Add best model files xlsr53_conformer

README.md

@@ -0,0 +1,460 @@
+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: te
+datasets:
+- microsoft_indian_languages_interspeech2018
+
+license: cc-by-4.0
+---
+
+## ESPnet2  model
+
+### ``
+
+This model was trained by Chaitanya Narisetty using  recipe in [espnet](https://github.com/espnet/espnet/).
+
+### Demo: How to use in ESPnet2
+
+```bash
+cd espnet
+
+pip install -e .
+cd egs2/ms_indic_is18/asr1
+./run.sh --skip_data_prep false --skip_train true --download_model espnet/chai_microsoft_indian_langs_te
+```
+
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Tue Mar 22 13:38:24 EDT 2022`
+- python version: `3.9.5 (default, Jun  4 2021, 12:28:51)  [GCC 7.5.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.8.1+cu111`
+- Git hash: `f91410f712d1287cd6809c5bf26b54c5a40fe314`
+  - Commit date: `Mon Mar 14 22:32:17 2022 -0400`
+
+## asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.5|2.5|2.4|24.4|80.1|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.4|2.6|2.4|24.4|79.7|
+|decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.5|2.6|2.5|24.5|79.9|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.2|2.2|1.6|6.1|80.1|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.2|2.2|1.6|6.0|79.7|
+|decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.1|2.2|1.6|6.0|79.9|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|146657|92.7|4.7|2.6|1.6|8.9|80.1|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|146657|92.8|4.7|2.6|1.6|8.9|79.7|
+|decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|146657|92.8|4.6|2.6|1.6|8.9|79.9|
+
+
+##  config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_asr_xlsr53_conformer.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp
+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
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 50
+patience: 15
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+nbest_averaging_interval: 0
+grad_clip: 5
+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
+use_matplotlib: true
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param:
+- frontend.upstream
+num_iters_per_epoch: null
+batch_size: 64
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_te_bpe150_sp_ssl/train/speech_shape
+- exp/asr_stats_raw_te_bpe150_sp_ssl/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_te_bpe150_sp_ssl/valid/speech_shape
+- exp/asr_stats_raw_te_bpe150_sp_ssl/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/train_te_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_te_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev_te/wav.scp
+    - speech
+    - sound
+-   - dump/raw/dev_te/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: 0.0005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 30000
+token_list:
+- <blank>
+- <unk>
+- ా
+- ు
+- ి
+- ం
+- ే
+- వ
+- న
+- ల
+- ▁అ
+- క
+- ్
+- ో
+- మ
+- ▁
+- త
+- ర
+- ప
+- ీ
