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
+exp/kmeans_iter1_hubert_train_960_portion0.1/km_500.mdl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -1,3 +1,730 @@
 ---
+tags:
+- espnet
+- audio
+- self-supervised-learning
+language: en
+datasets:
+- librispeech
 license: cc-by-4.0
 ---
+
+## ESPnet2 SSL model 
+
+### `simpleoier/simpleoier_librispeech_hubert_iter1_train_ssl_torchaudiohubert_base_960h_pretrain_it1_raw`
+
+This model was trained by simpleoier 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
+git checkout 753f40d61813436d4e76660904d02eaed7a6649e
+pip install -e .
+cd egs2/librispeech/ssl1
+./run.sh --skip_data_prep false --skip_train true --download_model simpleoier/simpleoier_librispeech_hubert_iter1_train_ssl_torchaudiohubert_base_960h_pretrain_it1_raw
+```
+
+
+
+## SSL config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_ssl_torchaudiohubert_base_960h_pretrain_it1.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/hubert_iter1_train_ssl_torchaudiohubert_base_960h_pretrain_it1_raw
+ngpu: 1
+seed: 0
+num_workers: 64
+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: 49251
+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: 250
+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: 2
+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: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 45000000
+valid_batch_bins: null
+train_shape_file:
+- exp/hubert_iter1_stats_raw/train/speech_shape
+- exp/hubert_iter1_stats_raw/train/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: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train_960/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_960/text.km.kmeans_iter1_hubert_train_960_portion0.1
+    - 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_960_portion0.1
+    - 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: 32000
+token_list:
+- '386'
+- '160'
+- '89'
+- '3'
+- '448'
+- '431'
+- '319'
+- '247'
+- '256'
+- '23'
+- '267'
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+- '321'
+- <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: 0.1
+    encoder_attention_dropout: 0.1
+    encoder_ff_interm_dropout: 0.0
+    encoder_dropout: 0.1
+    encoder_layer_drop: 0.05
+model: torchaudio
+model_conf: {}
+required:
+- output_dir
+- token_list
+version: '202209'
+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}
+}
+```

exp/hubert_iter1_train_ssl_torchaudiohubert_base_960h_pretrain_it1_raw/config.yaml

@@ -0,0 +1,657 @@
+config: conf/tuning/train_ssl_torchaudiohubert_base_960h_pretrain_it1.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/hubert_iter1_train_ssl_torchaudiohubert_base_960h_pretrain_it1_raw
+ngpu: 1
+seed: 0
+num_workers: 64
+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: 49251
+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: 250
+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: 2
+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: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 45000000
+valid_batch_bins: null
+train_shape_file:
+- exp/hubert_iter1_stats_raw/train/speech_shape
+- exp/hubert_iter1_stats_raw/train/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: false
+chunk_length: 500
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train_960/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_960/text.km.kmeans_iter1_hubert_train_960_portion0.1
+    - 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_960_portion0.1
+    - 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: 32000
+token_list:
+- '386'
+- '160'
+- '89'
+- '3'
+- '448'
+- '431'
+- '319'
+- '247'
+- '256'
+- '23'
+- '267'
+- '274'
+- '479'
+- '227'
+- '197'
+- '74'
+- '362'
+- '159'
+- '190'
+- '275'
+- '241'
+- '147'
+- '242'
+- '105'
+- '7'
+- '320'
+- '311'
+- '327'
+- '130'
+- '485'
+- '427'
+- '22'
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+- '254'
+- '451'
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+- '443'
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+- '67'
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+- '124'
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+- '345'
+- '230'
+- '287'
+- '175'
+- '294'
+- '184'
+- '97'
+- '48'
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+- '288'
+- '204'
+- '379'
+- '107'
+- '200'
+- '99'
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+- '129'
+- '445'
+- '51'
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+- '80'
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+- '223'
+- '312'
+- '69'
+- '30'
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+- '70'
+- '286'
+- '236'
+- '50'
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+- '88'
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+- '151'
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+- '367'
+- '299'
+- '313'
+- '220'
+- '206'
+- '297'
+- '422'
+- '71'
+- '44'
+- '281'
+- '91'
+- '57'
+- '408'
+- '112'
+- '26'
+- '145'
+- '16'
+- '75'
+- '235'
+- '183'
+- '222'
+- '171'
+- '121'
+- '250'
+- '472'
+- '195'
+- '94'
+- '357'
+- '393'
+- '380'
+- '370'
+- '363'
+- '103'
+- '396'
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+    rand_crop: true
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+encoder: torchaudio_hubert
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+    encoder_ff_interm_dropout: 0.0
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+    encoder_layer_drop: 0.05
+model: torchaudio
+model_conf: {}
+required:
+- output_dir
+- token_list
+version: '202209'
+distributed: true

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+espnet: '202209'
+files:
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+python: "3.9.15 (main, Nov 24 2022, 14:31:59) \n[GCC 11.2.0]"
+timestamp: 1673330431.175186
+torch: 1.13.0
+yaml_files:
+  train_config: exp/hubert_iter1_train_ssl_torchaudiohubert_base_960h_pretrain_it1_raw/config.yaml