Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 49241119078
• CO2 Emissions (in grams): 0.4690

Validation Metrics

• Loss: 1.676
• Accuracy: 0.800
• Macro F1: 0.733
• Micro F1: 0.800
• Weighted F1: 0.733
• Macro Precision: 0.700
• Micro Precision: 0.800
• Weighted Precision: 0.700
• Macro Recall: 0.800
• Micro Recall: 0.800
• Weighted Recall: 0.800

Usage

Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("tradero/distilbert-user-intent", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("tradero/distilbert-user-intent", use_auth_token=True)

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

outputs = model(**inputs)