espnet / geolid_combined_shared_trainable

config: /work/nvme/bbjs/qwang20/espnet/egs2/lid_delta/lid1/conf/mms_1b_all_no_filter_balanced_dataset/mms_ecapa_upcon_32_44_it0.4_sharedCondProj_butUpdate_50k_lr1e-5_datasetup0.3_backup_33epoch.yaml
print_config: false
log_level: INFO
drop_last_iter: false
dry_run: false
iterator_type: category
valid_iterator_type: category
output_dir: exp_all_no_filter_raw/spk_mms_ecapa_upcon_32_44_it0.4_sharedCondProj_butUpdate_50k_lr1e-5_datasetup0.3_backup_33epoch_raw
ngpu: 1
seed: 3702
num_workers: 8
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: true
cudnn_deterministic: false
use_tf32: false
collect_stats: false
write_collected_feats: false
max_epoch: 33
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - valid
    - accuracy
    - max
keep_nbest_models: 2
nbest_averaging_interval: 0
grad_clip: 9999
grad_clip_type: 2.0
grad_noise: false
accum_grad: 4
no_forward_run: false
resume: true
train_dtype: float32
use_amp: true
log_interval: 100
use_matplotlib: true
use_tensorboard: true
create_graph_in_tensorboard: false
use_wandb: true
wandb_project: lid
wandb_id: null
wandb_entity: qingzhew-carnegie-mellon-university
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: 2000
batch_size: 20
valid_batch_size: null
batch_bins: 1440000
valid_batch_bins: null
category_sample_size: 10
train_shape_file:
- exp_all_no_filter_raw/spk_stats_16k/train/speech_shape
valid_shape_file:
- exp_all_no_filter_raw/spk_stats_16k/valid/speech_shape
batch_type: catpow_balance_dataset
upsampling_factor: 0.5
language_upsampling_factor: 0.5
dataset_upsampling_factor: 0.3
dataset_scaling_factor: 1.2
max_batch_size: 6
valid_batch_type: null
fold_length:
- 120000
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:
-   - dump/raw/train_all_no_filter_lang/wav.scp
    - speech
    - sound
-   - dump/raw/train_all_no_filter_lang/utt2spk
    - lid_labels
    - text
valid_data_path_and_name_and_type:
-   - dump/raw/dev_ml_superb2_lang/wav.scp
    - speech
    - sound
-   - dump/raw/dev_ml_superb2_lang/utt2spk
    - lid_labels
    - 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: adam
optim_conf:
    lr: 1.0e-05
    betas:
    - 0.9
    - 0.98
scheduler: tristagelr
scheduler_conf:
    max_steps: 12500
    warmup_ratio: 0.1
    hold_ratio: 0.4
    decay_ratio: 0.5
    init_lr_scale: 0.6
    final_lr_scale: 0.1
init: null
use_preprocessor: true
input_size: null
target_duration: 3.0
spk2utt: dump/raw/train_all_no_filter_lang/spk2utt
spk_num: 157
sample_rate: 16000
num_eval: 10
rir_scp: ''
model: upstream_condition
model_conf:
    lang2vec_conditioning_layers:
    - 32
    - 36
    - 40
    - 44
    lid_conditioning_layers: []
    frozen_ecapa: false
    apply_intermediate_lang2vec_loss: true
    apply_intermediate_lid_class_loss: false
    apply_intermediate_lang2vec_condition: true
    apply_intermediate_lid_class_condition: false
    inter_lang2vec_loss_weight: 0.4
    inter_lid_class_loss_weight: 0.0
    cutoff_gradient_from_backbone: false
    cutoff_gradient_before_condtrans: true
    independent_module: true
    use_gate: false
    gate_type: null
    shared_conditioning_proj: true
frontend: s3prl_condition
frontend_conf:
    frontend_conf:
        upstream: hf_wav2vec2_condition
        path_or_url: facebook/mms-1b
    download_dir: ./hub
    multilayer_feature: true
specaug: null
specaug_conf: {}
normalize: utterance_mvn
normalize_conf:
    norm_vars: false
encoder: ecapa_tdnn
encoder_conf:
    model_scale: 8
    ndim: 512
    output_size: 1536
pooling: chn_attn_stat
pooling_conf: {}
projector: rawnet3
projector_conf:
    output_size: 192
encoder_condition: identity
encoder_condition_conf: {}
pooling_condition: chn_attn_stat
pooling_condition_conf: {}
projector_condition: rawnet3
projector_condition_conf: {}
preprocessor: lid
preprocessor_conf:
    fix_duration: false
    sample_rate: 16000
    noise_apply_prob: 0.0
    noise_info:
    -   - 1.0
        - dump/raw/musan_speech.scp
        -   - 4
            - 7
        -   - 13
            - 20
    -   - 1.0
        - dump/raw/musan_noise.scp
        -   - 1
            - 1
        -   - 0
            - 15
    -   - 1.0
        - dump/raw/musan_music.scp
        -   - 1
            - 1
        -   - 5
            - 15
    rir_apply_prob: 0.0
    rir_scp: dump/raw/rirs.scp
    use_lang2vec: true
    lang2vec_type: geo
loss: aamsoftmax_sc_topk_lang2vec
loss_conf:
    margin: 0.5
    scale: 30
    K: 3
    mp: 0.06
    k_top: 5
    lang2vec_dim: 299
    lang2vec_type: geo
    lang2vec_weight: 0.2
required:
- output_dir
version: '202412'
distributed: false