espnet/

OpenBEATS-Large-i1-as2m

config: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/earlarge1.final/conf/ear_large/audioset2m.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/audioset2m/cls_earlarge1.final
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: 25
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: 2
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: audioset2m.earlarge1.final
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: 20
valid_batch_size: null
batch_bins: 20000000
valid_batch_bins: null
category_sample_size: 10
train_shape_file:
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset2m/cls_stats_16k/train/speech_shape
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset2m/cls_stats_16k/train/label_shape
valid_shape_file:
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset2m/cls_stats_16k/valid/speech_shape
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset2m/cls_stats_16k/valid/label_shape
batch_type: length_weighted
valid_batch_type: length
fold_length:
- 160000
- 600
sort_in_batch: descending
shuffle_within_batch: false
sort_batch: descending
multiple_iterator: false
utt2weight_file: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/data/audioset2m/utt2weight
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/audioset2m/train/wav.scp
    - speech
    - sound
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/audioset2m/train/text
    - label
    - text
valid_data_path_and_name_and_type:
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/audioset2m/eval/wav.scp
    - speech
    - sound
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/audioset2m/eval/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: 0.0001
    weight_decay: 0.01
    betas:
    - 0.9
    - 0.98
scheduler: cosineannealingwarmuprestarts
scheduler_conf:
    first_cycle_steps: 400000
    warmup_steps: 10000
    max_lr: 0.0001
    min_lr: 5.0e-06
lightning_conf:
    log_every_n_steps: 250
    max_epochs: 25
    strategy: ddp
    strategy_conf:
        find_unused_parameters: true
    best_model_criterion:
    -   - valid/epoch_mAP
        - max
        - 1
    devices: 4
    num_nodes: 1
    default_root_dir: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/audioset2m/cls_earlarge1.final
token_list:
- Music
- Speech
- Vehicle
- Musical_instrument
- Inside,_small_room
- Guitar
- Plucked_string_instrument
- Singing
- Car
- Animal
- Electronic_music
- Outside,_rural_or_natural
- Outside,_urban_or_manmade
- Violin,_fiddle
- Inside,_large_room_or_hall
- Bird
- Drum
- Domestic_animals,_pets
- Dubstep
- Male_speech,_man_speaking
- Techno
- Percussion
- Engine
- Narration,_monologue
- Drum_kit
- Acoustic_guitar
- Strum
- Dog
- Boat,_Water_vehicle
- Train
- Electric_guitar
- Accelerating,_revving,_vroom
- Piano
- Child_speech,_kid_speaking
- Truck
- Keyboard_(musical)
- Crowd
- Bowed_string_instrument
- Bass_drum
- Rock_and_roll
- Motor_vehicle_(road)
- Pop_music
- Rail_transport
- Pigeon,_dove
- Water
- Female_speech,_woman_speaking
- Orchestra
- Rock_music
- Sound_effect
- Motorboat,_speedboat
- Railroad_car,_train_wagon
- Siren
- Tools
- Female_singing
- Hip_hop_music
- Silence
- Motorcycle
- Male_singing
- Brass_instrument
- Classical_music
- Snare_drum
- Inside,_public_space
- Choir
- Soundtrack_music
- House_music
- Wind
- Race_car,_auto_racing
