carlosdanielhernandezmena commited on
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Uploading stt_mt_quartznet15x5_sp_ep255_64h and YAML file.

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.gitattributes CHANGED
@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ stt_mt_quartznet15x5_sp_ep255_64h.nemo filter=lfs diff=lfs merge=lfs -text
QuartzNet_FT15x5_Maltese.yaml ADDED
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+ name: &name "QuartzNet15x5"
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+
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+ model:
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+ sample_rate: &sample_rate 16000
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+ repeat: &repeat 5
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+ dropout: &dropout 0.0
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+ separable: &separable true
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+ labels: &labels [" ", "'", "-", "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z", "à", "á", "è", "é", "ì", "í", "ò", "ó", "ù", "ú", "ċ", "ġ", "ħ", "ż"]
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+
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+ train_ds:
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+ manifest_filepath: ???
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+ sample_rate: 16000
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+ labels: *labels
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+ batch_size: 16
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+ trim_silence: True
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+ max_duration: 16.7
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+ shuffle: True
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+ num_workers: 8
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+ pin_memory: true
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+ # tarred datasets
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+ is_tarred: false
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+ tarred_audio_filepaths: null
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+ shuffle_n: 2048
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+ # bucketing params
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+ bucketing_strategy: "synced_randomized"
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+ bucketing_batch_size: null
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+
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+ validation_ds:
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+ manifest_filepath: ???
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+ sample_rate: 16000
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+ labels: *labels
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+ batch_size: 16
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+ shuffle: False
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+ num_workers: 8
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+ pin_memory: true
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+
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+ preprocessor:
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+ _target_: nemo.collections.asr.modules.AudioToMelSpectrogramPreprocessor
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+ normalize: "per_feature"
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+ window_size: 0.02
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+ sample_rate: *sample_rate
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+ window_stride: 0.01
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+ window: "hann"
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+ features: &n_mels 64
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+ n_fft: 512
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+ frame_splicing: 1
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+ dither: 1.0e-05
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+
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+ spec_augment:
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+ _target_: nemo.collections.asr.modules.SpectrogramAugmentation
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+ rect_freq: 50
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+ rect_masks: 5
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+ rect_time: 120
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+
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+ encoder:
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+ _target_: nemo.collections.asr.modules.ConvASREncoder
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+ feat_in: *n_mels
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+ activation: relu
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+ conv_mask: true
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+
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+ jasper:
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+ #1
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 256
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+ kernel: [33]
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+ repeat: 1
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+ residual: false
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+ separable: *separable
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+ stride: [2]
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+ #2
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 256
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+ kernel: [33]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #3
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 256
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+ kernel: [33]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #4
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 256
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+ kernel: [33]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #5
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 256
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+ kernel: [39]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #6
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 256
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+ kernel: [39]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #7
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 256
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+ kernel: [39]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #8
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [51]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #9
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [51]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #10
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [51]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #11
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [63]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #12
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [63]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #13
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [63]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #14
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [75]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #15
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [75]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #16
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [75]
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+ repeat: *repeat
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+ residual: true
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+ separable: *separable
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+ stride: [1]
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+ #17
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+ - dilation: [2]
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+ dropout: *dropout
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+ filters: 512
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+ kernel: [87]
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+ repeat: 1
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+ residual: false
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+ separable: *separable
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+ stride: [1]
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+ #18
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+ - dilation: [1]
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+ dropout: *dropout
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+ filters: &enc_filters 1024
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+ kernel: [1]
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+ repeat: 1
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+ residual: false
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+ stride: [1]
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+
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+ decoder:
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+ _target_: nemo.collections.asr.modules.ConvASRDecoder
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+ feat_in: *enc_filters
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+ num_classes: 43
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+ vocabulary: *labels
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+
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+ optim:
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+ name: novograd
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+ # _target_: nemo.core.optim.optimizers.Novograd
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+ lr: 0.0012
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+ # optimizer arguments
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+ betas: [0.95, 0.25]
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+ weight_decay: 0.001
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+
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+ # scheduler setup
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+ sched:
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+ name: CosineAnnealing
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+
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+ # pytorch lightning args
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+ # monitor: val_loss
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+ # reduce_on_plateau: false
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+
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+ # Scheduler params
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+ warmup_steps: null
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+ warmup_ratio: null
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+ min_lr: 0.0
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+ last_epoch: -1
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+
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+ trainer:
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+ devices: 1 # number of gpus
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+ max_epochs: 5
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+ max_steps: -1 # computed at runtime if not set
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+ num_nodes: 1
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+ accelerator: gpu
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+ strategy: ddp
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+ accumulate_grad_batches: 1
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+ enable_checkpointing: False # Provided by exp_manager
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+ logger: False # Provided by exp_manager
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+ log_every_n_steps: 1 # Interval of logging.
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+ val_check_interval: 1.0 # Set to 0.25 to check 4 times per epoch, or an int for number of iterations
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+ benchmark: false # needs to be false for models with variable-length speech input as it slows down training
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+
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+ exp_manager:
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+ exp_dir: null
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+ name: *name
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+ create_tensorboard_logger: True
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+ create_checkpoint_callback: True
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+ checkpoint_callback_params:
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+ monitor: "val_wer"
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+ mode: "min"
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+ create_wandb_logger: False
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+ wandb_logger_kwargs:
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+ name: null
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+ project: null
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+
stt_mt_quartznet15x5_sp_ep255_64h.nemo ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:b720f33bb450a15a40d3dec76adc06bc97344b95f3b4df9357623fe22233e1c4
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+ size 76380160