Update model
Browse files- README.md +275 -3
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/39epoch.pth +3 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/RESULTS.md +17 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/config.yaml +184 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/backward_time.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/clip.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/eer.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/forward_time.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/gpu_max_cached_mem_GB.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/grad_norm.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/iter_time.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/loss.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/loss_scale.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/mindcf.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/n_trials.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/nontrg_mean.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/nontrg_std.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/optim0_lr0.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/optim_step_time.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/train_time.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/trg_mean.png +0 -0
- data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/trg_std.png +0 -0
- meta.yaml +8 -0
README.md
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---
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tags:
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- espnet
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- audio
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- speaker-recognition
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language: multilingual
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datasets:
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- TEMPLATE
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license: cc-by-4.0
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---
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## ESPnet2 SPK model
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### `espnet/rats_ska_wavlm_frozen`
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This model was trained by shimhz using TEMPLATE recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
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if you haven't done that already.
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```bash
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cd espnet
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git checkout 19787b1793eda2b4007aa5b2c4d03adf6c18abfb
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pip install -e .
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cd egs2/TEMPLATE/spk1
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/rats_ska_wavlm_frozen
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```
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date: 2024-10-04 17:09:51.822703
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- python version: 3.9.19 (main, May 6 2024, 19:43:03) [GCC 11.2.0]
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- espnet version: 202402
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- pytorch version: 1.13.1
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| | Mean | Std |
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|---|---|---|
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| Target | -1.0478 | 0.2006 |
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| Non-target | 0.1717 | 0.1717 |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/train_SKA_wavlm_frozen | 19.728 | 0.92968 |
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## SPK config
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<details><summary>expand</summary>
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```
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config: conf/train_SKA_wavlm_frozen.yaml
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print_config: false
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log_level: INFO
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drop_last_iter: true
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dry_run: false
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iterator_type: category
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valid_iterator_type: sequence
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output_dir: exp/spk_train_SKA_wavlm_frozen_raw_copy
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ngpu: 1
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seed: 0
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num_workers: 6
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num_att_plot: 0
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: 2
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dist_rank: 0
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local_rank: 0
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dist_master_addr: localhost
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dist_master_port: 57255
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dist_launcher: null
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multiprocessing_distributed: true
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unused_parameters: false
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: true
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cudnn_deterministic: false
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collect_stats: false
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write_collected_feats: false
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max_epoch: 40
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patience: null
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val_scheduler_criterion:
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- valid
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- loss
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early_stopping_criterion:
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- valid
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- loss
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- min
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best_model_criterion:
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- - valid
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- eer
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- min
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keep_nbest_models: 3
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nbest_averaging_interval: 0
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grad_clip: 9999
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grad_clip_type: 2.0
