Update model

.gitattributes

@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.mdl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,740 @@
+---
+tags:
+- espnet
+- audio
+- self-supervised-learning
+language: en
+datasets:
+- librispeech
+license: cc-by-4.0
+---
+
+## ESPnet2 SSL model 
+
+### `espnet/hubert_large_gs_16_librilight60k`
+
+This model was trained by wanchichen using librispeech recipe in [espnet](https://github.com/espnet/espnet/).
+
+### Demo: How to use in ESPnet2
+
+Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
+if you haven't done that already.
+
+```bash
+cd espnet
+
+pip install -e .
+cd egs2/librispeech/ssl1
+./run.sh --skip_data_prep false --skip_train true --download_model espnet/hubert_large_gs_16_librilight60k
+```
+
+
+
+## SSL config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_ssl_torchaudiohubert_large_960h_pretrain_it2_bins.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/hubert_iter1_train_ssl_torchaudiohubert_large_960h_pretrain_it2_bins_raw
+ngpu: 1
+seed: 0
+num_workers: 16
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: 8
+dist_rank: 0
+local_rank: 0
+dist_master_addr: localhost
+dist_master_port: 55415
+dist_launcher: null
+multiprocessing_distributed: true
+unused_parameters: true
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 190
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - loss
+    - min
+keep_nbest_models: 10
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 16
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: true
+log_interval: null
+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
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: 40000
+batch_size: 20
+valid_batch_size: null
+batch_bins: 100000
+valid_batch_bins: null
+train_shape_file:
+- exp/hubert_iter1_stats_raw/splits16/speech_shape
+- exp/hubert_iter1_stats_raw/splits16/text_shape.word
+valid_shape_file:
+- exp/hubert_iter1_stats_raw/valid/speech_shape
+- exp/hubert_iter1_stats_raw/valid/text_shape.word
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 400
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: true
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - exp/hubert_iter1_stats_raw/splits16/wav.scp
+    - speech
+    - sound
+-   - exp/hubert_iter1_stats_raw/splits16/text.km.kmeans_iter1_hubert_train_60k_portion0.1_gigaspeech
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev/wav.scp
+    - speech
+    - sound
+-   - dump/raw/dev/text.km.kmeans_iter1_hubert_train_60k_portion0.1_gigaspeech
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+exclude_weight_decay: false
+exclude_weight_decay_conf: {}
+optim: adam
+optim_conf:
+    lr: 0.0005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 32000
+token_list:
+- '6'
+- '185'
+- '233'
+- '206'
+- '200'
+- '47'
+- '129'
+- '362'
+- '436'
+- '50'
+- '30'
+- '137'
+- '39'
+- '126'
+- '81'
+- '78'
+- '444'
+- '439'
+- '230'
+- '33'
+- '14'
+- '61'
+- '450'
+- '239'
+- '293'
+- '161'
+- '410'
+- '355'
+- '262'
+- '475'
+- '338'
+- '201'
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+- '21'
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+- '67'
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+- '1'
+- <unk>
+- <sos/eos>
+init: null
+collate_fn_conf:
+    label_downsampling: 1
+    pad: false
+    rand_crop: true
+input_size: 1
+num_classes: 500
+use_preprocessor: true
+token_type: word
+bpemodel: null
+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'
+pred_masked_weight: 1.0
+pred_nomask_weight: 0.0
+loss_weights: 0.0
+frontend: null
+frontend_conf: {}
+specaug: null
+specaug_conf: {}
+normalize: null
+normalize_conf: {}
+preencoder: null
+preencoder_conf: {}
+encoder: torchaudio_hubert
+encoder_conf:
+    encoder_projection_dropout: 0.0
+    encoder_attention_dropout: 0.0
+    encoder_ff_interm_dropout: 0.0
+    encoder_dropout: 0.0
+    encoder_layer_drop: 0.0
+    extractor_mode: layer_norm
+    encoder_embed_dim: 1024
+    encoder_num_layers: 24
+    encoder_num_heads: 16
+    encoder_ff_interm_features: 4096
+    encoder_layer_norm_first: true
+    normalize_feats: true
+    final_dim: 768
+model: torchaudio
+model_conf: {}
+required:
+- output_dir
+- token_list
+version: '202301'
+distributed: true
+```
+
+</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}
+}
+```

meta.yaml

@@ -0,0 +1,8 @@
+espnet: '202301'
+files:
+  model_file: /mnt/datastore/exp/hubert_iter1_train_ssl_torchaudiohubert_large_960h_pretrain_it2_bins_raw/valid.loss.ave_10best.pth
+python: "3.8.16 (default, Jan 17 2023, 23:13:24) \n[GCC 11.2.0]"
+timestamp: 1680639936.937445
+torch: 1.13.1
+yaml_files:
+  train_config: /mnt/datastore/exp/hubert_iter1_train_ssl_torchaudiohubert_large_960h_pretrain_it2_bins_raw/config.yaml

mnt/datastore/exp/hubert_iter1_train_ssl_torchaudiohubert_large_960h_pretrain_it2_bins_raw/config.yaml

