ffn__64x2

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 ffn.keras filter=lfs diff=lfs merge=lfs -text
+ffn__64x2.keras filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,10 +1,10 @@
 ---
 license: apache-2.0
 datasets:
-- Ritvik19/Sudoku-Dataset
+  - Ritvik19/Sudoku-Dataset
 ---
 
-# Model Card: Sudoku Net 1.0
+# Model Card: Sudoku Net
 
 ## Model Overview
 
@@ -21,15 +21,13 @@ datasets:
 - Batch Size: 64K
 - Training Dataset [Sudoku Dataset](https://huggingface.co/datasets/Ritvik19/Sudoku-Dataset)
 
-### Model Architecture
+### Models
 
-- **Model Type:** Feed Forward Neural Network
-- **Architecture Details:** Consists of two Linear layers, each with 64 units, followed by 81 output branches. ReLu activation was used for hidden layers.
+| Model Filename         | Accuracy |
+| ---------------------- | -------: |
+| ffn__64x2.keras        |  0.92932 |
 
-## Performance Metrics
-
-- Evaluation Metric: Accuracy (determined by whether the model correctly solves a problem or not)
 
 ## Model Usage
 
-- Users can interact with the model through this [Space](https://huggingface.co/spaces/Ritvik19/SudokuNetDemo).
+- Users can interact with the model through this [Space](https://huggingface.co/spaces/Ritvik19/SudokuNetDemo).

ffn__64x2.keras

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