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)
