Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 1062136864
• CO2 Emissions (in grams): 141.11976199388627

Validation Metrics

• Loss: 0.10147109627723694
• Accuracy: 0.9859325979151907
• Macro F1: 0.9715036017680622
• Micro F1: 0.9859325979151907
• Weighted F1: 0.9859070541468058
• Macro Precision: 0.9732956651937184
• Micro Precision: 0.9859325979151907
• Weighted Precision: 0.9860574596777458
• Macro Recall: 0.970199341807239
• Micro Recall: 0.9859325979151907
• Weighted Recall: 0.9859325979151907

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Maxbnza/autotrain-address-training-1062136864", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)