espnet/

OpenBEATS-Base-i2-fsd50k

config: /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/earbasei2/conf/ear_base/fsd50k.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/fsd50k/cls_earbasei2
ngpu: 0
seed: 0
num_workers: 8
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: 105
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - epoch_mAP
    - max
keep_nbest_models: 5
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: fsd50k.earbasei2
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: 3000000
valid_batch_bins: null
category_sample_size: 10
train_shape_file:
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/fsd50k/cls_stats_16k/train/speech_shape
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/fsd50k/cls_stats_16k/train/label_shape
valid_shape_file:
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/fsd50k/cls_stats_16k/valid/speech_shape
- /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/exp/fsd50k/cls_stats_16k/valid/label_shape
batch_type: numel
valid_batch_type: null
fold_length:
- 160000
- 200
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/fsd50k/train/wav.scp
    - speech
    - sound
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/fsd50k/train/text
    - label
    - text
valid_data_path_and_name_and_type:
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/fsd50k/val/wav.scp
    - speech
    - sound
-   - /work/nvme/bbjs/sbharadwaj/espnet/egs2/audioverse/v1/dump/fsd50k/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: 105
    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/fsd50k/cls_earbasei2
token_list:
- Music
- Musical_instrument
- Domestic_sounds_and_home_sounds
- Human_voice
- Animal
- Percussion
- Wind_instrument_and_woodwind_instrument
- Vehicle
- Bowed_string_instrument
- Plucked_string_instrument
- Guitar
- Wild_animals
- Speech
- Keyboard_(musical)
- Water
- Motor_vehicle_(road)
- Alarm
- Bird
- Drum
- Liquid
- Explosion
- Mechanisms
- Domestic_animals_and_pets
- Door
- Laughter
- Brass_instrument
- Glass
- Engine
- Respiratory_sounds
- Tools
- Bell
- Piano
- Dog
- Human_group_actions
- Snare_drum
- Car
- Cymbal
- Rail_transport
- Trumpet
- Telephone
- Hands
- Singing
- Fart
- Acoustic_guitar
- Bird_vocalization_and_bird_call_and_bird_song
- Rain
- Livestock_and_farm_animals_and_working_animals
- Electric_guitar
- Breathing
- Thunderstorm
- Thunder
- Hi-hat
- Coin_(dropping)
- Fire
- Bark
- Shatter
- Female_speech_and_woman_speaking
- Fireworks
- Insect
- Male_speech_and_man_speaking
- Squeak
- Applause
- Clapping
- Walk_and_footsteps
- Splash_and_splatter
- Slam
- Gunshot_and_gunfire
- Drum_kit
- Train
- Dishes_and_pots_and_pans
- Bass_guitar
- Organ
- Wood
- Cat
- Subway_and_metro_and_underground
- Thump_and_thud
- Typing
- Camera
- Mallet_percussion
- Wind
- Zipper_(clothing)
- Sink_(filling_or_washing)
- Water_tap_and_faucet
- Cough
- Clock
- Crowd
- Tearing
- Whoosh_and_swoosh_and_swish
- Knock
- Cutlery_and_silverware
- Rattle_(instrument)
- Writing
- Screaming
- Chink_and_clink
- Ocean
- Run
- Tap
- Fowl
- Scratching_(performance_technique)
- Drip
- Bicycle
- Tambourine
- Burping_and_eructation
- Crackle
- Shout
- Bass_drum
- Bus
- Stream
- Crash_cymbal
- Cheering
- Toilet_flush
- Gong
- Crumpling_and_crinkling
- Aircraft
- Sliding_door
- Chirp_and_tweet
- Crushing
- Strum
- Chime
- Chewing_and_mastication
- Marimba_and_xylophone
- Harp
- Cricket
- Cowbell
- Meow
- Motorcycle
- Keys_jangling
- Whispering
- Power_tool
- Waves_and_surf
- Boom
- Drill
- Hammer
- Harmonica
- Accelerating_and_revving_and_vroom
- Hiss
- Child_speech_and_kid_speaking
- Rattle
- Drawer_open_or_close
- Bathtub_(filling_or_washing)
- Trickle_and_dribble
- Pour
- Microwave_oven
- Traffic_noise_and_roadway_noise
- Engine_starting
- Yell
- Chicken_and_rooster
- Female_singing
- Finger_snapping
- Computer_keyboard
- Car_passing_by
- Gurgling
- Raindrop
- Crack
- Sawing
- Vehicle_horn_and_car_horn_and_honking
- Truck
- Crying_and_sobbing
- Idling
- Doorbell
- Scissors
- Boat_and_Water_vehicle
- Fixed-wing_aircraft_and_airplane
- Giggle
- Printer
- Cupboard_open_or_close
- Tick-tock
- Ringtone
- Fill_(with_liquid)
- Skateboard
- Male_singing
- Screech
- Church_bell
- Buzz
- Siren
- Crow
- Sigh
- Race_car_and_auto_racing
- Growling
- Frog
- Gull_and_seagull
- Packing_tape_and_duct_tape
- Bicycle_bell
- Frying_(food)
- Chatter
- Boiling
- Wind_chime
- Sneeze
- Mechanical_fan
- Purr
- Speech_synthesizer
- Conversation
- Ratchet_and_pawl
- Gasp
- Chuckle_and_chortle
- Glockenspiel
- Accordion
- Tabla
- Typewriter
- Tick
- <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_base/beats_iter1_base.tune_lr5e-4_warmup40000_bins1600000_totalsteps400000/epoch59.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: 0.2
    lsm_weight: 0.0
    log_epoch_metrics: true
user_callbacks:
- mAP_logging
required:
- output_dir
- token_list
task: cls