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README.md
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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
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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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