- Heavy_metal
- Bass_guitar
- Chicken,_rooster
- Wind_noise_(microphone)
- Idling
- Medium_engine_(mid_frequency)
- Bird_vocalization,_bird_call,_bird_song
- Fowl
- Wind_instrument,_woodwind_instrument
- Exciting_music
- Country
- Laughter
- Marimba,_xylophone
- Sampler
- Emergency_vehicle
- Aircraft
- Electronica
- Ukulele
- Cello
- Bus
- Rhythm_and_blues
- Synthesizer
- Background_music
- Jazz
- Mantra
- Dance_music
- Flute
- Blues
- Effects_unit
- Electric_piano
- Cymbal
- Chirp,_tweet
- Rimshot
- Rapping
- Trance_music
- Livestock,_farm_animals,_working_animals
- Run
- Cheering
- Electronic_dance_music
- Theme_music
- Gospel_music
- Heavy_engine_(low_frequency)
- Radio
- Music_of_Latin_America
- Disco
- Glockenspiel
- Tender_music
- Punk_rock
- Funk
- Gunshot,_gunfire
- Hi-hat
- Bow-wow
- Cat
- Music_of_Asia
- Trumpet
- Car_passing_by
- Drum_and_bass
- Vehicle_horn,_car_horn,_honking
- Helicopter
- Vocal_music
- Police_car_(siren)
- Pizzicato
- Progressive_rock
- Tap
- Printer
- Video_game_music
- Music_for_children
- Clip-clop
- Ocean
- Drum_machine
- Rain
- Horse
- Power_tool
- Wood
- Lullaby
- Mallet_percussion
- Reggae
- Fire_engine,_fire_truck_(siren)
- New-age_music
- Christian_music
- Spray
- Saxophone
- Fireworks
- Skateboard
- Independent_music
- Fixed-wing_aircraft,_airplane
- Drum_roll
- Insect
- Bicycle
- Coo
- Tick-tock
- Accordion
- Scratching_(performance_technique)
- Soul_music
- Rain_on_surface
- Stream
- Rowboat,_canoe,_kayak
- Organ
- Ambient_music
- Steel_guitar,_slide_guitar
- Waves,_surf
- Distortion
- Music_of_Africa
- Trombone
- Bluegrass
- Sailboat,_sailing_ship
- Afrobeat
- Sheep
- Child_singing
- Bark
- Duck
- Salsa_music
- Quack
- Door
- Hiss
- Cluck
- Beatboxing
- Music_of_Bollywood
- Banjo
- Vibration
- Water_tap,_faucet
- Baby_cry,_infant_cry
- Mandolin
- Yip
- Flamenco
- Snoring
- Psychedelic_rock
- Opera
- Explosion
- Double_bass
- Burst,_pop
- Toilet_flush
- Conversation
- Applause
- Television
- Harmonica
- Train_horn
- Folk_music
- Wood_block
- Christmas_music
- Clarinet
- Steam
- Typing
- Crowing,_cock-a-doodle-doo
- Bleat
- Basketball_bounce
- Middle_Eastern_music
- Goat
- Roll
- Harp
- Harpsichord
- Computer_keyboard
- Grunge
- Vacuum_cleaner
- Whistling
- Drill
- Clickety-clack
- Meow
- Chatter
- Gurgling
- A_capella
- Civil_defense_siren
- Whoop
- Sewing_machine
- Bee,_wasp,_etc.
- Ambulance_(siren)
- Machine_gun
- Bell
- Honk
- Snicker
- Whimper_(dog)
- Dishes,_pots,_and_pans
- Tapping_(guitar_technique)
- White_noise
- Sad_music
- Thump,_thud
- Chainsaw
- Goose
- Bagpipes
- Oink
- Tick
- Song
- Traditional_music
- Tabla
- Scary_music
- Subway,_metro,_underground
- Rustling_leaves
- Liquid
- Ska
- Chant
- Speech_synthesizer
- Canidae,_dogs,_wolves
- Walk,_footsteps
- Mechanisms
- Chuckle,_chortle
- Traffic_noise,_roadway_noise
- Bathtub_(filling_or_washing)
- Boom
- Carnatic_music
- Fusillade
- Swing_music
- Whispering
- Lawn_mower
- Crumpling,_crinkling
- Frying_(food)
- Beep,_bleep
- Sitar
- Tire_squeal
- Whack,_thwack
- Sink_(filling_or_washing)
- Skidding
- Vibraphone
- Rub
- Waterfall
- Crackle
- Rustle
- Smash,_crash
- Hubbub,_speech_noise,_speech_babble
- Happy_music
- Electronic_tuner
- Crying,_sobbing
- Fire
- Jingle_(music)
- Fly,_housefly
- Hammond_organ
- Whoosh,_swoosh,_swish
- Hum
- Timpani
- Shout
- Clatter
- Trickle,_dribble
- Sizzle
- Electronic_organ
