Save model and metrics

1 files changed, 17 insertions, 1 deletions

diff --git a/experiment/experiment.py b/experiment/experiment.py
index 600732f..b06408f 100644
--- a/experiment/experiment.py
+++ b/experiment/experiment.py
@@ -2,6 +2,9 @@ import subprocess
 import os
 import time
 
+import pandas as pd
+import torch
+
 from train.train import train_model
 from util.parse_config import parse_file
 from model.encoder import EncoderModel
@@ -16,11 +19,24 @@ class Experiment:
     def run(self):
         model_config, train_config = parse_file(self.file)
         model = EncoderModel(device=self.device, **model_config).to(self.device)
-        train_model(model, device=self.device, **train_config)
+        train_losses, test_losses, accuracies = train_model(model, device=self.device, **train_config)
+        self.save_model(model)
+        self.save_metrics(train_losses, test_losses, accuracies)
+
+    def save_model(self, model):
+        torch.save(model.state_dict(), self.dir_path('net.pt'))
 
     def dir_path(self, file):
         return '{}/{}'.format(self.dirname, file)
 
+    def save_metrics(self, train_losses, test_losses, accuracies):
+        data_frame = pd.DataFrame({
+            'train_loss': train_losses,
+            'test_loss': test_losses,
+            'accuracy': accuracies
+        })
+        data_frame.to_csv(self.dir_path('metrics.csv'))
+
     def make_dir(self, prefix):
         time_string = time.strftime('%Y%m%d%H%M%S')
         prefix = '' if prefix == '' else '{}-'.format(prefix)