Update model

efficientnet_realwaste/class_mapping.txt

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+Cardboard:0
+Food Organics:1
+Glass:2
+Metal:3
+Miscellaneous Trash:4
+Paper:5
+Plastic:6
+Textile Trash:7
+Vegetation:8

efficientnet_realwaste/training_history.txt

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+Epoch 1: Train Loss: 1.4898652232113416, Train Accuracy: 0.5573382430299842, Val Accuracy: 0.716842105263158
+Epoch 2: Train Loss: 0.7227334283578402, Train Accuracy: 0.7735402419779064, Val Accuracy: 0.7947368421052632
+Epoch 3: Train Loss: 0.5084883100042087, Train Accuracy: 0.832982640715413, Val Accuracy: 0.8515789473684211
+Epoch 4: Train Loss: 0.37562068611744015, Train Accuracy: 0.87506575486586, Val Accuracy: 0.8852631578947369
+Epoch 5: Train Loss: 0.2874444230003522, Train Accuracy: 0.9074171488690163, Val Accuracy: 0.9
+Epoch 6: Train Loss: 0.22963686990524707, Train Accuracy: 0.927669647553919, Val Accuracy: 0.9021052631578947
+Epoch 7: Train Loss: 0.19216413842195715, Train Accuracy: 0.9397685428721725, Val Accuracy: 0.9178947368421052
+Epoch 8: Train Loss: 0.15500817026576513, Train Accuracy: 0.9523934771173067, Val Accuracy: 0.9094736842105263
+Epoch 9: Train Loss: 0.1272350896477135, Train Accuracy: 0.9608100999473961, Val Accuracy: 0.9178947368421052
+Epoch 10: Train Loss: 0.10998768251642059, Train Accuracy: 0.9658074697527617, Val Accuracy: 0.9105263157894737
+Epoch 11: Train Loss: 0.1089113511689897, Train Accuracy: 0.9647553918990005, Val Accuracy: 0.9178947368421052
+Epoch 12: Train Loss: 0.09066814077584007, Train Accuracy: 0.9708048395581274, Val Accuracy: 0.9189473684210526
+Epoch 13: Train Loss: 0.07959352775248084, Train Accuracy: 0.9771173066806944, Val Accuracy: 0.911578947368421
+Epoch 14: Train Loss: 0.08354040890195255, Train Accuracy: 0.9747501315097317, Val Accuracy: 0.9178947368421052
+Epoch 15: Train Loss: 0.07290615616410359, Train Accuracy: 0.9758022093634929, Val Accuracy: 0.9221052631578948
+Epoch 16: Train Loss: 0.07417788411216758, Train Accuracy: 0.9758022093634929, Val Accuracy: 0.9305263157894736
+Epoch 17: Train Loss: 0.060608823299172804, Train Accuracy: 0.9807995791688585, Val Accuracy: 0.9231578947368421
+Epoch 18: Train Loss: 0.061998493299240946, Train Accuracy: 0.9810625986322988, Val Accuracy: 0.9336842105263158
+Epoch 19: Train Loss: 0.05866444571779503, Train Accuracy: 0.983955812730142, Val Accuracy: 0.9252631578947368
+Epoch 20: Train Loss: 0.056361969462402364, Train Accuracy: 0.9844818516570226, Val Accuracy: 0.9252631578947368
+Epoch 21: Train Loss: 0.043977877202550086, Train Accuracy: 0.9873750657548659, Val Accuracy: 0.9294736842105263
+Epoch 22: Train Loss: 0.04646206065142299, Train Accuracy: 0.9857969489742241, Val Accuracy: 0.9336842105263158
+Epoch 23: Train Loss: 0.04476604084712088, Train Accuracy: 0.9847448711204629, Val Accuracy: 0.9305263157894736
+Epoch 24: Train Loss: 0.04156344258145619, Train Accuracy: 0.9865860073645449, Val Accuracy: 0.9231578947368421
+Epoch 25: Train Loss: 0.03649743313243175, Train Accuracy: 0.9902682798527092, Val Accuracy: 0.9347368421052632
+Epoch 26: Train Loss: 0.029122575266048632, Train Accuracy: 0.9897422409258285, Val Accuracy: 0.9221052631578948
+Epoch 27: Train Loss: 0.03627962519222187, Train Accuracy: 0.988427143608627, Val Accuracy: 0.9157894736842105
+Epoch 28: Train Loss: 0.034874430499228205, Train Accuracy: 0.9897422409258285, Val Accuracy: 0.9294736842105263
+Epoch 29: Train Loss: 0.026129394865691317, Train Accuracy: 0.992898474487112, Val Accuracy: 0.9326315789473684
+Epoch 30: Train Loss: 0.022669989030723946, Train Accuracy: 0.9952656496580747, Val Accuracy: 0.9347368421052632
+Epoch 31: Train Loss: 0.024081176175279783, Train Accuracy: 0.9942135718043135, Val Accuracy: 0.9357894736842105
+Epoch 32: Train Loss: 0.023414466801740773, Train Accuracy: 0.9939505523408733, Val Accuracy: 0.9378947368421052
+Epoch 33: Train Loss: 0.02441263807764074, Train Accuracy: 0.9931614939505523, Val Accuracy: 0.9378947368421052
+Epoch 34: Train Loss: 0.02324289091784842, Train Accuracy: 0.9926354550236718, Val Accuracy: 0.9389473684210526
+Epoch 35: Train Loss: 0.02128110726024448, Train Accuracy: 0.9931614939505523, Val Accuracy: 0.9452631578947368
+Epoch 36: Train Loss: 0.025991329684685024, Train Accuracy: 0.99105733824303, Val Accuracy: 0.9368421052631579
+Epoch 37: Train Loss: 0.025473686188914036, Train Accuracy: 0.9923724355602315, Val Accuracy: 0.94
+Epoch 38: Train Loss: 0.025391660847244046, Train Accuracy: 0.9926354550236718, Val Accuracy: 0.9368421052631579
+Epoch 39: Train Loss: 0.02535378979984426, Train Accuracy: 0.9931614939505523, Val Accuracy: 0.9357894736842105
+Epoch 40: Train Loss: 0.02503310599443216, Train Accuracy: 0.9923724355602315, Val Accuracy: 0.9410526315789474
+Epoch 41: Train Loss: 0.02202327786574923, Train Accuracy: 0.9931614939505523, Val Accuracy: 0.9410526315789474
+Epoch 42: Train Loss: 0.01602203558213315, Train Accuracy: 0.9965807469752762, Val Accuracy: 0.9378947368421052
+Epoch 43: Train Loss: 0.01430147633138752, Train Accuracy: 0.9968437664387164, Val Accuracy: 0.9410526315789474
+Epoch 44: Train Loss: 0.016492493814401238, Train Accuracy: 0.9957916885849553, Val Accuracy: 0.9410526315789474
+Epoch 45: Train Loss: 0.018435357637551057, Train Accuracy: 0.9934245134139926, Val Accuracy: 0.9431578947368421