“siddhu001”
commited on
Commit
·
02017ac
1
Parent(s):
05f2fdd
Update model
Browse files- README.md +800 -0
- data/en_token_list/bpe_unigram500/bpe.model +3 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/RESULTS.md +2 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/config.yaml +727 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/acc.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/backward_time.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/cer.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/clip.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/forward_time.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/grad_norm.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/iter_time.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/loss.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/loss_att.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/loss_scale.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/optim0_lr0.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/optim_step_time.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/train_time.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/wer.png +0 -0
- exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/valid.acc.ave_10best.pth +3 -0
- meta.yaml +8 -0
README.md
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license: cc-by-4.0
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---
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+
tags:
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- espnet
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- audio
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- automatic-speech-recognition
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language: en
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datasets:
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- slue-ted
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license: cc-by-4.0
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---
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## ESPnet2 ASR model
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+
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### `espnet/slueted_whisper_summ`
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+
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This model was trained by “siddhu001” using slue-ted recipe in [espnet](https://github.com/espnet/espnet/).
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+
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+
### Demo: How to use in ESPnet2
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+
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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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+
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+
```bash
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cd espnet
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git checkout e23ef85f0b3116ad5c60d0833f186da0deec0734
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pip install -e .
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cd egs2/slue-ted/slu1
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/slueted_whisper_summ
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+
```
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+
{'rouge1': 0.2255418629519756, 'rouge2': 0.0485061537185737, 'rougeL': 0.1596465851004139, 'rougeLsum': 0.15968116069467322, 'meteor': 0.2129616261465529}
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RESULT 22.55418629519756 3.799127541421444e-132 15.96465851004139 21.29616261465529 83.78519008627457
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+
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+
## ASR config
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+
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<details><summary>expand</summary>
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+
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+
```
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config: conf//train_asr_whisper_weighted_conv2d2.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: exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp
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+
ngpu: 1
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+
seed: 2022
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+
num_workers: 2
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+
num_att_plot: 3
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+
dist_backend: nccl
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+
dist_init_method: env://
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+
dist_world_size: 4
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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: 42635
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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: false
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+
cudnn_deterministic: true
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+
collect_stats: false
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+
write_collected_feats: false
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+
max_epoch: 25
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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: 10
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+
nbest_averaging_interval: 0
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+
grad_clip: 5.0
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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: 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_lora: false
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+
save_lora_only: true
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+
lora_conf: {}
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+
pretrain_path: null
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+
init_param:
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+
- /scratch/bbjs/arora1/espnet_slue_PR/espnet/egs2/tedlium3/asr1/exp/asr_train_asr_whisper_weighted_conv2d2_raw_en_bpe500/valid.acc.ave_10best.pth:::ctc
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ignore_init_mismatch: false
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+
freeze_param:
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+
- encoder
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+
num_iters_per_epoch: null
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+
batch_size: 20
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+
valid_batch_size: null
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+
batch_bins: 12000000
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+
valid_batch_bins: null
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+
train_shape_file:
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+
- exp/slu_stats_raw_en_bpe500_sp/train/speech_shape
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+
- exp/slu_stats_raw_en_bpe500_sp/train/text_shape.bpe
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| 118 |
+
valid_shape_file:
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- exp/slu_stats_raw_en_bpe500_sp/valid/speech_shape
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| 120 |
+
- exp/slu_stats_raw_en_bpe500_sp/valid/text_shape.bpe
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| 121 |
+
batch_type: numel
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| 122 |
+
valid_batch_type: null
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+
fold_length:
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+
- 80000
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+
- 150
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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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+
train_data_path_and_name_and_type:
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- - dump/raw/train_sp/wav.scp
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+
- speech
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+
- kaldi_ark
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+
- - dump/raw/train_sp/text
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+
- text
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+
- text
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+
valid_data_path_and_name_and_type:
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+
- - dump/raw/devel/wav.scp
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+
- speech
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+
- kaldi_ark
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+
- - dump/raw/devel/text
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| 147 |
+
- text
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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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| 153 |
+
valid_max_cache_size: null
|
| 154 |
+
exclude_weight_decay: false
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| 155 |
+
exclude_weight_decay_conf: {}
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+
optim: adam
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+
optim_conf:
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+
lr: 0.002
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+
weight_decay: 1.0e-06
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+
scheduler: warmuplr
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+
scheduler_conf:
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+
warmup_steps: 5000
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+
token_list:
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+
- <blank>
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+
- <unk>
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+
- '[sep]'
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+
- '"'
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+
- s
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+
- ▁
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+
- ▁the
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+
- ','
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+
- t
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+
- d
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+
- ▁a
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+
- .