+- ▁మ
+- య
+- డ
+- ▁ప
+- ద
+- ని
+- గ
+- ▁వ
+- స
+- కు
+- ె
+- ర్
+- ▁స
+- ▁క
+- ్య
+- న్న
+- ట
+- ▁చ
+- ▁త
+- ాల
+- ంట
+- ూ
+- శ
+- ంద
+- ార
+- ▁న
+- ారు
+- ▁ఉ
+- లు
+- ▁ఆ
+- ను
+- జ
+- రి
+- ▁ప్ర
+- ించ
+- ధ
+- ై
+- హ
+- ంది
+- ్ర
+- ▁ఇ
+- చ
+- రు
+- స్త
+- లో
+- ▁ద
+- డు
+- ▁ఎ
+- ▁వి
+- ల్ల
+- ణ
+- గా
+- ది
+- డి
+- న్నారు
+- దు
+- ిన
+- ▁ర
+- త్
+- ొ
+- ▁గ
+- ంత
+- ంగా
+- ▁కా
+- బ
+- ▁జ
+- ష
+- ▁తెల
+- ులు
+- ▁ఏ
+- ట్ట
+- చ్చ
+- తి
+- నే
+- కి
+- ంలో
+- ▁అవును
+- ▁చెప్ప
+- భ
+- ▁ఈ
+- ప్ప
+- ▁ని
+- ▁రా
+- క్క
+- ▁బ
+- ట్ల
+- ▁భ
+- తో
+- ▁కూడా
+- ▁బా
+- ద్ద
+- ▁చేస
+- ▁లే
+- ాయి
+- ానికి
+- త్ర
+- ▁కొ
+- ఖ
+- ▁ఒక
+- ▁చాలా
+- క్ష
+- ళ
+- ▁చేస్త
+- ృ
+- థ
+- ఘ
+- ఫ
+- ఓ
+- ౌ
+- ఒ
+- ఐ
+- ఠ
+- ఢ
+- అ
+- ఉ
+- ఏ
+- ఈ
+- ౦
+- ఇ
+- ః
+- ఋ
+- ఝ
+- ఔ
+- ఛ
+- ఞ
+- ఊ
+- ఎ
+- ఆ
+- ఙ
+- <sos/eos>
+init: xavier_uniform
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+joint_net_conf: null
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+    extract_feats_in_collect_stats: false
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/te_token_list/bpe_unigram150/bpe.model
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: fused
+frontend_conf:
+    frontends:
+    -   frontend_type: default
+        n_fft: 512
+        win_length: 400
+        hop_length: 160
+    -   frontend_type: s3prl
+        frontend_conf:
+            upstream: wav2vec2_xlsr
+        download_dir: ./hub
+        multilayer_feature: true
+    align_method: linear_projection
+    proj_dim: 200
+    fs: 16k
+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
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: linear
+preencoder_conf:
+    input_size: 400
+    output_size: 100
+encoder: conformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    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
+    pos_enc_layer_type: rel_pos
+    selfattention_layer_type: rel_selfattn
+    activation_type: swish
+    use_cnn_module: true
+    cnn_module_kernel: 15
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    input_layer: embed
+    num_blocks: 6
+    linear_units: 2048
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.1
+    src_attention_dropout_rate: 0.1
+required:
+- output_dir
+- token_list
+version: 0.10.7a1
+distributed: false
+```
+
+</details>
+
+
+
+### Citing ESPnet
+
+```BibTex
+@inproceedings{watanabe2018espnet,
+  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
+  title={{ESPnet}: End-to-End Speech Processing Toolkit},
+  year={2018},
+  booktitle={Proceedings of Interspeech},
+  pages={2207--2211},
+  doi={10.21437/Interspeech.2018-1456},
+  url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
+}
+
+
+
+
+```
+
+or arXiv:
+
+```bibtex
+@misc{watanabe2018espnet,
+  title={ESPnet: End-to-End Speech Processing Toolkit},
+  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
+  year={2018},
+  eprint={1804.00015},
+  archivePrefix={arXiv},
+  primaryClass={cs.CL}
+}
+```

exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp/RESULTS.md

@@ -0,0 +1,35 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Tue Mar 22 13:38:24 EDT 2022`
+- python version: `3.9.5 (default, Jun  4 2021, 12:28:51)  [GCC 7.5.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.8.1+cu111`
+- Git hash: `f91410f712d1287cd6809c5bf26b54c5a40fe314`
+  - Commit date: `Mon Mar 14 22:32:17 2022 -0400`
+
+## asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.5|2.5|2.4|24.4|80.1|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.4|2.6|2.4|24.4|79.7|
+|decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.5|2.6|2.5|24.5|79.9|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.2|2.2|1.6|6.1|80.1|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.2|2.2|1.6|6.0|79.7|
+|decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.1|2.2|1.6|6.0|79.9|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|146657|92.7|4.7|2.6|1.6|8.9|80.1|
+|decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|146657|92.8|4.7|2.6|1.6|8.9|79.7|
+|decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|146657|92.8|4.6|2.6|1.6|8.9|79.9|
+

exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp/config.yaml

@@ -0,0 +1,355 @@
+config: conf/tuning/train_asr_xlsr53_conformer.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp
+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
+unused_parameters: false
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 50
+patience: 15
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 5
+nbest_averaging_interval: 0
+grad_clip: 5
+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
+use_matplotlib: true
+use_tensorboard: true
+use_wandb: false
+wandb_project: null
+wandb_id: null
+wandb_entity: null
+wandb_name: null
+wandb_model_log_interval: -1
+detect_anomaly: false
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param:
+- frontend.upstream
+num_iters_per_epoch: null
+batch_size: 64
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_te_bpe150_sp_ssl/train/speech_shape
+- exp/asr_stats_raw_te_bpe150_sp_ssl/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_te_bpe150_sp_ssl/valid/speech_shape
+- exp/asr_stats_raw_te_bpe150_sp_ssl/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/train_te_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_te_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev_te/wav.scp
+    - speech
+    - sound
+-   - dump/raw/dev_te/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: 0.0005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 30000
+token_list:
+- <blank>
+- <unk>
+- ా
+- ు
+- ి
+- ం
+- ే
+- వ
+- న
+- ల
+- ▁అ
+- క
+- ్
+- ో
+- మ
+- ▁
+- త
+- ర
+- ప
+- ీ
+- ▁మ
+- య
+- డ
+- ▁ప
+- ద
+- ని
+- గ
+- ▁వ
+- స
+- కు
+- ె
+- ర్
+- ▁స
+- ▁క
+- ్య
+- న్న
+- ట
+- ▁చ
+- ▁త
+- ాల
+- ంట
+- ూ
+- శ
+- ంద
+- ార
+- ▁న
+- ారు
+- ▁ఉ
+- లు
+- ▁ఆ
+- ను
+- జ
+- రి
+- ▁ప్ర
+- ించ
+- ధ
+- ై
+- హ
+- ంది
+- ్ర
+- ▁ఇ
+- చ
+- రు
+- స్త
+- లో
+- ▁ద
+- డు
+- ▁ఎ
+- ▁వి
+- ల్ల
+- ణ
+- గా
+- ది
+- డి
+- న్నారు
+- దు
+- ిన
+- ▁ర
+- త్
+- ొ
+- ▁గ
+- ంత
+- ంగా
+- ▁కా
+- బ
+- ▁జ
+- ష
+- ▁తెల
+- ులు
+- ▁ఏ
+- ట్ట
+- చ్చ
+- తి
+- నే
+- కి
+- ంలో
+- ▁అవును
+- ▁చెప్ప
+- భ
+- ▁ఈ
+- ప్ప
+- ▁ని
+- ▁రా
+- క్క
+- ▁బ
+- ట్ల
+- ▁భ
+- తో
+- ▁కూడా
+- ▁బా
+- ద్ద
+- ▁చేస
+- ▁లే
+- ాయి
+- ానికి
+- త్ర
+- ▁కొ
+- ఖ
+- ▁ఒక
+- ▁చాలా
+- క్ష
+- ళ
+- ▁చేస్త
+- ృ
+- థ
+- ఘ
+- ఫ
+- ఓ
+- ౌ
+- ఒ
+- ఐ
+- ఠ
+- ఢ
+- అ
+- ఉ
+- ఏ
+- ఈ
+- ౦
+- ఇ
+- ః
+- ఋ
+- ఝ
+- ఔ
+- ఛ
+- ఞ
+- ఊ
+- ఎ
+- ఆ
+- ఙ
+- <sos/eos>
+init: xavier_uniform
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+joint_net_conf: null
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+    extract_feats_in_collect_stats: false
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/te_token_list/bpe_unigram150/bpe.model
+non_linguistic_symbols: null
+cleaner: null
+g2p: null
+speech_volume_normalize: null
+rir_scp: null
+rir_apply_prob: 1.0
+noise_scp: null
+noise_apply_prob: 1.0
+noise_db_range: '13_15'
+frontend: fused
+frontend_conf:
+    frontends:
+    -   frontend_type: default
+        n_fft: 512
+        win_length: 400
+        hop_length: 160
+    -   frontend_type: s3prl
+        frontend_conf:
+            upstream: wav2vec2_xlsr
+        download_dir: ./hub
+        multilayer_feature: true
+    align_method: linear_projection
+    proj_dim: 200
+    fs: 16k
+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
+normalize: utterance_mvn
+normalize_conf: {}
+preencoder: linear
+preencoder_conf:
+    input_size: 400
+    output_size: 100
+encoder: conformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    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
+    pos_enc_layer_type: rel_pos
+    selfattention_layer_type: rel_selfattn
+    activation_type: swish
+    use_cnn_module: true
+    cnn_module_kernel: 15
+postencoder: null
+postencoder_conf: {}
+decoder: transformer
+decoder_conf:
+    input_layer: embed
+    num_blocks: 6
+    linear_units: 2048
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.1
+    src_attention_dropout_rate: 0.1
+required:
+- output_dir
+- token_list
+version: 0.10.7a1
+distributed: false

exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp/decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/run.sh

