config: conf/beats_dogs.yaml
print_config: false
log_level: INFO
drop_last_iter: false
dry_run: false
iterator_type: sequence
valid_iterator_type: null
output_dir: /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123
ngpu: 1
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: 0
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
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: true
use_tf32: false
collect_stats: false
write_collected_feats: false
max_epoch: 250
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - acc
    - 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: false
wandb_project: null
wandb_id: null
wandb_entity: null
wandb_name: null
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: 32
valid_batch_size: 32
batch_bins: 1000000
valid_batch_bins: null
category_sample_size: 10
train_shape_file:
- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/speech_shape
- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/label_shape
valid_shape_file:
- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/speech_shape
- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/label_shape
batch_type: folded
valid_batch_type: null
fold_length:
- 160000
- 5
sort_in_batch: descending
shuffle_within_batch: false
sort_batch: descending
multiple_iterator: false
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:
-   - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/wav.scp
    - speech
    - sound
-   - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/text
    - label
    - text
valid_data_path_and_name_and_type:
-   - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/wav.scp
    - speech
    - sound
-   - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/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
token_list:
- Roodie
- Luke
- Mac
- Zoe
- Siggy
- Farley
- Freid
- Keri
- Rudy
- Louie
- <unk>
token_type: word
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: /compute/babel-13-33/sbharad2/models/BEATs/BEATs_iter3.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
decoder: linear
decoder_conf: {}
model: espnet
model_conf:
    classification_type: multi-class
    mixup_augmentation: false
    lsm_weight: 0.1
required:
- output_dir
- token_list
version: '202412'
distributed: false