Create config.gin
Browse files- config.gin +57 -0
config.gin
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NUM_ENCODEC_TARGETS=8
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NUM_TOTAL_TARGETS=8
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NUM_TARGET_TOKENS=1024
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MASK_AMOUNT=150
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MASK_GAP_SIZE=15
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MASK_PROP=0.5
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MODEL_DIM=768
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NUM_ENCODER_LAYERS=10
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NUM_ENCODER_HEADS=12
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NUM_DECODER_LAYERS=2
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NUM_DECODER_HEADS=12
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MASKED_LOSS_WEIGHT=0.9
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models.EncodecMAE:
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wav_encoder = @models.encodecmae.encoders.EncodecEncoder
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target_encoder = @models.encodecmae.targets.EncodecQuantizer
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masker = @models.encodecmae.masking.TimeGapMask
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visible_encoder = @encoder/models.transformers.TransformerEncoder
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positional_encoder = @models.transformers.SinusoidalPositionalEmbeddings
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decoder = @decoder/models.transformers.TransformerEncoder
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head = @models.encodecmae.heads.FrameLevelClassificationHead
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lr_scheduler=None
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masked_weight=%MASKED_LOSS_WEIGHT
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quantizer_weights=[0.22407463, 0.1759858 , 0.14499009, 0.12150037, 0.10315603, 0.08831368, 0.07608274, 0.06589669, 1.0]
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n_extra_targets=1
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torch.optim.AdamW:
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lr=%PRETRAIN_MAX_LR
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betas=(0.9,0.95)
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weight_decay=0.05
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models.encodecmae.targets.EncodecQuantizer:
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n = %NUM_ENCODEC_TARGETS
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models.encodecmae.masking.TimeGapMask:
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mask_amount = %MASK_AMOUNT
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gap_size = %MASK_GAP_SIZE
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mask_prop = %MASK_PROP
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encoder/models.transformers.TransformerEncoder:
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model_dim=%MODEL_DIM
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num_layers=%NUM_ENCODER_LAYERS
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attention_layer=@encoder/models.transformers.MultiHeadAttention
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compile=True
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encoder/models.transformers.MultiHeadAttention:
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model_dim=%MODEL_DIM
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num_heads=%NUM_ENCODER_HEADS
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decoder/models.transformers.TransformerEncoder:
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model_dim=%MODEL_DIM
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num_layers=%NUM_DECODER_LAYERS
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attention_layer=@decoder/models.transformers.MultiHeadAttention
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compile=True
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decoder/models.transformers.MultiHeadAttention:
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model_dim=%MODEL_DIM
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num_heads=%NUM_DECODER_HEADS
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models.transformers.SinusoidalPositionalEmbeddings.embedding_dim = %MODEL_DIM
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models.encodecmae.heads.FrameLevelClassificationHead:
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model_dim=%MODEL_DIM
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num_tokens=%NUM_TARGET_TOKENS
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num_streams=%NUM_TOTAL_TARGETS
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