Update lm_finetuning.py

lm_finetuning.py

@@ -23,6 +23,7 @@ import argparse
 import json
 import logging
 import os
+import math
 import shutil
 import urllib.request
 import multiprocessing
@@ -49,6 +50,10 @@ def internet_connection(host='http://google.com'):
         return False
 
 
+def sigmoid(x):
+  return 1 / (1 + math.exp(-x))
+
+
 def get_metrics():
     metric_accuracy = load_metric("accuracy", "multilabel")
     metric_f1 = load_metric("f1", "multilabel")
@@ -58,17 +63,14 @@ def get_metrics():
 
     def compute_metric_search(eval_pred):
         logits, labels = eval_pred
-        print('metric')
-        print(labels)
-        print(logits)
-        predictions = np.argmax(logits, axis=-1)
-        print(predictions)
+        predictions = np.array([[int(sigmoid(j) > 0.5) for j in i] for i in logits])
         print(labels.shape, logits.shape, predictions.shape)
         return metric_f1.compute(predictions=predictions, references=labels, average='micro')
 
     def compute_metric_all(eval_pred):
         logits, labels = eval_pred
-        predictions = np.argmax(logits, axis=-1)
+        predictions = np.array([[int(sigmoid(j) > 0.5) for j in i] for i in logits])
+        print(labels.shape, logits.shape, predictions.shape)
         return {
             'f1': metric_f1.compute(predictions=predictions, references=labels, average='micro')['f1'],
             'f1_macro': metric_f1.compute(predictions=predictions, references=labels, average='macro')['f1'],