import from zenodo

README.md

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+---
+tags:
+- espnet
+- audio
+- <add_more_tags>
+language: en
+datasets:
+- mini_librispeech
+license: cc-by-4.0
+---
+## ESPnet2 DIAR pretrained model 
+### `Yushi Ueda/mini_librispeech_diar_train_diar_raw_max_epoch20_valid.acc.best`
+♻️ Imported from https://zenodo.org/record/5264020/
+
+This model was trained by Yushi Ueda using mini_librispeech/diar1 recipe in [espnet](https://github.com/espnet/espnet/).
+### Demo: How to use in ESPnet2
+```python
+# coming soon
+```
+### 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 {Enrique Yalta Soplin} 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 Enrique Yalta Soplin 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/diar_train_diar_raw_max_epoch20/19epoch.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c133eb6c494ec800b8be6b6c14aa91e890af7b19488f36423a7d56105987f493
+size 4404388

exp/diar_train_diar_raw_max_epoch20/RESULTS.md

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+<!-- Generated by scripts/utils/show_diar_result.sh -->
+# RESULTS
+## Environments
+- date: `Wed Aug 25 23:29:07 EDT 2021`
+- python version: `3.7.11 (default, Jul 27 2021, 14:32:16)  [GCC 7.5.0]`
+- espnet version: `espnet 0.10.2a1`
+- pytorch version: `pytorch 1.9.0+cu102`
+- Git hash: `19bcd34f9395e01e54a97c4db5ecbcedb429dd92`
+  - Commit date: `Tue Aug 24 19:50:44 2021 -0400`
+
+## `diar_train_diar_raw_max_epoch20`
+### DER
+`dev_clean_2_ns2_beta2_500`
+
+|threshold_median_collar|DER|
+|---|---|
+|result_th0.3_med1_collar0.0|32.42|
+|result_th0.3_med11_collar0.0|32.03|
+|result_th0.4_med1_collar0.0|30.96|
+|result_th0.4_med11_collar0.0|30.26|
+|result_th0.5_med1_collar0.0|30.35|
+|result_th0.5_med11_collar0.0|29.37|
+|result_th0.6_med1_collar0.0|30.77|
+|result_th0.6_med11_collar0.0|29.52|
+|result_th0.7_med1_collar0.0|32.60|
+|result_th0.7_med11_collar0.0|31.03|

exp/diar_train_diar_raw_max_epoch20/config.yaml

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+config: conf/train_diar.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: chunk
+output_dir: exp/diar_train_diar_raw_max_epoch20
+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: 20
+patience: 3
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - acc
+    - max
+keep_nbest_models: 3
+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
+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: []
+num_iters_per_epoch: null
+batch_size: 16
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/diar_stats_8k/train/speech_shape
+- exp/diar_stats_8k/train/spk_labels_shape
+valid_shape_file:
+- exp/diar_stats_8k/valid/speech_shape
+- exp/diar_stats_8k/valid/spk_labels_shape
+batch_type: folded
+valid_batch_type: null
+fold_length:
+- 80000
+- 800
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 200000
+chunk_shift_ratio: 0.5
+num_cache_chunks: 64
+train_data_path_and_name_and_type:
+-   - dump/raw/simu/data/train_clean_5_ns2_beta2_500/wav.scp
+    - speech
+    - sound
+-   - dump/raw/simu/data/train_clean_5_ns2_beta2_500/espnet_rttm
+    - spk_labels
+    - rttm
+valid_data_path_and_name_and_type:
+-   - dump/raw/simu/data/dev_clean_2_ns2_beta2_500/wav.scp
+    - speech
+    - sound
+-   - dump/raw/simu/data/dev_clean_2_ns2_beta2_500/espnet_rttm
+    - spk_labels
+    - rttm
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.01
+scheduler: noamlr
+scheduler_conf:
+    warmup_steps: 1000
+num_spk: 2
+init: xavier_uniform
+input_size: null
+model_conf:
+    loss_type: pit
+use_preprocessor: true
+frontend: default
+frontend_conf:
+    fs: 8k
+    hop_length: 128
+normalize: global_mvn
+normalize_conf:
+    stats_file: exp/diar_stats_8k/train/feats_stats.npz
+encoder: transformer
+encoder_conf:
+    input_layer: linear
+    num_blocks: 2
+    linear_units: 512
+    dropout_rate: 0.1
+    output_size: 256
+    attention_heads: 4
+    attention_dropout_rate: 0.0
+decoder: linear
+decoder_conf: {}
+label_aggregator: label_aggregator
+label_aggregator_conf: {}
+required:
+- output_dir
+version: 0.10.2a1
+distributed: false

meta.yaml

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+espnet: 0.10.2a1
+files:
+  model_file: exp/diar_train_diar_raw_max_epoch20/19epoch.pth
+python: "3.7.11 (default, Jul 27 2021, 14:32:16) \n[GCC 7.5.0]"
+timestamp: 1629948586.911716
+torch: 1.9.0+cu102
+yaml_files:
+  train_config: exp/diar_train_diar_raw_max_epoch20/config.yaml