Validation Metrics

• Loss: 0.537
• Accuracy: 0.721
• Macro F1: 0.720
• Micro F1: 0.721
• Weighted F1: 0.720
• Macro Precision: 0.723
• Micro Precision: 0.721
• Weighted Precision: 0.723
• Macro Recall: 0.721
• Micro Recall: 0.721
• Weighted Recall: 0.721
• Problem type: Multi-class Classification
• CO2 Emissions (in grams): 3.2437
• Model ID: 2994886333

Use with Python API

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("yigitkucuk/Epironica", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("yigitkucuk/Epironica", use_auth_token=True)

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

outputs = model(**inputs)