Model Trained Using AutoTrain

• Problem type: Multi-class Classification
• Model ID: 913229914
• CO2 Emissions (in grams): 1.8892280988467902

Validation Metrics

• Loss: 1.0592747926712036
• Accuracy: 0.6535535147098981
• Macro F1: 0.46508274468173677
• Micro F1: 0.6535535147098981
• Weighted F1: 0.6452975497424681
• Macro Precision: 0.6288501119526966
• Micro Precision: 0.6535535147098981
• Weighted Precision: 0.6818087199275457
• Macro Recall: 0.3910156950920188
• Micro Recall: 0.6535535147098981
• Weighted Recall: 0.6535535147098981

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Yah216/autotrain-poem_meter_classification-913229914", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("Yah216/autotrain-poem_meter_classification-913229914", use_auth_token=True)

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

outputs = model(**inputs)