This model was trained by ftshijt using mls recipe in espnet. Python API See https://github.com/espnet/espnet_model_zoo Evaluate in the recipe git clone https://github.com/espnet/espnet cd espnet git checkout fa63570d883e2ae8a57a58abfb6e1c1754100e7c pip install -e . cd egs2/mls/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model ftshijt/mls_asr_transformer_valid.acc.best Results # RESULTS ## Environments - date: `Fri Jan 22 04:56:26 EST 2021` - python version: `3.8.3 (default, May 19 2020, 18:47:26) [GCC 7.3.0]` - espnet version: `espnet 0.9.2` - pytorch version: `pytorch 1.6.0` - Git hash: `c0c3724fe660abd205dbca9c9bbdffed1d2c79db` - Commit date: `Tue Jan 12 23:00:11 2021 -0500` ## asr_transformer ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_bpe150_valid.loss.ave_asr_model_valid.acc.best/es_test|2385|88499|81.3|15.6|3.1|2.5|21.2|98.6| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_bpe150_valid.loss.ave_asr_model_valid.acc.best/es_test|2385|474976|94.3|2.9|2.7|1.4|7.1|98.6| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_bpe150_valid.loss.ave_asr_model_valid.acc.best/es_test|2385|251160|88.6|7.9|3.5|2.1|13.6|98.6| ASR config config: conf/tuning/train_asr_transformer.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_transformer ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 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 cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 100 patience: 0 val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 10 grad_clip: 5 grad_clip_type: 2.0 grad_noise: false accum_grad: 2 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null unused_parameters: false use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null pretrain_path: null init_param: [] num_iters_per_epoch: null batch_size: 32 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_bpe150/train/speech_shape - exp/asr_stats_raw_bpe150/train/text_shape.bpe valid_shape_file: - exp/asr_stats_raw_bpe150/valid/speech_shape - exp/asr_stats_raw_bpe150/valid/text_shape.bpe batch_type: folded valid_batch_type: null fold_length: - 80000 - 150 sort_in_batch: descending sort_batch: descending multiple_iterator: false chunk_length: 500 chunk_shift_ratio: 0.5 num_cache_chunks: 1024 train_data_path_and_name_and_type: - - dump/raw/es_train/wav.scp - speech - sound - - dump/raw/es_train/text - text - text valid_data_path_and_name_and_type: - - dump/raw/es_dev/wav.scp - speech - sound - - dump/raw/es_dev/text - text - text allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adam optim_conf: lr: 1.0 scheduler: noamlr scheduler_conf: warmup_steps: 25000 token_list: - - - ▁ - s - n - r - o - a - ▁de - e - l - ▁a - u - ▁y - ▁que - ra - ta - do - ▁la - i - ▁en - re - to - ▁el - d - p - da - la - c - b - t - ro - ó - en - ri - g - ba - ▁se - os - er - te - ▁con - ci - ▁es - es - ▁no - ▁su - h - ti - é - mo - á - ▁ca - ▁ha - na - ▁los - lo - í - ía - de - me - ca - ▁al - le - ce - v - ma - nte - ▁di - ▁ma - ▁por - y - di - m - ▁pa - sa - ▁si - ▁pe - gu - z - ▁mi - ▁co - ▁me - ▁o - ▁e - ▁un - tra - ▁re - li - ▁f - co - ▁á - ndo - se - mi - ga - ni - ▁cu - ▁le - jo - ▁ve - mp - bi - f - va - ▁mu - go - ▁so - ñ - tu - si - ▁lo - ▁pu - ▁vi - ▁b - ▁las - ▁c - ▁sa - za - ▁del - ▁po - ▁in - vi - ▁te - tro - cia - ▁una - qui - pi - que - ja - pa - ▁para - cu - pe - ▁como - ▁esta - ve - je - lle - x - ú - j - q - '''' - k - w - ü - '-' - init: chainer input_size: null ctc_conf: dropout_rate: 0.0 ctc_type: builtin reduce: true ignore_nan_grad: false model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false use_preprocessor: true token_type: bpe bpemodel: data/token_list/bpe_unigram150/bpe.model non_linguistic_symbols: null cleaner: null g2p: null frontend: default frontend_conf: fs: 16k specaug: null specaug_conf: {} normalize: global_mvn normalize_conf: stats_file: exp/asr_stats_raw_bpe150/train/feats_stats.npz preencoder: null preencoder_conf: {} encoder: transformer encoder_conf: input_layer: conv2d num_blocks: 12 linear_units: 2048 dropout_rate: 0.1 output_size: 256 attention_heads: 4 attention_dropout_rate: 0.0 decoder: transformer decoder_conf: input_layer: embed num_blocks: 6 linear_units: 2048 dropout_rate: 0.1 required: - output_dir - token_list distributed: false LM config config: null print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/lm_train_bpe150 ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 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 cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 40 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: - 10 grad_clip: 5.0 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 unused_parameters: false use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null pretrain_path: null init_param: [] num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/lm_stats_bpe150/train/text_shape.bpe valid_shape_file: - exp/lm_stats_bpe150/valid/text_shape.bpe batch_type: folded valid_batch_type: null fold_length: - 150 sort_in_batch: descending sort_batch: descending multiple_iterator: false chunk_length: 500 chunk_shift_ratio: 0.5 num_cache_chunks: 1024 train_data_path_and_name_and_type: - - dump/raw/lm_train.txt - text - text valid_data_path_and_name_and_type: - - dump/raw/es_dev/text - text - text allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adadelta optim_conf: {} scheduler: null scheduler_conf: {} token_list: - - - ▁ - s - n - r - o - a - ▁de - e - l - ▁a - u - ▁y - ▁que - ra - ta - do - ▁la - i - ▁en - re - to - ▁el - d - p - da - la - c - b - t - ro - ó - en - ri - g - ba - ▁se - os - er - te - ▁con - ci - ▁es - es - ▁no - ▁su - h - ti - é - mo - á - ▁ca - ▁ha - na - ▁los - lo - í - ía - de - me - ca - ▁al - le - ce - v - ma - nte - ▁di - ▁ma - ▁por - y - di - m - ▁pa - sa - ▁si - ▁pe - gu - z - ▁mi - ▁co - ▁me - ▁o - ▁e - ▁un - tra - ▁re - li - ▁f - co - ▁á - ndo - se - mi - ga - ni - ▁cu - ▁le - jo - ▁ve - mp - bi - f - va - ▁mu - go - ▁so - ñ - tu - si - ▁lo - ▁pu - ▁vi - ▁b - ▁las - ▁c - ▁sa - za - ▁del - ▁po - ▁in - vi - ▁te - tro - cia - ▁una - qui - pi - que - ja - pa - ▁para - cu - pe - ▁como - ▁esta - ve - je - lle - x - ú - j - q - '''' - k - w - ü - '-' - init: null model_conf: ignore_id: 0 use_preprocessor: true token_type: bpe bpemodel: data/token_list/bpe_unigram150/bpe.model non_linguistic_symbols: null cleaner: null g2p: null lm: seq_rnn lm_conf: {} required: - output_dir - token_list distributed: false