Metric.compute()
I am trying to do multiclass classification. I am following the HuggingFace sentiment analysis blog from Federico Pascual. When it came to define the metric function I just copied the code from the blog:import numpy as npfrom datasets import load_metricdef compute_metrics(eval_pred):load_accuracy = load_metric(“accuracy”)load_f1 = load_metric(“f1”)logits, labels = eval_predpredictions = np.argmax(logits, axis=-1)accuracy = load_accuracy.compute(predictions=predictions, references=labels)[“accuracy”]f1 = load_f1.compute(predictions=predictions, references=labels)[“f1”]return {“accuracy”: accuracy, “f1”: f1}When I run trainer.evaluate() I get this error:ValueError: Target is multiclass but average=‘binary’. Please choose another average setting, one of [None, ‘micro’, ‘macro’, ‘weighted’].Then I added the ‘average’ parameter to load_accuracy.compute() and load_f1.compute() and set it to first ‘None’ then ‘weighted’ and both led to same error:TypeError: _compute() got an unexpected keyword argument ‘average’You guys have any idea what’s wrong? Thanks in advance