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Upload metadata_NVDA.json with huggingface_hub

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  1. metadata_NVDA.json +24 -24
metadata_NVDA.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "symbol": "NVDA",
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- "trained_at": "2025-12-02T23:56:17.119948",
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  "model_type": "ImprovedLSTM",
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  "architecture": {
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  "sequence_length": 60,
@@ -11,38 +11,38 @@
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  },
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  "training": {
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  "epochs_requested": 80,
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- "epochs_trained": 40,
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  "early_stopped": true,
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  "batch_size": 32,
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  "learning_rate": 0.001,
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- "patience": 12
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  },
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  "metrics": {
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- "mse": 1395.1828350615729,
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- "rmse": 37.35214632469696,
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- "mae": 34.975770674080685,
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- "mape": 22.769120330294957,
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- "r2": -0.919062851549133,
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- "directional_accuracy": 48.44290657439446,
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- "mean_percent_error": 22.769120330294957,
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- "test_samples": 290,
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  "predictions_sample": [
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  ],
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  "actuals_sample": [
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  ],
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- "final_train_loss": 0.00012417713531799246,
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- "best_val_loss": 0.0005963668039839831,
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- "epochs_trained": 40,
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  "early_stopped": true
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  }
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  }
 
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  {
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  "symbol": "NVDA",
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+ "trained_at": "2025-12-03T00:02:31.273655",
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  "model_type": "ImprovedLSTM",
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  "architecture": {
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  "sequence_length": 60,
 
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  },
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  "training": {
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  "epochs_requested": 80,
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+ "epochs_trained": 27,
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  "early_stopped": true,
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  "batch_size": 32,
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  "learning_rate": 0.001,
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+ "patience": 10
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  },
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  "metrics": {
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+ "mse": 172.93685290849166,
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+ "rmse": 13.150545726641601,
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+ "mae": 10.422764621885483,
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+ "mape": 7.500036213243375,
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+ "mean_percent_error": 7.500036213243375,
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  "actuals_sample": [
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  "early_stopped": true
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  }
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  }