@@ -0,0 +1,667 @@
+config: conf/tuning/train_ssl_torchaudiohubert_large_960h_pretrain_it2_bins.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/hubert_iter1_train_ssl_torchaudiohubert_large_960h_pretrain_it2_bins_raw
+ngpu: 1
+seed: 0
+num_workers: 16
+num_att_plot: 3
+dist_backend: nccl
+dist_init_method: env://
+dist_world_size: 8
+dist_rank: 0
+local_rank: 0
+dist_master_addr: localhost
+dist_master_port: 55415
+dist_launcher: null
+multiprocessing_distributed: true
+unused_parameters: true
+sharded_ddp: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 190
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - loss
+    - min
+keep_nbest_models: 10
+nbest_averaging_interval: 0
+grad_clip: 5.0
+grad_clip_type: 2.0
+grad_noise: false
+accum_grad: 16
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: true
+log_interval: null
+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
+pretrain_path: null
+init_param: []
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: 40000
+batch_size: 20
+valid_batch_size: null
+batch_bins: 100000
+valid_batch_bins: null
+train_shape_file:
+- exp/hubert_iter1_stats_raw/splits16/speech_shape
+- exp/hubert_iter1_stats_raw/splits16/text_shape.word
+valid_shape_file:
+- exp/hubert_iter1_stats_raw/valid/speech_shape
+- exp/hubert_iter1_stats_raw/valid/text_shape.word
+batch_type: numel
+valid_batch_type: null
+fold_length:
+- 80000
+- 400
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: true
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - exp/hubert_iter1_stats_raw/splits16/wav.scp
+    - speech
+    - sound
+-   - exp/hubert_iter1_stats_raw/splits16/text.km.kmeans_iter1_hubert_train_60k_portion0.1_gigaspeech
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev/wav.scp
+    - speech
+    - sound
+-   - dump/raw/dev/text.km.kmeans_iter1_hubert_train_60k_portion0.1_gigaspeech
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+exclude_weight_decay: false
+exclude_weight_decay_conf: {}
+optim: adam
+optim_conf:
+    lr: 0.0005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 32000
+token_list:
+- '6'
+- '185'
+- '233'
+- '206'
+- '200'
+- '47'
+- '129'
+- '362'
+- '436'
+- '50'
+- '30'
+- '137'
+- '39'
+- '126'
+- '81'
+- '78'
+- '444'
+- '439'
+- '230'
+- '33'
+- '14'
+- '61'
+- '450'
+- '239'
+- '293'
+- '161'
+- '410'
+- '355'
+- '262'
+- '475'
+- '338'
+- '201'
+- '242'
+- '318'
+- '159'
+- '56'
+- '190'
+- '21'
+- '259'
+- '458'
+- '187'
+- '268'
+- '7'
+- '398'
+- '67'
+- '11'
+- '455'
+- '241'
+- '4'
+- '261'
+- '412'
+- '388'
+- '402'
+- '414'
+- '180'
+- '41'
+- '198'
+- '100'
+- '459'
+- '96'
+- '235'
+- '267'
+- '203'
+- '189'
+- '60'
+- '160'
+- '64'
+- '300'
+- '295'
+- '473'
+- '37'
+- '130'
+- '77'
+- '424'
+- '369'
+- '217'
+- '366'
+- '3'
+- '82'
+- '149'
+- '330'
+- '79'
+- '351'
+- '223'
+- '446'
+- '269'
+- '148'
+- '186'
+- '110'
+- '62'
+- '471'
+- '316'
+- '433'
+- '127'
+- '354'
+- '243'
+- '457'
+- '240'
+- '375'
+- '46'
+- '40'
+- '339'
+- '224'
+- '183'
+- '179'
+- '357'
+- '430'
+- '83'
+- '49'
+- '154'
+- '237'
+- '460'
+- '353'
+- '289'
+- '92'
+- '109'
+- '311'
+- '71'
+- '391'
+- '406'
+- '43'
+- '73'
+- '418'
+- '437'
+- '250'
+- '463'
+- '120'
+- '346'
+- '146'
+- '454'
+- '211'
+- '274'
+- '167'
+- '345'
+- '10'
+- '68'
+- '348'
+- '244'
+- '102'
+- '474'
+- '192'
+- '144'
+- '112'
+- '25'
+- '449'
+- '308'
+- '405'
+- '48'
+- '212'
+- '205'
+- '124'
+- '153'
+- '9'
+- '5'
+- '258'
+- '306'
+- '80'
+- '394'
+- '328'
+- '208'
+- '166'
+- '36'
+- '352'
+- '18'
+- '397'
+- '66'
+- '31'
+- '16'
+- '426'
+- '332'
+- '23'
+- '281'
+- '215'
+- '88'
+- '171'
+- '221'
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+model: torchaudio
+model_conf: {}
+required:
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+- token_list
+version: '202301'
+distributed: true

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