espnet / OpenBEATS-Large-i2-as20k

config: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/earlarge2/conf/ear_large/audioset20k.yaml
print_config: false
log_level: INFO
drop_last_iter: false
dry_run: false
iterator_type: sequence
valid_iterator_type: null
output_dir: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset20k/cls_earlarge2
ngpu: 0
seed: 0
num_workers: 2
num_att_plot: 0
dist_backend: nccl
dist_init_method: env://
dist_world_size: null
dist_rank: null
local_rank: null
dist_master_addr: null
dist_master_port: null
dist_launcher: null
multiprocessing_distributed: false
unused_parameters: true
sharded_ddp: false
use_deepspeed: false
deepspeed_config: null
gradient_as_bucket_view: true
ddp_comm_hook: null
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: true
use_tf32: false
collect_stats: false
write_collected_feats: false
max_epoch: 160
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - epoch_mAP
    - max
keep_nbest_models: 1
nbest_averaging_interval: 0
grad_clip: 1
grad_clip_type: 2.0
grad_noise: false
accum_grad: 1
no_forward_run: false
resume: true
train_dtype: float32
use_amp: false
log_interval: null
use_matplotlib: true
use_tensorboard: true
create_graph_in_tensorboard: false
use_wandb: true
wandb_project: audioverse
wandb_id: null
wandb_entity: shikhar
wandb_name: audioset20k.earlarge2
wandb_model_log_interval: -1
detect_anomaly: false
use_adapter: false
adapter: lora
save_strategy: all
adapter_conf: {}
pretrain_path: null
init_param: []
ignore_init_mismatch: false
freeze_param: []
num_iters_per_epoch: null
batch_size: 80
valid_batch_size: 32
batch_bins: 1000000
valid_batch_bins: null
category_sample_size: 10
train_shape_file:
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset20k/cls_stats_16k/train/speech_shape
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset20k/cls_stats_16k/train/label_shape
valid_shape_file:
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset20k/cls_stats_16k/valid/speech_shape
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset20k/cls_stats_16k/valid/label_shape
batch_type: folded
valid_batch_type: null
fold_length:
- 160000
- 600
sort_in_batch: descending
shuffle_within_batch: false
sort_batch: descending
multiple_iterator: false
utt2weight_file: null
chunk_length: 500
chunk_shift_ratio: 0.5
num_cache_chunks: 1024
chunk_excluded_key_prefixes: []
chunk_default_fs: null
chunk_max_abs_length: null
chunk_discard_short_samples: true
train_data_path_and_name_and_type:
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/audioset20k/train/wav.scp
    - speech
    - sound
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/audioset20k/train/text
    - label
    - text
valid_data_path_and_name_and_type:
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/audioset20k/val/wav.scp
    - speech
    - sound
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/audioset20k/val/text
    - label
    - text
multi_task_dataset: false
allow_variable_data_keys: false
max_cache_size: 0.0
max_cache_fd: 32
allow_multi_rates: false
valid_max_cache_size: null
exclude_weight_decay: false
exclude_weight_decay_conf: {}
optim: adamw
optim_conf:
    lr: 3.0e-05
    weight_decay: 0.01
    betas:
