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Best hyperparams (RoBERTa)
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rlacombe committed Dec 24, 2023
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2 changes: 1 addition & 1 deletion roberta_classifier.py
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epochs = 2
eval_steps = 200 # Can reduce after hyperparams search
fine_tune_bert = True # False to fine-tune only head
total_size = 12000 # Oversampling dataset size
total_size = 8000 # Oversampling dataset size
dropout_prob=0.1 # Dropout rate, default 0.1

# Load dataset into a pandas DataFrame
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