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Use with:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("MartynaKopyta/fever-full-bert-base-finetuned")
tokenizer = AutoTokenizer.from_pretrained("MartynaKopyta/fever-full-bert-base-finetuned")

Test metrics:

  • test_f1: 79.20%
  • test_accuracy: 79.95%
  • For more details, see the training log in the model files.

Confusion matrix

precision    recall  f1-score   support

NOT ENOUGH INFO       0.74      0.74      0.74      4417
        REFUTES       0.82      0.82      0.82      6885
       SUPPORTS       0.82      0.81      0.82      7265

       accuracy                           0.80     18567
      macro avg       0.79      0.79      0.79     18567
   weighted avg       0.80      0.80      0.80     18567
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