 0.41641019062275997

recall_micro: 0.7148333333333333

recall_weighted: 0.7148333333333333

accuracy: 0.7148333333333333

{"tags": ["autotrain", "text-classification"], "datasets": ["autotrain-rqsu1-nelrs/autotrain-data"], "widget": [{"text": "I love AutoTrain"}]}
transformers safetensors bert text-classification autotrain dataset:autotrain-rqsu1-nelrs/autotrain-data autotrain_compatible endpoints_compatible region:us