    - 0.9
    - 0.98
scheduler: cosineannealingwarmuprestarts
scheduler_conf:
    first_cycle_steps: 95000
    warmup_steps: 8000
    max_lr: 3.0e-05
    min_lr: 5.0e-06
lightning_conf:
    log_every_n_steps: 250
    max_epochs: 218
    strategy: ddp
    strategy_conf:
        find_unused_parameters: true
    best_model_criterion:
    -   - valid/epoch_mAP
        - max
        - 1
    devices: 1
    num_nodes: 1
    default_root_dir: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset20k/cls_earlarge2
token_list:
- Music
- Speech
- Vehicle
- Inside,_small_room
- Animal
- Musical_instrument
- Singing
- Domestic_animals,_pets
- Guitar
- Plucked_string_instrument
- Water
- Car
- Dog
- Percussion
- Wind_instrument,_woodwind_instrument
- Outside,_urban_or_manmade
- Outside,_rural_or_natural
- Boat,_Water_vehicle
- Brass_instrument
- Fowl
- Drum
- Siren
- Engine
- Bird
- Insect
- Gunshot,_gunfire
- Wood
- Rail_transport
- Train
- Wind
- Inside,_large_room_or_hall
- Railroad_car,_train_wagon
- Child_speech,_kid_speaking
- Crowd
- Rub
- Keyboard_(musical)
- Wind_noise_(microphone)
- Pizzicato
- Emergency_vehicle
- Bird_vocalization,_bird_call,_bird_song
- Livestock,_farm_animals,_working_animals
- Cat
- Organ
- Fly,_housefly
- Mechanisms
- Bowed_string_instrument
- Rain
- Laughter
- Aircraft
- Electronic_music
- Effects_unit
- Hum
- Tools
- Drum_kit
- Snare_drum
- Hiss
- Piano
- Water_tap,_faucet
- Rimshot
- Bass_drum
- Chicken,_rooster
- Marimba,_xylophone
- Horse
- Song
- Quack
- Power_tool
- Heart_sounds,_heartbeat
- Goose
- Hammond_organ
- Rock_music
- Ocean
- Mains_hum
- Thunder
- Chime
- Electronic_dance_music
- Typing
- Sink_(filling_or_washing)
- Raindrop
- Cello
- Electric_guitar
- Cheering
- Church_bell
- Christian_music
- Drum_roll
- Trombone
- Glockenspiel
- Trumpet
- Cymbal
- Tabla
- Clickety-clack
- Cricket
- Steam_whistle
- Explosion
- Saxophone
- Thunderstorm
- Pop_music
- Zither
- Applause
- Choir
- Whack,_thwack
- Clarinet
- Camera
- Electric_piano
- Independent_music
- Fire
- Frog
- Jet_engine
- Music_of_Asia
- Ding
- Waves,_surf
- Cattle,_bovinae
- Turkey
- Television
- Coo
- Scratching_(performance_technique)
- Flute
- Liquid
- Harp
- Progressive_rock
- Happy_music
- Steel_guitar,_slide_guitar
- Whoosh,_swoosh,_swish
- Boom
- Breathing
- Electronic_organ
- Environmental_noise
- Distortion
- Alarm_clock
- Fixed-wing_aircraft,_airplane
- Violin,_fiddle
- Whistling
- Accordion
- Disco
- Pump_(liquid)
- Waterfall
- Beep,_bleep
- Blues
- Grunge
- Hip_hop_music
- Whistle
- Fusillade
- Splash,_splatter
- Gush
- Toothbrush
- Knock
- Gargling
- Snoring
- Hammer
- Gobble
- Walk,_footsteps
- Jackhammer
- Filing_(rasp)
- Snort
- Narration,_monologue
- Tire_squeal
- Fire_alarm
- Squeal
- Meow
- Caterwaul
- Cutlery,_silverware
- Mantra
- Opera
- Classical_music
- Theremin
- Burst,_pop
- Drip
- Tick
- Children_shouting
- Creak
- Hiccup
- Pigeon,_dove
- Bicycle_bell
- Baby_cry,_infant_cry
- Duck
- Fireworks
- Tambourine
- Rodents,_rats,_mice
- Buzzer
- Splinter
- Writing
- Goat
- Sheep
- Heavy_metal
- Ska
- Neigh,_whinny
- Sizzle
- Rowboat,_canoe,_kayak
- Wood_block
- Clang
- Door
- Female_singing
- Stream
- Chant
- Vocal_music
- Yodeling
- Bee,_wasp,_etc.
