Upload README.md with huggingface_hub
Browse files
README.md
CHANGED
|
@@ -28,10 +28,10 @@ The system employs a sophisticated ensemble architecture:
|
|
| 28 |
- **Ensemble Heads**: Specialized prediction heads inspired by XGBoost, LightGBM, Random Forest, and Gradient Boosting
|
| 29 |
- **Dynamic Weighting**: Softmax-based attention weights for weighted prediction averaging
|
| 30 |
|
| 31 |
-
## Latest Training Stats (2026-01-11 19:
|
| 32 |
-
- **Last Trained Symbol**:
|
| 33 |
- **Validation Accuracy**: 98.5%
|
| 34 |
-
- **Validation Loss (MSE)**: 0.
|
| 35 |
- **Total Unique Symbols in Training History**: N/A
|
| 36 |
|
| 37 |
## Continuous Training
|
|
|
|
| 28 |
- **Ensemble Heads**: Specialized prediction heads inspired by XGBoost, LightGBM, Random Forest, and Gradient Boosting
|
| 29 |
- **Dynamic Weighting**: Softmax-based attention weights for weighted prediction averaging
|
| 30 |
|
| 31 |
+
## Latest Training Stats (2026-01-11 19:12:10)
|
| 32 |
+
- **Last Trained Symbol**: SEZL
|
| 33 |
- **Validation Accuracy**: 98.5%
|
| 34 |
+
- **Validation Loss (MSE)**: 0.001467025838792324
|
| 35 |
- **Total Unique Symbols in Training History**: N/A
|
| 36 |
|
| 37 |
## Continuous Training
|