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@@ -11,6 +11,12 @@ datasets:
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  - doe2vec-d2-m8-ls24-VAE-kl0.001
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  metrics:
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  - mse
 
 
 
 
 
 
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  ---
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  ## Model description
@@ -52,9 +58,3 @@ The representations can then be used for downstream tasks such as automatic opti
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  The model is trained using a weighed KL loss and mean squared error reconstruction loss.
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  The model is trained using 250.000 randomly generated functions (see the dataset) over 100 epochs.
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- co2_eq_emissions:
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- emissions: 0.0363
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- source: "code carbon"
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- training_type: "pre-training"
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- geographical_location: "Leiden, The Netherlands"
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- hardware_used: "1 Tesla T4"
 
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  - doe2vec-d2-m8-ls24-VAE-kl0.001
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  metrics:
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  - mse
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+ co2_eq_emissions:
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+ emissions: 0.0363
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+ source: "code carbon"
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+ training_type: "pre-training"
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+ geographical_location: "Leiden, The Netherlands"
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+ hardware_used: "1 Tesla T4"
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  ---
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  ## Model description
 
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  The model is trained using a weighed KL loss and mean squared error reconstruction loss.
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  The model is trained using 250.000 randomly generated functions (see the dataset) over 100 epochs.
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