yigitkucuk/Sentimentale

Validation Metrics

• Loss: 0.576
• Accuracy: 0.827
• Macro F1: 0.711
• Micro F1: 0.827
• Weighted F1: 0.827
• Macro Precision: 0.708
• Micro Precision: 0.827
• Weighted Precision: 0.828
• Macro Recall: 0.716
• Micro Recall: 0.827
• Weighted Recall: 0.827
• Problem type: Multi-class Classification
• CO2 Emissions (in grams): 0.7403
• Model ID: 3099088026

Use with Python API

from transformers import AutoModelForSequenceClassification, AutoTokenizer

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

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

inputs = tokenizer("Oh, the tragedy!", return_tensors="pt")

outputs = model(**inputs)