Upload evaluation_results.json with huggingface_hub
Browse files- evaluation_results.json +83 -0
evaluation_results.json
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{
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"model_info": {
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"name": "contextflow-rl",
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"version": "50",
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"algorithm": "GRPO + Q-Learning",
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"training_samples": 200,
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"total_epochs": 5,
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"final_loss": 0.2465
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},
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"training_history": [
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{"epoch": 1, "loss": 1.2456, "epsilon": 1.0, "avg_reward": 0.2},
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{"epoch": 2, "loss": 0.8923, "epsilon": 0.995, "avg_reward": 0.35},
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{"epoch": 3, "loss": 0.6541, "epsilon": 0.990, "avg_reward": 0.48},
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{"epoch": 4, "loss": 0.4127, "epsilon": 0.985, "avg_reward": 0.62},
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{"epoch": 5, "loss": 0.2465, "epsilon": 0.980, "avg_reward": 0.75}
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],
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"q_network_config": {
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"state_dim": 64,
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"action_dim": 10,
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"hidden_dim": 128,
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"learning_rate": 0.001,
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"gamma": 0.95,
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"epsilon_start": 1.0,
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"epsilon_end": 0.01,
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"epsilon_decay": 0.995
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},
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"actions": [
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"what_is_backpropagation",
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"why_gradient_descent",
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"how_overfitting_works",
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"explain_regularization",
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"what_loss_function",
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"how_optimization_works",
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"explain_learning_rate",
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"what_regularization",
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"how_batch_norm_works",
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"explain_softmax"
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],
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"sample_predictions": [
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{
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"scenario": "beginner_ml_student",
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"state_summary": {
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"progress": 0.3,
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"confusion_signals": 3.0,
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"gesture_signals": 2.0
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},
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"prediction": "what_is_backpropagation",
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"confidence": 0.72
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},
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{
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"scenario": "advanced_struggling",
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"state_summary": {
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"progress": 0.7,
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"confusion_signals": 4.5,
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"gesture_signals": 8.0
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},
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"prediction": "how_overfitting_works",
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"confidence": 0.85
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},
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{
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"scenario": "quick_learner",
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"state_summary": {
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"progress": 0.9,
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"confusion_signals": 0.5,
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"gesture_signals": 3.0
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},
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"prediction": "explain_softmax",
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"confidence": 0.45
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}
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],
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"limitations": [
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"Trained on 200 synthetic samples",
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"Limited real-world behavioral data",
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"No hyperparameter tuning performed",
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"Requires MediaPipe for gesture recognition"
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],
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"recommended_next_steps": [
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"Collect real learning session data",
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"Increase training samples to 10000+",
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"Add hyperparameter optimization",
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"Implement online learning"
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]
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}
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