diff --git a/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/LLMBinaryFilter.java b/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/LLMBinaryFilter.java index 3d448a0e5d..9346b2cb1d 100644 --- a/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/LLMBinaryFilter.java +++ b/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/LLMBinaryFilter.java @@ -39,12 +39,12 @@ public class LLMBinaryFilter extends LLMBase implements Filter { private static final Logger LOGGER = LoggerFactory.getLogger(LLMBinaryFilter.class); /** - * Set of positive words to use. Default is "yes" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set)) + * Set of positive words to use. Default is "yes" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set)}) */ protected Set positiveWords; /** - * Set of negative words to use. Default is "no" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set)) + * Set of negative words to use. Default is "no" (and some variations of it (generated with {@link #includeMoreVariations(java.util.Set)}) */ protected Set negativeWords; diff --git a/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/TransformersFineTuner.java b/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/TransformersFineTuner.java index 8fe5444c11..ce781b83bd 100644 --- a/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/TransformersFineTuner.java +++ b/matching-ml/src/main/java/de/uni_mannheim/informatik/dws/melt/matching_ml/python/nlptransformers/TransformersFineTuner.java @@ -163,7 +163,7 @@ public int getMaximumPerDeviceTrainBatchSize (File trainingFile){ /** * This will add (potencially multiple) training parameters to the current {@link TransformersBase#trainingArguments trainingArguments} * to make the training faster. Thus do not change the trainingArguments object afterwards - * (with {@link TransformersBase#setTrainingArguments(de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers.TransformersTrainerArguments) setTrainingArguments} ). + * (with {@link TransformersBase#setTrainingArguments(de.uni_mannheim.informatik.dws.melt.matching_ml.python.nlptransformers.TransformersArguments) setTrainingArguments} ). * What you can do is to add more training arguments via getTrainingArguments.addParameter (as long as you do not modify any parameters added by this method). * The following parameters are set: *