Model Trained Using AutoNLP

• Problem type: Multi-class Classification
• Model ID: 35868888
• CO2 Emissions (in grams): 186.8637425115097

Validation Metrics

• Loss: 0.2020547091960907
• Accuracy: 0.9233253193796257
• Macro F1: 0.9240407542958707
• Micro F1: 0.9233253193796257
• Weighted F1: 0.921800586774046
• Macro Precision: 0.9432284179846658
• Micro Precision: 0.9233253193796257
• Weighted Precision: 0.9247263361914827
• Macro Recall: 0.9139437626409382
• Micro Recall: 0.9233253193796257
• Weighted Recall: 0.9233253193796257

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("bgoel4132/autonlp-twitter-sentiment-35868888", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("bgoel4132/autonlp-twitter-sentiment-35868888", use_auth_token=True)

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

outputs = model(**inputs)