espnet/

universa-base_urgent24_multi-metric

config: conf/train_universa.yaml
print_config: false
log_level: INFO
drop_last_iter: false
dry_run: false
iterator_type: sequence
valid_iterator_type: null
output_dir: exp/universa_train_universa_raw_fs16000
ngpu: 1
seed: 777
num_workers: 1
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: false
sharded_ddp: false
use_deepspeed: false
deepspeed_config: null
cudnn_enabled: true
cudnn_benchmark: false
cudnn_deterministic: false
use_tf32: false
collect_stats: false
write_collected_feats: false
max_epoch: 100
patience: null
val_scheduler_criterion:
- valid
- loss
early_stopping_criterion:
- valid
- loss
- min
best_model_criterion:
-   - train
    - loss
    - min
-   - valid
    - loss
    - min
-   - train
    - acc
    - max
-   - 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: 50
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: 16
valid_batch_size: null
batch_bins: 1000000
valid_batch_bins: null
category_sample_size: 10
train_shape_file:
- exp/universa_stats_raw/train/audio_shape
- exp/universa_stats_raw/train/ref_audio_shape
- exp/universa_stats_raw/train/ref_text_shape
valid_shape_file:
- exp/universa_stats_raw/valid/audio_shape
- exp/universa_stats_raw/valid/ref_audio_shape
- exp/universa_stats_raw/valid/ref_text_shape
batch_type: sorted
valid_batch_type: null
fold_length:
- 256000
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/wav.scp
    - audio
    - sound
-   - dump/raw/train/metric.scp
    - metrics
    - metric
-   - dump/raw/train/ref_wav.scp
    - ref_audio
    - sound
-   - dump/raw/train/text
    - ref_text
    - text
valid_data_path_and_name_and_type:
-   - dump/raw/dev/wav.scp
    - audio
    - sound
-   - dump/raw/dev/metric.scp
    - metrics
    - metric
-   - dump/raw/dev/ref_wav.scp
    - ref_audio
    - sound
-   - dump/raw/dev/text
    - ref_text
    - 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: 0.001
scheduler: warmuplr
scheduler_conf:
    warmup_steps: 25000
metric2id: dump/raw/train/metric2id
metric2type: null
metric_pad_value: -100
token_list:
- <blank>
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init: xavier_uniform
model_conf: {}
use_ref_audio: true
use_ref_text: true
use_preprocessor: true
token_type: bpe
bpemodel: data/token_list/bpe_unigram500/bpe.model
non_linguistic_symbols: null
cleaner: null
g2p: null
frontend: default
frontend_conf: {}
universa: base
universa_conf:
    embedding_dim: 256
    audio_encoder_type: transformer
    audio_encoder_params:
        num_blocks: 4
        attention_heads: 4
        linear_units: 1024
        dropout_rate: 0.1
        positional_dropout_rate: 0.1
        attention_dropout_rate: 0.1
        input_layer: conv2d
        normalize_before: true
        concat_after: false
        positionwise_layer_type: linear
        positionwise_conv_kernel_size: 1
        layer_drop_rate: 0.1
        qk_norm: false
        use_flash_attn: false
    text_encoder_type: transformer
    text_encoder_params:
        num_blocks: 4
        attention_heads: 4
        linear_units: 1024
        dropout_rate: 0.1
        positional_dropout_rate: 0.1
        attention_dropout_rate: 0.1
        input_layer: linear
        normalize_before: true
        concat_after: false
        positionwise_layer_type: linear
        positionwise_conv_kernel_size: 1
        layer_drop_rate: 0.1
        qk_norm: false
        use_flash_attn: false
    cross_attention_type: multihead
    cross_attention_params:
        n_head: 4
        dropout_rate: 0.1
    pooling_type: mean
    projector_type: linear
    multi_branch: true
required:
- output_dir
- metric2id
version: '202409'
distributed: false