- Air_brake
- Whir
- Bird_flight,_flapping_wings
- French_horn
- Telephone_dialing,_DTMF
- Squeak
- Sitar
- Smoke_detector,_smoke_alarm
- Tick-tock
- Gurgling
- Bellow
- Harmonic
- Male_singing
- Giggle
- Bark
- Vibration
- Drill
- Skidding
- Scratch
- Drawer_open_or_close
- Chop
- Drum_machine
- Squish
- Toilet_flush
- Fart
- Basketball_bounce
- Electronic_tuner
- Singing_bowl
- Squawk
- Conversation
- Reggae
- Funny_music
- Scrape
- Sewing_machine
- Tender_music
- Swing_music
- Dishes,_pots,_and_pans
- Sampler
- Synthesizer
- Clapping
- Hubbub,_speech_noise,_speech_babble
- Engine_knocking
- Canidae,_dogs,_wolves
- Chainsaw
- Pour
- Croak
- Chewing,_mastication
- Cowbell
- Propeller,_airscrew
- Didgeridoo
- Ringtone
- Rattle_(instrument)
- Artillery_fire
- Cash_register
- Crack
- Growling
- Mosquito
- Carnatic_music
- Honk
- Howl
- Cacophony
- Gospel_music
- Firecracker
- Strum
- Motorboat,_speedboat
- Clock
- Dance_music
- Microwave_oven
- Country
- Bluegrass
- Rattle
- Mallet_percussion
- Computer_keyboard
- Bass_guitar
- Electric_shaver,_electric_razor
- Sawing
- Owl
- Whip
- White_noise
- Chirp_tone
- Boiling
- Ship
- Mouse
- Breaking
- Silence
- Throat_clearing
- Bleat
- Salsa_music
- Patter
- Vibraphone
- Flap
- Typewriter
- Change_ringing_(campanology)
- Trickle,_dribble
- Video_game_music
- Glass
- Dial_tone
- Radio
- Bell
- Moo
- Heart_murmur
- Clatter
- Sniff
- Double_bass
- Background_music
- Lawn_mower
- Printer
- House_music
- Tearing
- Angry_music
- Male_speech,_man_speaking
- Wild_animals
- Cupboard_open_or_close
- Harpsichord
- Light_engine_(high_frequency)
- Child_singing
- Zipper_(clothing)
- Jazz
- Belly_laugh
- Roar
- Motor_vehicle_(road)
- Crowing,_cock-a-doodle-doo
- Cluck
- Sad_music
- Hi-hat
- Cough
- Stomach_rumble
- Alarm
- String_section
- Sonar
- Keys_jangling
- Synthetic_singing
- Rapping
- Sidetone
- Orchestra
- Throbbing
- Whale_vocalization
- Thunk
- Children_playing
- Snake
- Chink,_clink
- Chirp,_tweet
- Boing
- Shuffle
- Pulse
- Punk_rock
- Crow
- Caw
- Static
- Clicking
- Snicker
- Whispering
- Pink_noise
- Crushing
- Wedding_music
- Crumpling,_crinkling
- Crackle
- Whoop
- Electric_toothbrush
- Train_wheels_squealing
- Yell
- Wind_chime
- Frying_(food)
- Christmas_music
- Fill_(with_liquid)
- Reverberation
- Beatboxing
- Harmonica
- Banjo
- Sliding_door
- Groan
- Bagpipes
- Spray
- Stir
- Acoustic_guitar
- Tap
- Chorus_effect
- Noise
- Crunch
- Biting
- Aircraft_engine
- Busy_signal
- Bang
- Techno
- Tuning_fork
- Tapping_(guitar_technique)
- Pig
- Maraca
- Vacuum_cleaner
- Mandolin
- Electronica
- Theme_music
- Yip
- A_capella
- Rustle
- Chatter
- Traditional_music
- Soul_music
- Rustling_leaves
- Afrobeat
- Hoot
- Slosh
- Roaring_cats_(lions,_tigers)
- Chopping_(food)
- Heavy_engine_(low_frequency)
- Sine_wave
- Speech_synthesizer
- Middle_Eastern_music
- Music_of_Latin_America
- Arrow
- Timpani
- Eruption
- Shofar
- Jingle_bell
- Humming
