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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)
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