Model Finetuned from BERT-base for

• Problem type: Multi-class Classification
• Model ID: 25805800

Validation Metrics

• Loss: 0.4422711133956909
• Accuracy: 0.8615328555811976
• Macro F1: 0.8642434650461513
• Micro F1: 0.8615328555811976
• Weighted F1: 0.8617743626671308
• Macro Precision: 0.8649112225076049
• Micro Precision: 0.8615328555811976
• Weighted Precision: 0.8625407179375096
• Macro Recall: 0.8640777539828228
• Micro Recall: 0.8615328555811976
• Weighted Recall: 0.8615328555811976

Usage

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("Crasher222/kaggle-comp-test")

tokenizer = AutoTokenizer.from_pretrained("Crasher222/kaggle-comp-test")

inputs = tokenizer("I am in love with you", return_tensors="pt")

outputs = model(**inputs)