ASR_subtitles_v2 / train_config.yaml
Jakob Poncelet
First model version
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batch_size: 16
accum_grad: 128
max_epoch: 150
patience: none
# The initialization method for model parameters
init: xavier_uniform
best_model_criterion:
- - valid
- acc_asr #
- max
keep_nbest_models: 10
encoder: conformer
encoder_conf:
output_size: 512
attention_heads: 8
linear_units: 2048
num_blocks: 12
dropout_rate: 0.1
positional_dropout_rate: 0.1
attention_dropout_rate: 0.1
input_layer: conv2d
normalize_before: true
macaron_style: true
rel_pos_type: latest
pos_enc_layer_type: rel_pos
selfattention_layer_type: rel_selfattn
activation_type: swish
use_cnn_module: true
cnn_module_kernel: 31
interctc_layer_idx: [6]
decoder: multi_transformer #mlm
decoder_conf:
attention_heads: 8
linear_units: 2048
num_blocks: 6
dropout_rate: 0.1
positional_dropout_rate: 0.1
self_attention_dropout_rate: 0.1
src_attention_dropout_rate: 0.1
return_hidden: true
subtitle_encoder: transformer
subtitle_encoder_conf:
output_size: 512
attention_heads: 8
linear_units: 2048
num_blocks: 6
dropout_rate: 0.1
positional_dropout_rate: 0.1
attention_dropout_rate: 0.1
input_layer: none
normalize_before: true
macaron_style: true
subtitle_decoder: multi_transformer
subtitle_decoder_conf:
attention_heads: 8
linear_units: 2048
num_blocks: 6
dropout_rate: 0.1
positional_dropout_rate: 0.1
self_attention_dropout_rate: 0.1
src_attention_dropout_rate: 0.1
model_conf:
asr_weight: 0.5
subs_weight: 0.5
ctc_weight: 0.3 # = CTC weight
interctc_weight: 0.3
lsm_weight_asr: 0.1
lsm_weight_mt: 0.1
length_normalized_loss: false
condition_subtitle_decoder: true
condition_asr_decoder: true
use_asr_feats: "encoder"
optim: adam
optim_conf:
lr: 0.003
scheduler: warmuplr
scheduler_conf:
warmup_steps: 100000
specaug: specaug
specaug_conf:
apply_time_warp: true
time_warp_window: 5
time_warp_mode: bicubic
apply_freq_mask: true
freq_mask_width_range:
- 0
- 30
num_freq_mask: 2
apply_time_mask: true
time_mask_width_range:
- 0
- 40
num_time_mask: 2