Added a loss_saver file to save the losses

Project_Model/Libs/Training/loss_saver.py

@@ -0,0 +1,16 @@
+import os
+
+class Log:
+    def __init__(self, path):
+        self.path = path
+        header = ["avg_txt","avg_enc","avg_dec","txt_loss","masking_loss","prediction_loss"]
+        
+        with open(self.path, "w", encoding="utf-8", newline="") as f:
+            f.write(",".join(header) + "\n")
+
+    def write(self, loss: list[float]):
+        line = ",".join(str(float(x)) for x in loss) + "\n"
+        with open(self.path, "a", encoding="utf-8", newline="") as f:
+            f.write(line)
+            f.flush()
+            os.fsync(f.fileno())  # extra durability per write # suggested against sudden crashes since it will be done