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Merge branch 'main' into navcode_fix
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.github/workflows/release.yml

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#::= from_template_common ::#
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model: bert-base-uncased
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model_dir: /tmp/model
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tokenizer_dir: /tmp/tokenizer
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num_classes: 1
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drop_out: .3
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n_fc: 768
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weight_decay: 0.01
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num_warmup_epochs: 0
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max_length: 256
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model: bert-base-uncased # model for text classification
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model_dir: /tmp/model # path of model directory
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tokenizer_dir: /tmp/tokenizer # path of directory containing tokenizer
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num_classes: 1 # number of classes
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drop_out: .3 # drop out rate
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n_fc: 768 # number of fully-connected layers
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weight_decay: 0.01 # parameter for weight decay, default, 1e-4.
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num_warmup_epochs: 0 # number of warm-up epochs before learning rate decay
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max_length: 256 # maximum length of texts
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lr: 0.00005
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#::= from_template_common ::#
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lr: 0.0001
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model: resnet18
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lr: 0.0001 # learning rate
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model: resnet18 # model name
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#::= from_template_common ::#
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lr: 0.0001
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z_dim: 100
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d_filters: 64
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g_filters: 64
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lr: 0.0001 # learning rate
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z_dim: 100 # input dimension
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d_filters: 64 # number of filters in the first conv layer of discriminator
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g_filters: 64 # number of filters in the first conv layer of generator
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#::= from_template_common ::#
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lr: 0.007
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accumulation_steps: 4
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num_classes: 21
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lr: 0.007 # learning rate
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accumulation_steps: 4 # parameter for gradient accumulation
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num_classes: 21 # number of classes for segmentation

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