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grad_noise: false
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accum_grad: 8
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no_forward_run: false
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resume: true
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train_dtype: float32
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use_amp: true
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log_interval: 100
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use_matplotlib: true
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use_tensorboard: true
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create_graph_in_tensorboard: false
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use_wandb: false
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wandb_project: null
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wandb_id: null
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wandb_entity: null
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wandb_name: null
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wandb_model_log_interval: -1
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detect_anomaly: false
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use_adapter: false
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adapter: lora
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save_strategy: all
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adapter_conf: {}
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pretrain_path: null
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init_param: []
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ignore_init_mismatch: false
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freeze_param:
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- frontend.upstream
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num_iters_per_epoch: null
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batch_size: 64
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valid_batch_size: 5
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batch_bins: 1000000
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valid_batch_bins: null
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train_shape_file:
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- exp/spk_stats_16k/train/speech_shape
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valid_shape_file:
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- exp/spk_stats_16k/valid/speech_shape
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batch_type: folded
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valid_batch_type: null
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fold_length:
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- 120000
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sort_in_batch: descending
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shuffle_within_batch: false
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sort_batch: descending
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multiple_iterator: false
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chunk_length: 500
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chunk_shift_ratio: 0.5
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num_cache_chunks: 1024
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chunk_excluded_key_prefixes: []
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chunk_default_fs: null
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chunk_max_abs_length: null
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chunk_discard_short_samples: true
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train_data_path_and_name_and_type:
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- - dump/raw_copy/rats_train/wav.scp
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- speech
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- sound
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- - dump/raw_copy/rats_train/utt2spk
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- spk_labels
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- text
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valid_data_path_and_name_and_type:
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- - dump/raw_copy/rats_test/trial.scp
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- speech
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- sound
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- - dump/raw_copy/rats_test/trial2.scp
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- speech2
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- sound
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- - dump/raw_copy/rats_test/trial_label
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- spk_labels
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- text
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allow_variable_data_keys: false
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max_cache_size: 0.0
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max_cache_fd: 32
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allow_multi_rates: false
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valid_max_cache_size: null
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exclude_weight_decay: false
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exclude_weight_decay_conf: {}
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optim: adam
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optim_conf:
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lr: 0.001
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weight_decay: 5.0e-05
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amsgrad: false
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scheduler: cosineannealingwarmuprestarts
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scheduler_conf:
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first_cycle_steps: 71280
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cycle_mult: 1.0
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max_lr: 0.001
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min_lr: 5.0e-06
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warmup_steps: 1000
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gamma: 0.75
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init: null
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use_preprocessor: true
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input_size: null
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target_duration: 3.0
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spk2utt: dump/raw_copy/rats_train/spk2utt
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spk_num: 5903
