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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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