@@ -0,0 +1 @@
+./asr.sh --ngpu 1 --lang te --local_data_opts '--lang te' --use_lm true --lm_config conf/tuning/train_lm_transformer.yaml --token_type bpe --nbpe 150 --feats_type raw --speed_perturb_factors '0.9 1.0 1.1' --asr_config conf/tuning/train_asr_wav2vec2.yaml --feats_normalize utt_mvn --inference_config conf/tuning/decode_transformer.yaml --inference_asr_model valid.acc.ave.pth --train_set train_te --valid_set dev_te --test_sets 'dev_te test_te' --bpe_train_text data/train_te/text --lm_train_text data/train_te/text --stage 12 --stop_stage 13 --inference_nj 5 --gpu_inference true --ngpu 1 --test_sets test_te --lm_config conf/tuning/train_lm_rnn.yaml --inference_lm valid.loss.ave.pth --inference_config conf/tuning/decode_transformer5.yaml --asr_stats_dir exp/asr_stats_raw_te_bpe150_sp_ssl_2 --asr_config conf/tuning/train_asr_xlsr53_conformer.yaml --stage 12 "$@"; exit $?

exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp/decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te/score

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exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp/decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/run.sh

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+./asr.sh --ngpu 1 --lang te --local_data_opts '--lang te' --use_lm true --lm_config conf/tuning/train_lm_transformer.yaml --token_type bpe --nbpe 150 --feats_type raw --speed_perturb_factors '0.9 1.0 1.1' --asr_config conf/tuning/train_asr_wav2vec2.yaml --feats_normalize utt_mvn --inference_config conf/tuning/decode_transformer.yaml --inference_asr_model valid.acc.ave.pth --train_set train_te --valid_set dev_te --test_sets 'dev_te test_te' --bpe_train_text data/train_te/text --lm_train_text data/train_te/text --stage 12 --stop_stage 13 --inference_nj 5 --gpu_inference true --ngpu 1 --lm_config conf/tuning/train_lm_rnn.yaml --inference_lm valid.loss.best.pth --inference_config conf/tuning/decode_transformer5.yaml --asr_stats_dir exp/asr_stats_raw_te_bpe150_sp_ssl_2 --asr_config conf/tuning/train_asr_xlsr53_conformer.yaml --stage 12 "$@"; exit $?

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exp/asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp/decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/run.sh

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+./asr.sh --ngpu 1 --lang te --local_data_opts '--lang te' --use_lm true --lm_config conf/tuning/train_lm_transformer.yaml --token_type bpe --nbpe 150 --feats_type raw --speed_perturb_factors '0.9 1.0 1.1' --asr_config conf/tuning/train_asr_wav2vec2.yaml --feats_normalize utt_mvn --inference_config conf/tuning/decode_transformer.yaml --inference_asr_model valid.acc.ave.pth --train_set train_te --valid_set dev_te --test_sets 'dev_te test_te' --bpe_train_text data/train_te/text --lm_train_text data/train_te/text --stage 12 --stop_stage 13 --inference_nj 5 --gpu_inference true --ngpu 1 --test_sets test_te --lm_config conf/tuning/train_lm_transformer.yaml --inference_lm valid.loss.ave.pth --inference_config conf/tuning/decode_transformer5.yaml --asr_stats_dir exp/asr_stats_raw_te_bpe150_sp_ssl_2 --asr_config conf/tuning/train_asr_xlsr53_conformer.yaml --stage 12 "$@"; exit $?

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