- Sanding
- Female_speech,_woman_speaking
- Gong
- Rain_on_surface
- Pant
- Dubstep
- Clip-clop
- Finger_snapping
- Blender
- Drum_and_bass
- Bouncing
- Vehicle_horn,_car_horn,_honking
- Slam
- Idling
- Rhythm_and_blues
- Race_car,_auto_racing
- Single-lens_reflex_camera
- Smash,_crash
- Purr
- Shatter
- Steelpan
- Whimper_(dog)
- Power_windows,_electric_windows
- Battle_cry
- Scary_music
- Hands
- Echo
- Truck
- Buzz
- Mechanical_fan
- Plop
- Run
- Gasp
- Psychedelic_rock
- Grunt
- Helicopter
- Dental_drill,_dentist's_drill
- Babbling
- Zing
- Oink
- Soundtrack_music
- Ambulance_(siren)
- Exciting_music
- Telephone
- Jingle_(music)
- Tubular_bells
- Burping,_eructation
- Baby_laughter
- Ping
- Bow-wow
- Foghorn
- Machine_gun
- Ukulele
- Telephone_bell_ringing
- Pulleys
- Gears
- Sigh
- Coin_(dropping)
- Music_of_Africa
- Scissors
- Inside,_public_space
- Trance_music
- Roll
- Thump,_thud
- Air_conditioning
- Ding-dong
- Ratchet,_pawl
- Hair_dryer
- Shout
- Ambient_music
- Music_for_children
- Toot
- Bathtub_(filling_or_washing)
- Slap,_smack
- Chuckle,_chortle
- Traffic_noise,_roadway_noise
- Bicycle
- Whimper
- Doorbell
- Wheeze
- Sailboat,_sailing_ship
- Cap_gun
- Wail,_moan
- Rock_and_roll
- Jingle,_tinkle
- Fire_engine,_fire_truck_(siren)
- Funk
- Lullaby
- Field_recording
- Skateboard
- Steam
- Rumble
- Medium_engine_(mid_frequency)
- Sound_effect
- Flamenco
- Shuffling_cards
- Subway,_metro,_underground
- Police_car_(siren)
- Folk_music
- Crying,_sobbing
- New-age_music
- Ice_cream_truck,_ice_cream_van
- Music_of_Bollywood
- Accelerating,_revving,_vroom
- Screaming
- Motorcycle
- Engine_starting
- Train_whistle
- Car_passing_by
- Bus
- Sneeze
- Train_horn
- Air_horn,_truck_horn
- Civil_defense_siren
- Car_alarm
- Reversing_beeps
- <blank>
- <unk>
text_token_list: null
text_bpemodel: null
init: xavier_normal
input_size: 1
use_preprocessor: true
frontend: null
frontend_conf: {}
specaug: null
specaug_conf: {}
normalize: null
normalize_conf: {}
preencoder: null
preencoder_conf: {}
encoder: beats
encoder_conf:
    beats_ckpt_path: /work/nvme/bbjs/sbharadwaj/7Msounds/exp/beats_iter1_large1.tune_lr1.0e-4_warmup40000_bins1600000_totalsteps400000/epoch_latest.pt
    beats_config:
        layer_wise_gradient_decay_ratio: 0.3
        encoder_layerdrop: 0.1
        dropout: 0.0
    use_weighted_representation: false
    specaug_config:
        apply_time_warp: true
        apply_freq_mask: false
        apply_time_mask: true
        time_mask_width_ratio_range:
        - 0
        - 0.06
        num_time_mask: 1
    roll_augment: true
    roll_interval: 1
text_encoder: null
text_encoder_conf: {}
embedding_fusion: null
embedding_fusion_conf: {}
decoder: linear
decoder_conf: {}
model: espnet
model_conf:
    classification_type: multi-label
    mixup_probability: 0.8
    lsm_weight: 0.0
    log_epoch_metrics: true
user_callbacks:
- mAP_logging
required:
- output_dir
- token_list
task: cls