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sample_rate: 16000
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num_eval: 10
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rir_scp: ''
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model_conf:
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extract_feats_in_collect_stats: false
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frontend: s3prl
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frontend_conf:
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frontend_conf:
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upstream: wavlm_large
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download_dir: ./hub
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multilayer_feature: true
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specaug: null
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specaug_conf: {}
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normalize: utterance_mvn
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normalize_conf:
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norm_vars: false
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encoder: ska_tdnn
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encoder_conf:
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model_scale: 8
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ndim: 1024
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ska_dim: 128
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output_size: 1536
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pooling: chn_attn_stat
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pooling_conf: {}
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projector: ska_tdnn
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projector_conf:
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output_size: 192
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preprocessor: spk
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preprocessor_conf:
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target_duration: 3.0
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sample_rate: 16000
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num_eval: 5
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noise_apply_prob: 0.0
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noise_info: null
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rir_apply_prob: 0.0
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loss: aamsoftmax_sc_topk
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loss_conf:
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margin: 0.3
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scale: 30
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K: 3
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mp: 0.06
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k_top: 5
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required:
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- output_dir
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version: '202402'
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distributed: true
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```
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</details>
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### Citing ESPnet
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```BibTex
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@inproceedings{watanabe2018espnet,
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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},
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title={{ESPnet}: End-to-End Speech Processing Toolkit},
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year={2018},
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booktitle={Proceedings of Interspeech},
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pages={2207--2211},
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doi={10.21437/Interspeech.2018-1456},
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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}
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```
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or arXiv:
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```bibtex
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@misc{watanabe2018espnet,
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title={ESPnet: End-to-End Speech Processing Toolkit},
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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},
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year={2018},
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eprint={1804.00015},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
|
data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/39epoch.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:1f5396bf6b1f61acde15e63c8d1e677fb5392d81d253a4ec31045e409c4c4647
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size 2038644970
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/RESULTS.md
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<!-- Generated by scripts/utils/show_spk_result.py -->
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# RESULTS
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## Environments
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date: 2024-10-04 17:09:51.822703
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- python version: 3.9.19 (main, May 6 2024, 19:43:03) [GCC 11.2.0]
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- espnet version: 202402
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- pytorch version: 1.13.1
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| | Mean | Std |
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|---|---|---|
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| Target | -1.0478 | 0.2006 |
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| Non-target | 0.1717 | 0.1717 |
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| Model name | EER(%) | minDCF |
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|---|---|---|
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| conf/train_SKA_wavlm_frozen | 19.728 | 0.92968 |
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/config.yaml
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config: conf/train_SKA_wavlm_frozen.yaml
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2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
drop_last_iter: true
|
5 |
+
dry_run: false
|
6 |
+
iterator_type: category
|
7 |
+
valid_iterator_type: sequence
|
8 |
+
output_dir: exp/spk_train_SKA_wavlm_frozen_raw_copy
|
9 |
+
ngpu: 1
|
10 |
+
seed: 0
|
11 |
+
num_workers: 6
|
12 |
+
num_att_plot: 0
|
13 |
+
dist_backend: nccl
|
14 |
+
