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use_cuda_graph_decoder: false
ngram_lm_model: null
ngram_lm_alpha: 0.0
boosting_tree:
model_path: null
key_phrases_file: null
key_phrases_list: null
key_phrase_items_list: null
context_score: 1.0
depth_scaling: 2.0
unk_score: 0.0
final_eos_score: 1.0
score_per_phrase: 0.0
source_lang: en
use_triton: null
uniform_weights: false
bpe_mode: default
use_bpe_dropout: null
num_of_transcriptions: 5
bpe_alpha: 0.3
var_bpe_scoring_temp: 10.0
var_bpe_penalize_subsplits: true
boosting_tree_alpha: 0.0
enable_per_stream_biasing: false
beam:
beam_size: 4
search_type: default
score_norm: true
return_best_hypothesis: true
tsd_max_sym_exp_per_step: 50
alsd_max_target_len: 1.0
nsc_max_timesteps_expansion: 1
nsc_prefix_alpha: 1
maes_num_steps: 2
maes_prefix_alpha: 1
maes_expansion_gamma: 2.3
maes_expansion_beta: 2
language_model: null
softmax_temperature: 1.0
preserve_alignments: false
ngram_lm_model: null
ngram_lm_alpha: 0.0
boosting_tree:
model_path: null
key_phrases_file: null
key_phrases_list: null
key_phrase_items_list: null
context_score: 1.0
depth_scaling: 2.0
unk_score: 0.0
final_eos_score: 1.0
score_per_phrase: 0.0
source_lang: en
use_triton: null
uniform_weights: false
bpe_mode: default
use_bpe_dropout: null
num_of_transcriptions: 5
bpe_alpha: 0.3
var_bpe_scoring_temp: 10.0
var_bpe_penalize_subsplits: true
boosting_tree_alpha: 0.0
hat_subtract_ilm: false
hat_ilm_weight: 0.0
max_symbols_per_step: 10
blank_lm_score_mode: LM_WEIGHTED_FULL
pruning_mode: LATE
allow_cuda_graphs: true
enable_per_stream_biasing: false
preserve_frame_confidence: false
tdt_include_duration_confidence: false
confidence_method_cfg:
name: entropy
entropy_type: tsallis
alpha: 0.33
entropy_norm: exp
temperature: DEPRECATED
temperature: 1.0
durations: []
big_blank_durations: []
strip_lang_tags: false
lang_tag_pattern: null
decoder_type: null
debug_mode: false
target_lang: null
strip_lang_tags: false
lang_tag_pattern: null
[NeMo I 2026-09-19 02:30:27 transcribe_utils:323] Restoring model : EncDecRNNTBPEModel
[NeMo I 2026-09-19 02:30:31 mixins:195] Tokenizer SentencePieceTokenizer initialized with 1024 tokens
[NeMo W 2026-09-19 02:30:31 modelPT:176] If you intend to do training or fine-tuning, please call the ModelPT.setup_training_data() method and provide a valid configuration file to setup the train data loader.
Train config :
use_lhotse: true
skip_missing_manifest_entries: true
input_cfg: null
tarred_audio_filepaths: null
manifest_filepath: null
sample_rate: 16000
shuffle: true
num_workers: 2