Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 717221781
• CO2 Emissions (in grams): 2.258363491829382

Validation Metrics

• Loss: 0.38660314679145813
• Accuracy: 0.9042081949058693
• Macro F1: 0.9079200295131094
• Micro F1: 0.9042081949058692
• Weighted F1: 0.9052766730963512
• Macro Precision: 0.9116101664087508
• Micro Precision: 0.9042081949058693
• Weighted Precision: 0.9097680514456175
• Macro Recall: 0.9080246002936301
• Micro Recall: 0.9042081949058693
• Weighted Recall: 0.9042081949058693

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221781", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221781", use_auth_token=True)

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

outputs = model(**inputs)