Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 717221787
• CO2 Emissions (in grams): 7.025108874009706

Validation Metrics

• Loss: 0.35467109084129333
• Accuracy: 0.9186046511627907
• Macro F1: 0.9202890631142154
• Micro F1: 0.9186046511627907
• Weighted F1: 0.9185859051606837
• Macro Precision: 0.921802482563032
• Micro Precision: 0.9186046511627907
• Weighted Precision: 0.9210238644296779
• Macro Recall: 0.9218155764486292
• Micro Recall: 0.9186046511627907
• Weighted Recall: 0.9186046511627907

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221787", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221787", use_auth_token=True)

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

outputs = model(**inputs)