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--- |
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tags: |
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- espnet |
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- audio |
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- classification |
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language: en |
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datasets: |
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- bean |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 CLS model |
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### `espnet/BEATs-BEAN.Dogs` |
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This model was trained by Shikhar Bharadwaj using bean 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 9191aa59acc7d3ceaca1f48dcc8fbdad2e03484b |
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pip install -e . |
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cd egs2/bean/cls1 |
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/BEATs-BEAN.Dogs |
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``` |
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<!-- Generated by scripts/utils/show_cls_result.sh --> |
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# RESULTS |
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## Environments |
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- date: `Tue Jan 7 15:06:06 EST 2025` |
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- python version: `3.9.20 (main, Oct 3 2024, 07:27:41) [GCC 11.2.0]` |
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- espnet version: `espnet 202412` |
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- pytorch version: `pytorch 2.4.0` |
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- Git hash: `9191aa59acc7d3ceaca1f48dcc8fbdad2e03484b` |
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- Commit date: `Tue Jan 7 04:34:03 2025 -0500` |
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## cls_dogs.20250107.141123 |
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|Dataset|Metric|Value| |
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|---|---|---| |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mean_acc|96.72 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mAP|98.22 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|mean_auc|99.73 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|n_labels|10.00 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.dev/score|n_instances|122.00 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mean_acc|91.37 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mAP|97.46 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|mean_auc|99.80 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|n_labels|10.00 |
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/compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123/cls_dogs.test/score|n_instances|139.00 |
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## CLS config |
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<details><summary>expand</summary> |
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``` |
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config: conf/beats_dogs.yaml |
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print_config: false |
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log_level: INFO |
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drop_last_iter: false |
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dry_run: false |
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iterator_type: sequence |
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valid_iterator_type: null |
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output_dir: /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_dogs.20250107.141123 |
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ngpu: 1 |
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seed: 0 |
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num_workers: 2 |
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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: null |
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dist_rank: null |
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local_rank: 0 |
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dist_master_addr: null |
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dist_master_port: null |
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dist_launcher: null |
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multiprocessing_distributed: false |
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unused_parameters: true |
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sharded_ddp: false |
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use_deepspeed: false |
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deepspeed_config: null |
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cudnn_enabled: true |
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cudnn_benchmark: false |
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cudnn_deterministic: true |
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use_tf32: false |
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collect_stats: false |
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write_collected_feats: false |
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max_epoch: 250 |
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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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- acc |
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- max |
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keep_nbest_models: 1 |
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nbest_averaging_interval: 0 |
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grad_clip: 1 |
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grad_clip_type: 2.0 |
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grad_noise: false |
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accum_grad: 1 |
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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: false |
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log_interval: null |
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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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num_iters_per_epoch: null |
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batch_size: 32 |
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valid_batch_size: 32 |
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batch_bins: 1000000 |
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valid_batch_bins: null |
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category_sample_size: 10 |
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train_shape_file: |
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- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/speech_shape |
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- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/train/label_shape |
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valid_shape_file: |
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- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/speech_shape |
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- /compute/babel-11-13/sbharad2/beats_run/bean.dogs/exp/cls_stats_16k/valid/label_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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- 160000 |
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- 5 |
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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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- - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/wav.scp |
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- speech |
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- sound |
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- - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.train/text |
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- label |
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- text |
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valid_data_path_and_name_and_type: |
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- - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/wav.scp |
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- speech |
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- sound |
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- - /compute/babel-11-13/sbharad2/beats_run/bean.dogs/dump/dogs.dev/text |
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- label |
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- text |
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multi_task_dataset: false |
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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: adamw |
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optim_conf: |
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lr: 3.0e-05 |
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weight_decay: 0.01 |
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betas: |
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- 0.9 |
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- 0.98 |
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scheduler: cosineannealingwarmuprestarts |
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scheduler_conf: |
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first_cycle_steps: 95000 |
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warmup_steps: 8000 |
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max_lr: 3.0e-05 |
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min_lr: 5.0e-06 |
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token_list: |
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- Roodie |
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- Luke |
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- Mac |
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- Zoe |
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- Siggy |
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- Farley |
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- Freid |
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- Keri |
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- Rudy |
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- Louie |
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- <unk> |
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token_type: word |
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init: xavier_normal |
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input_size: 1 |
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use_preprocessor: true |
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frontend: null |
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frontend_conf: {} |
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specaug: null |
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specaug_conf: {} |
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normalize: null |
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normalize_conf: {} |
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preencoder: null |
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preencoder_conf: {} |
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encoder: beats |
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encoder_conf: |
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beats_ckpt_path: /compute/babel-13-33/sbharad2/models/BEATs/BEATs_iter3.pt |
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beats_config: |
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layer_wise_gradient_decay_ratio: 0.3 |
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encoder_layerdrop: 0.1 |
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dropout: 0.0 |
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use_weighted_representation: false |
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specaug_config: |
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apply_time_warp: true |
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apply_freq_mask: false |
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apply_time_mask: true |
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time_mask_width_ratio_range: |
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- 0 |
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- 0.06 |
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num_time_mask: 1 |
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roll_augment: true |
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roll_interval: 1 |
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decoder: linear |
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decoder_conf: {} |
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model: espnet |
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model_conf: |
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classification_type: multi-class |
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mixup_augmentation: false |
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lsm_weight: 0.1 |
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required: |
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- output_dir |
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- token_list |
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version: '202412' |
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distributed: false |
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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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``` |
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