- Burping,_eructation
- Firecracker
- Throbbing
- Telephone
- Thunder
- Echo
- Blender
- Thunderstorm
- Frog
- Whimper
- Didgeridoo
- Environmental_noise
- Snake
- Raindrop
- Fart
- French_horn
- Slosh
- Zither
- Screaming
- Jingle,_tinkle
- Church_bell
- String_section
- Sneeze
- Jingle_bell
- Aircraft_engine
- Funny_music
- Angry_music
- Wild_animals
- Turkey
- Engine_starting
- Rattle
- Arrow
- Ringtone
- Propeller,_airscrew
- Sliding_door
- Heart_sounds,_heartbeat
- Pink_noise
- Steelpan
- Giggle
- Pig
- Buzzer
- Artillery_fire
- Splash,_splatter
- Roar
- Fire_alarm
- Hiccup
- Gobble
- Air_brake
- Chime
- Plop
- Singing_bowl
- Cattle,_bovinae
- Cutlery,_silverware
- Slap,_smack
- Cough
- Ship
- Reverberation
- Babbling
- Cacophony
- Electric_shaver,_electric_razor
- Baby_laughter
- Cricket
- Crow
- Writing
- Glass
- Howl
- Slam
- Belly_laugh
- Mechanical_fan
- Breathing
- Children_playing
- Chewing,_mastication
- Microwave_oven
- Stir
- Wedding_music
- Ping
- Sawing
- Eruption
- Steam_whistle
- Yell
- Clapping
- Alarm
- Chink,_clink
- Growling
- Roaring_cats_(lions,_tigers)
- Drip
- Air_horn,_truck_horn
- Clicking
- Toot
- Ding
- Harmonic
- Jet_engine
- Moo
- Tambourine
- Train_whistle
- Clock
- Children_shouting
- Engine_knocking
- Patter
- Ratchet,_pawl
- Filing_(rasp)
- Groan
- Telephone_bell_ringing
- Change_ringing_(campanology)
- Cap_gun
- Whistle
- Synthetic_singing
- Rodents,_rats,_mice
- Fill_(with_liquid)
- Owl
- Theremin
- Typewriter
- Gears
- Pump_(liquid)
- Caw
- Maraca
- Neigh,_whinny
- Alarm_clock
- Wind_chime
- Shuffle
- Smoke_detector,_smoke_alarm
- Train_wheels_squealing
- Purr
- Static
- Caterwaul
- Snort
- Bellow
- Tubular_bells
- Yodeling
- Keys_jangling
- Battle_cry
- Hammer
- Rumble
- Gong
- Single-lens_reflex_camera
- Flap
- Boing
- Car_alarm
- Ding-dong
- Breaking
- Sine_wave
- Telephone_dialing,_DTMF
- Whip
- Boiling
- Buzz
- Mains_hum
- Chop
- Heart_murmur
- Light_engine_(high_frequency)
- Hands
- Camera
- Humming
- Thunk
- Rattle_(instrument)
- Scrape
- Gush
- Mouse
- Air_conditioning
- Scratch
- Pour
- Coin_(dropping)
- Hair_dryer
- Chorus_effect
- Croak
- Squish
- Dial_tone
- Crunch
- Tearing
- Field_recording
- Cash_register
- Zipper_(clothing)
- Bang
- Shatter
- Biting
- Throat_clearing
- Bird_flight,_flapping_wings
- Noise
- Mosquito
- Reversing_beeps
- Sonar
- Grunt
- Shofar
- Doorbell
- Ice_cream_truck,_ice_cream_van
- Gasp
- Shuffling_cards
- Knock
- Sigh
- Scissors
- Clang
- Cowbell
- Pant
- Electric_toothbrush
- Jackhammer
- Busy_signal
- Drawer_open_or_close
- Whir
- Power_windows,_electric_windows
- Crack
- Whale_vocalization
- Zing
- Stomach_rumble
- Wail,_moan
- Bouncing
- Pulse
- Foghorn
- Bicycle_bell
- Sniff
- Chirp_tone
- Squeak
- Cupboard_open_or_close
- Sanding
- Sidetone
- Wheeze
- Squawk
- Squeal
- Splinter
- Dental_drill,_dentist's_drill
- Finger_snapping
- Chopping_(food)
- Tuning_fork
- Gargling
- Pulleys
- Toothbrush
- Creak
- Crushing
- Hoot
- <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/model_checkpoints/ear_large/beats_iter0_large.tune_lr1.0e-4_warmup40000_bins1600000_totalsteps400000/epoch59.pt
    beats_config:
        layer_wise_gradient_decay_ratio: 0.6
        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: 0.1
    log_epoch_metrics: true
user_callbacks:
- mAP_logging
required:
- output_dir
- token_list
task: cls