Log multiple metrics while training

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3

Can you please elaborate on your first statement. I tried these two variations - First one returns only recall and second one throws and error saying tuple is not accepted.

def compute_metrics(eval_pred):
    # metric = load_metric("glue", "mrpc")
    metric = load_metric("precision")
    metric = load_metric("recall")
    
    logits, labels = eval_pred
    predictions = np.argmax(logits, axis=-1)
    return metric.compute(predictions=predictions, references=labels)

def compute_metrics(eval_pred):
    # metric = load_metric("glue", "mrpc")
    metric1 = load_metric("precision")
    metric2 = load_metric("recall")
    
    logits, labels = eval_pred
    predictions = np.argmax(logits, axis=-1)
    return metric1.compute(predictions=predictions, references=labels), metric2.compute(predictions=predictions, references=labels)