diff options
author | Anthony Wang | 2021-09-03 11:32:55 -0500 |
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committer | Anthony Wang | 2021-09-03 11:32:55 -0500 |
commit | a4f072d08a1258fe4a4bf33b73bac30ac2e0ca4d (patch) | |
tree | 76515be649be891245ca8756fd0937f6e79fc1f6 | |
parent | 20c8739f9979a7e76aa047c58ff7114f39fc4793 (diff) |
Save model to file and generate images
-rw-r--r-- | accuracy.png | bin | 0 -> 21588 bytes | |||
-rw-r--r-- | loss.png | bin | 0 -> 36478 bytes | |||
-rw-r--r-- | mnist.py | 8 | ||||
-rw-r--r-- | model.pth | bin | 2680919 -> 5907689 bytes |
4 files changed, 6 insertions, 2 deletions
diff --git a/accuracy.png b/accuracy.png Binary files differnew file mode 100644 index 0000000..4d04a64 --- /dev/null +++ b/accuracy.png diff --git a/loss.png b/loss.png Binary files differnew file mode 100644 index 0000000..8a9eca4 --- /dev/null +++ b/loss.png @@ -113,14 +113,18 @@ for epoch in range(num_epochs): print("Iteration: {}, Loss: {}, Accuracy: {}%".format(count, loss.data, accuracy)) +torch.save(model.state_dict(), "model.pth") +print("Saved PyTorch Model State to model.pth") + + plt.plot(iteration_list, loss_list) plt.xlabel("No. of Iteration") plt.ylabel("Loss") plt.title("Iterations vs Loss") -plt.show() +plt.savefig("loss.png") plt.plot(iteration_list, accuracy_list) plt.xlabel("No. of Iteration") plt.ylabel("Accuracy") plt.title("Iterations vs Accuracy") -plt.show() +plt.savefig("accuracy.png") Binary files differ |