update README

README.md

@@ -11,9 +11,9 @@ license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+## Assignment 13
 
-## For Assignment 13
-
+### What is done and how
 
 First I took Rohan shared input file, S13.ipy that is an S11 reference, where resnet code exists with lots of gradio examples.
 Ensured it builds successfully.
@@ -33,3 +33,53 @@ I integrated above said three items such as gradcam for multiple images, misclas
 
 Fourthly I started working on above working code to modularize it so that few py files will hold major part of code.
 I started working on HuggingFace and created / updated required files and it is made to be in working state in HuggingFace.
+
+
+My spaces app has these features:
+1. Asks the user whether he/she wants to see GradCAM images and how many, and from which layer, allow opacity change as well
+2. Asks whether he/she wants to view misclassified images, and how many
+3. Allow users to upload new images, as well as provide 10 example images
+
+In a tabbed interface, gradio framework is used and available for use from HuggingFace.
+
+HuggingFace https://huggingface.co/spaces/raja5259/eraV2s13_raj
+Github https://github.com/rajayourfriend/EraV2/
+
+### Log of Training  
+
+Below is the log of training with pytorch lightning for 26 epochs with 6.6M params and got a test_acc of 91.28%
+
+INFO:pytorch_lightning.utilities.rank_zero:GPU available: True (cuda), used: True
+INFO:pytorch_lightning.utilities.rank_zero:TPU available: False, using: 0 TPU cores
+INFO:pytorch_lightning.utilities.rank_zero:IPU available: False, using: 0 IPUs
+INFO:pytorch_lightning.utilities.rank_zero:HPU available: False, using: 0 HPUs
+Files already downloaded and verified
+Files already downloaded and verified
+INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+INFO:pytorch_lightning.callbacks.model_summary:
+  | Name  | Type    | Params
+----------------------------------
+0 | model | Net_S13 | 6.6 M 
+----------------------------------
+6.6 M     Trainable params
+0         Non-trainable params
+6.6 M     Total params
+26.293    Total estimated model params size (MB)
+Epoch 25: 100%
+ 197/197 [00:23<00:00,  8.53it/s, loss=0.0844, v_num=3, val_loss=0.261, val_acc=0.916]
+INFO:pytorch_lightning.utilities.rank_zero:`Trainer.fit` stopped: `max_epochs=26` reached.
+Files already downloaded and verified
+Files already downloaded and verified
+INFO:pytorch_lightning.accelerators.cuda:LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]
+Testing DataLoader 0: 100%
+ 40/40 [00:03<00:00, 11.30it/s]
+┏━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
+┃        Test metric        ┃       DataLoader 0        ┃
+┡━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
+│         test_acc          │    0.9128999710083008     │
+│         test_loss         │    0.2818313539028168     │
+└───────────────────────────┴───────────────────────────┘
+[{'test_loss': 0.2818313539028168, 'test_acc': 0.9128999710083008}]
+
+
+