Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 717221783
• CO2 Emissions (in grams): 0.014567637985425905

Validation Metrics

• Loss: 0.38848456740379333
• Accuracy: 0.9180509413067552
• Macro F1: 0.9157418163085091
• Micro F1: 0.9180509413067552
• Weighted F1: 0.9185290137253468
• Macro Precision: 0.9189981206383326
• Micro Precision: 0.9180509413067552
• Weighted Precision: 0.9221607328493303
• Macro Recall: 0.9158232837734661
• Micro Recall: 0.9180509413067552
• Weighted Recall: 0.9180509413067552

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("palakagl/autotrain-PersonalAssitant-717221783", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("palakagl/autotrain-PersonalAssitant-717221783", use_auth_token=True)

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

outputs = model(**inputs)