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defaults: | |
- _self_ | |
- model/backbone: imgcnn | |
- model/encoder: transformer | |
- model/decoder: transformer | |
nhead: 4 | |
ff_ratio: 2 | |
activation: relu | |
norm_first: false | |
d_model: 512 | |
dropout: 0.5 | |
backbone_downsampling_factor: 16 | |
model: | |
_target_: src.model.EncoderDecoder | |
vocab_size: -1 | |
d_model: ${model.d_model} | |
padding_idx: -1 | |
max_seq_len: ${trainer.max_seq_len} | |
dropout: ${model.dropout} | |
norm_layer: | |
_partial_: true | |
_target_: torch.nn.LayerNorm | |
eps: 1e-6 | |