| Vodka Project 2025. | |
| Model Training Information | |
| =========================== | |
| Model Name: vodka_btc_1m | |
| Training Time (seconds): 135.20 | |
| Total Epochs: 18 | |
| Final Training Loss: 0.007943 | |
| Final Validation Loss: 0.000936 | |
| Number of Parameters: 496387 | |
| Dataset Information | |
| ------------------- | |
| Dataset: crypto_data_BTCUSDT_1m.csv | |
| Input Shape: (16, 5) | |
| Output Shape: (3,) | |
| Features Used: ['Open', 'High', 'Low', 'Close', 'Volume'] | |
| Normalization: StandardScaler | |
| Training Configuration | |
| ---------------------- | |
| Optimizer: Adam (learning_rate=0.001) | |
| Loss Function: Mean Squared Error (MSE) | |
| EarlyStopping: patience=10, restore_best_weights=True | |
| ReduceLROnPlateau: factor=0.5, patience=5, min_lr=1e-6 | |
| Hardware Information | |
| -------------------- | |
| Device: /physical_device:GPU:0 |