Create README.md

README.md

@@ -0,0 +1,70 @@
+The purpose of this copy of the MNIST small dataset [mnist_test.csv (20,000 samples) and mnist_train_small.csv (10,000 samples)] copied from Colab is simply to illustrate how WEIRD and totally deformed/unrecognizable are the 1% to 2% test samples that are difficult for a competent Vision model to correctly classify.
+See for yourself (up to 4 misclassified test samples shown per training epoch)
+
+Vision_model_V2.1.py
+
+--- Hyperparameters ---
+
+[INFO] Loading datasets...
+[AUGMENT] Creating augmented training data...
+[AUGMENT] Created augmentation pipeline: [RandomAffine(degrees=[-8.0, 8.0], translate=(0.07142857142857142, 0), shear=[0.0, 0.0])]
+[AUGMENT] Original train size: 20000. New size: 40000
+[INFO] Calculating class distribution and entropy...
+
+--- Dataset Information ---
+  Name:                        MNIST (Small)
+  Source:                      Included in Google Colab's /sample_data directory
+  Original Train Samples      20000
+  Total Train Samples (w/ Aug) 40000
+  Test Samples                10000
+  Image Dimensions            1x28x28
+  Classes                     [np.int64(0), np.int64(1), np.int64(2), np.int64(3), np.int64(4), np.int64(5), np.int64(6), np.int64(7), np.int64(8), np.int64(9)]
+  Class Entropy Contrib:
+    Class 0: 0.3286
+    Class 1: 0.3540
+    Class 2: 0.3312
+    Class 3: 0.3342
+    Class 4: 0.3249
+    Class 5: 0.3087
+    Class 6: 0.3358
+    Class 7: 0.3438
+    Class 8: 0.3238
+    Class 9: 0.3343
+  Total Label Entropy: 3.3192 (Max: 3.3219)
+============================================================
+
+--- Starting Training ---
+[MODEL] New best accuracy: 97.83%. Saving model to output/best_model.pt
+Epoch [01/20] | Train Loss: 0.1843, Train Acc: 94.28% | Test Loss: 0.0667, Test Acc: 97.83% | LR: 1.00e-03
+[ANALYSIS] Displaying up to 4 failed test samples for Epoch 1...
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66033315803114181a72fe6e/OLBMTQkWYiyVRz4vjOd42.png)
+[PLOT] Saved failed samples plot to output/failed_samples_epoch_1.png
+
+[MODEL] New best accuracy: 98.10%. Saving model to output/best_model.pt
+Epoch [02/20] | Train Loss: 0.0830, Train Acc: 97.45% | Test Loss: 0.0570, Test Acc: 98.10% | LR: 1.00e-03
+[ANALYSIS] Displaying up to 4 failed test samples for Epoch 2...
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66033315803114181a72fe6e/7lx_cz0k57DNd3cXkV4D5.png)
+[PLOT] Saved failed samples plot to output/failed_samples_epoch_2.png
+
+[MODEL] New best accuracy: 98.29%. Saving model to output/best_model.pt
+Epoch [03/20] | Train Loss: 0.0589, Train Acc: 98.16% | Test Loss: 0.0529, Test Acc: 98.29% | LR: 1.00e-03
+[ANALYSIS] Displaying up to 4 failed test samples for Epoch 3...
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66033315803114181a72fe6e/f0JsAwaW9fwNMiWjIe42g.png)
+[PLOT] Saved failed samples plot to output/failed_samples_epoch_3.png
+
+[MODEL] New best accuracy: 98.72%. Saving model to output/best_model.pt
+Epoch [04/20] | Train Loss: 0.0473, Train Acc: 98.51% | Test Loss: 0.0426, Test Acc: 98.72% | LR: 1.00e-03
+[ANALYSIS] Displaying up to 4 failed test samples for Epoch 4...
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66033315803114181a72fe6e/N_CKo2SKBzPq-Yx4tD5YE.png)
+[PLOT] Saved failed samples plot to output/failed_samples_epoch_4.png
+
+Epoch [05/20] | Train Loss: 0.0398, Train Acc: 98.71% | Test Loss: 0.0470, Test Acc: 98.54% | LR: 1.00e-03
+[ANALYSIS] Displaying up to 4 failed test samples for Epoch 5...
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66033315803114181a72fe6e/Eq2rZIziH80AL1F45zs7t.png)
+[PLOT] Saved failed samples plot to output/failed_samples_epoch_5.png
+
+[MODEL] New best accuracy: 98.75%. Saving model to output/best_model.pt
+Epoch [06/20] | Train Loss: 0.0374, Train Acc: 98.79% | Test Loss: 0.0400, Test Acc: 98.75% | LR: 1.00e-03
+[ANALYSIS] Displaying up to 4 failed test samples for Epoch 6...
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66033315803114181a72fe6e/rwF4seg194UcjKx5mevVu.png)
+[PLOT] Saved failed samples plot to output/failed_samples_epoch_6.png