dist_init_method: env://
|
15 |
+
dist_world_size: 2
|
16 |
+
dist_rank: 0
|
17 |
+
local_rank: 0
|
18 |
+
dist_master_addr: localhost
|
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+
dist_master_port: 57255
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+
dist_launcher: null
|
21 |
+
multiprocessing_distributed: true
|
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+
unused_parameters: false
|
23 |
+
sharded_ddp: false
|
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+
cudnn_enabled: true
|
25 |
+
cudnn_benchmark: true
|
26 |
+
cudnn_deterministic: false
|
27 |
+
collect_stats: false
|
28 |
+
write_collected_feats: false
|
29 |
+
max_epoch: 40
|
30 |
+
patience: null
|
31 |
+
val_scheduler_criterion:
|
32 |
+
- valid
|
33 |
+
- loss
|
34 |
+
early_stopping_criterion:
|
35 |
+
- valid
|
36 |
+
- loss
|
37 |
+
- min
|
38 |
+
best_model_criterion:
|
39 |
+
- - valid
|
40 |
+
- eer
|
41 |
+
- min
|
42 |
+
keep_nbest_models: 3
|
43 |
+
nbest_averaging_interval: 0
|
44 |
+
grad_clip: 9999
|
45 |
+
grad_clip_type: 2.0
|
46 |
+
grad_noise: false
|
47 |
+
accum_grad: 8
|
48 |
+
no_forward_run: false
|
49 |
+
resume: true
|
50 |
+
train_dtype: float32
|
51 |
+
use_amp: true
|
52 |
+
log_interval: 100
|
53 |
+
use_matplotlib: true
|
54 |
+
use_tensorboard: true
|
55 |
+
create_graph_in_tensorboard: false
|
56 |
+
use_wandb: false
|
57 |
+
wandb_project: null
|
58 |
+
wandb_id: null
|
59 |
+
wandb_entity: null
|
60 |
+
wandb_name: null
|
61 |
+
wandb_model_log_interval: -1
|
62 |
+
detect_anomaly: false
|
63 |
+
use_adapter: false
|
64 |
+
adapter: lora
|
65 |
+
save_strategy: all
|
66 |
+
adapter_conf: {}
|
67 |
+
pretrain_path: null
|
68 |
+
init_param: []
|
69 |
+
ignore_init_mismatch: false
|
70 |
+
freeze_param:
|
71 |
+
- frontend.upstream
|
72 |
+
num_iters_per_epoch: null
|
73 |
+
batch_size: 64
|
74 |
+
valid_batch_size: 5
|
75 |
+
batch_bins: 1000000
|
76 |
+
valid_batch_bins: null
|
77 |
+
train_shape_file:
|
78 |
+
- exp/spk_stats_16k/train/speech_shape
|
79 |
+
valid_shape_file:
|
80 |
+
- exp/spk_stats_16k/valid/speech_shape
|
81 |
+
batch_type: folded
|
82 |
+
valid_batch_type: null
|
83 |
+
fold_length:
|
84 |
+
- 120000
|
85 |
+
sort_in_batch: descending
|
86 |
+
shuffle_within_batch: false
|
87 |
+
sort_batch: descending
|
88 |
+
multiple_iterator: false
|
89 |
+
chunk_length: 500
|
90 |
+
chunk_shift_ratio: 0.5
|
91 |
+
num_cache_chunks: 1024
|
92 |
+
chunk_excluded_key_prefixes: []
|
93 |
+
chunk_default_fs: null
|
94 |
+
chunk_max_abs_length: null
|
95 |
+
chunk_discard_short_samples: true
|
96 |
+
train_data_path_and_name_and_type:
|
97 |
+
- - dump/raw_copy/rats_train/wav.scp
|
98 |
+
- speech
|
99 |
+
- sound
|
100 |
+
- - dump/raw_copy/rats_train/utt2spk
|
101 |
+
- spk_labels
|
102 |
+
- text
|
103 |
+
valid_data_path_and_name_and_type:
|
104 |
+
- - dump/raw_copy/rats_test/trial.scp
|
105 |
+
- speech
|
106 |
+
- sound
|
107 |
+
- - dump/raw_copy/rats_test/trial2.scp
|
108 |
+
- speech2
|
109 |
+
- sound
|
110 |
+
- - dump/raw_copy/rats_test/trial_label
|
111 |
+
- spk_labels
|
112 |
+
- text
|
113 |
+
allow_variable_data_keys: false
|
114 |
+
max_cache_size: 0.0
|
115 |
+
max_cache_fd: 32
|
116 |
+
allow_multi_rates: false
|
117 |
+
valid_max_cache_size: null
|
118 |
+
exclude_weight_decay: false
|
119 |
+
exclude_weight_decay_conf: {}
|
120 |
+
optim: adam
|
121 |
+
optim_conf:
|
122 |
+
lr: 0.001
|
123 |
+
weight_decay: 5.0e-05
|
124 |
+
amsgrad: false
|
125 |
+
scheduler: cosineannealingwarmuprestarts
|
126 |
+
scheduler_conf:
|
127 |
+
first_cycle_steps: 71280
|
128 |
+
cycle_mult: 1.0
|
129 |
+
max_lr: 0.001
|
130 |
+
min_lr: 5.0e-06
|
131 |
+
warmup_steps: 1000
|
132 |
+
gamma: 0.75
|
133 |
+
init: null
|
134 |
+
use_preprocessor: true
|
135 |
+
input_size: null
|
136 |
+
target_duration: 3.0
|
137 |
+
spk2utt: dump/raw_copy/rats_train/spk2utt
|
138 |
+
spk_num: 5903
|
139 |
+
sample_rate: 16000
|
140 |
+
num_eval: 10
|
141 |
+
rir_scp: ''
|
142 |
+
model_conf:
|
143 |
+
extract_feats_in_collect_stats: false
|
144 |
+
frontend: s3prl
|
145 |
+
frontend_conf:
|
146 |
+
frontend_conf:
|
147 |
+
upstream: wavlm_large
|
148 |
+
download_dir: ./hub
|
149 |
+
multilayer_feature: true
|
150 |
+
specaug: null
|
151 |
+
specaug_conf: {}
|
152 |
+
normalize: utterance_mvn
|
153 |
+
normalize_conf:
|
154 |
+
norm_vars: false
|
155 |
+
encoder: ska_tdnn
|
156 |
+
encoder_conf:
|
157 |
+
model_scale: 8
|
158 |
+
ndim: 1024
|
159 |
+
ska_dim: 128
|
160 |
+
output_size: 1536
|
161 |
+
pooling: chn_attn_stat
|
162 |
+
pooling_conf: {}
|
163 |
+
projector: ska_tdnn
|
164 |
+
projector_conf:
|
165 |
+
output_size: 192
|
166 |
+
preprocessor: spk
|
167 |
+
preprocessor_conf:
|
168 |
+
target_duration: 3.0
|
169 |
+
sample_rate: 16000
|
170 |
+
num_eval: 5
|
171 |
+
noise_apply_prob: 0.0
|
172 |
+
noise_info: null
|
173 |
+
rir_apply_prob: 0.0
|
174 |
+
loss: aamsoftmax_sc_topk
|
175 |
+
loss_conf:
|
176 |
+
margin: 0.3
|
177 |
+
scale: 30
|
178 |
+
K: 3
|
179 |
+
mp: 0.06
|
180 |
+
k_top: 5
|
181 |
+
required:
|
182 |
+
- output_dir
|
183 |
+
version: '202402'
|
184 |
+
distributed: true
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/backward_time.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/clip.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/eer.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/forward_time.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/gpu_max_cached_mem_GB.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/grad_norm.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/iter_time.png
ADDED
![]() |
data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/loss.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/loss_scale.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/mindcf.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/n_trials.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/nontrg_mean.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/nontrg_std.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/optim0_lr0.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/optim_step_time.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/train_time.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/trg_mean.png
ADDED
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data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/images/trg_std.png
ADDED
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meta.yaml
ADDED
@@ -0,0 +1,8 @@
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|
|
|
|
|
1 |
+
espnet: '202402'
|
2 |
+
files:
|
3 |
+
model_file: /data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/39epoch.pth
|
4 |
+
python: "3.9.19 (main, May 6 2024, 19:43:03) \n[GCC 11.2.0]"
|
5 |
+
timestamp: 1731353333.451125
|
6 |
+
torch: 1.13.1
|
7 |
+
yaml_files:
|
8 |
+
train_config: /data/user_data/hyejinsh/exp_rats_spk1/spk_train_SKA_wavlm_frozen_raw_copy_sp/config.yaml
|