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clockwork-rnn-pocket
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{
  "experiment": "Modern Clockwork RNN multiscale forecasting retest",
  "training_length": 64,
  "results": {
    "clockwork_rnn": {
      "parameters": 1153,
      "training": {
        "best_step": 2000,
        "best_validation_rmse": 0.06328721344470978
      },
      "length_64": {
        "rmse": 0.06292866170406342,
        "mae": 0.048201143741607666,
        "length": 64,
        "examples": 2000
      },
      "length_256_zero_shot": {
        "rmse": 0.057015709578990936,
        "mae": 0.04491663724184036,
        "length": 256,
        "examples": 2000
      }
    },
    "plain_rnn": {
      "parameters": 1153,
      "training": {
        "best_step": 2000,
        "best_validation_rmse": 0.05851877108216286
      },
      "length_64": {
        "rmse": 0.05799157917499542,
        "mae": 0.04319232329726219,
        "length": 64,
        "examples": 2000
      },
      "length_256_zero_shot": {
        "rmse": 0.0492224358022213,
        "mae": 0.038259126245975494,
        "length": 256,
        "examples": 2000
      }
    },
    "matched_gru": {
      "parameters": 1153,
      "training": {
        "best_step": 2000,
        "best_validation_rmse": 0.05385412648320198
      },
      "length_64": {
        "rmse": 0.053206734359264374,
        "mae": 0.03960574418306351,
        "length": 64,
        "examples": 2000
      },
      "length_256_zero_shot": {
        "rmse": 0.04662298038601875,
        "mae": 0.03624221682548523,
        "length": 256,
        "examples": 2000
      }
    }
  }
}