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+
- ing
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+
- o
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+
- e
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+
- ▁to
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+
- a
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+
- ▁and
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+
- y
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+
- n
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+
- ▁of
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+
- r
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+
- ▁in
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+
- u
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+
- i
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+
- m
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+
- p
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+
- c
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+
- er
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+
- g
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+
- l
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+
- al
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+
- re
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+
- ed
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+
- b
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- ''''
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+
- ar
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+
- k
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+
- in
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+
- f
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+
- ▁"
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+
- le
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+
- 'on'
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+
- v
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+
- or
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+
- th
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+
- '-'
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+
- ▁c
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+
- en
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+
- ▁f
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+
- ▁--
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+
- ▁we
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+
- ▁for
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+
- ▁how
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+
- ly
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+
- ▁re
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+
- se
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+
- ▁that
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+
- es
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+
- w
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+
- ic
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+
- st
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+
- ▁w
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+
- ▁be
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+
- ri
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+
- an
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+
- ra
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+
- ve
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+
- ce
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+
- ur
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+
- ▁by
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+
- ▁it
|
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+
- li
|
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+
- ▁de
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+
- '?'
|
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+
- it
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+
- ch
|
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+
- ent
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+
- ▁is
|
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+
- ter
|
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+
- el
|
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+
- ▁on
|
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+
- ▁e
|
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+
- ▁he
|
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+
- ▁co
|
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+
- ▁an
|
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+
- ▁ma
|
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+
- ▁st
|
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+
- ll
|
| 253 |
+
- ▁with
|
| 254 |
+
- ▁can
|
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+
- il
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+
- ▁you
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+
- ▁us
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+
- ation
|
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+
- te
|
| 260 |
+
- ▁this
|
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+
- ▁b
|
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+
- ▁do
|
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+
- ▁g
|
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+
- me
|
| 265 |
+
- ▁what
|
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+
- ck
|
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+
- ▁from
|
| 268 |
+
- ate
|
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+
- ▁p
|
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+
- z
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+
- la
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+
- ▁mo
|
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+
- ▁di
|
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+
- ive
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+
- mp
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+
- ▁talk
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+
- ity
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+
- vi
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+
- ta
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+
- at
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+
- ge
|
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+
- ▁tr
|
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+
- ▁she
|
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+
- ▁our
|
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+
- ▁pa
|
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+
- ci
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+
- et
|
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+
- h
|
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+
- ▁su
|
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+
- ver
|
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+
- ▁world
|
| 292 |
+
- pe
|
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+
- ▁about
|
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+
- ▁me
|
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+
- ▁so
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+
- and
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+
- ▁con
|
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+
- tion
|
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+
- de
|
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+
- ir
|
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+
- ▁her
|
| 302 |
+
- im
|
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+
- ':'
|
| 304 |
+
- ▁his
|
| 305 |
+
- ies
|
| 306 |
+
- ▁po
|
| 307 |
+
- ▁are
|
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+
- ect
|
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+
- lo
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+
- ▁your
|
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+
- un
|
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+
- ist
|
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+
- hi
|
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+
- ▁mi
|
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+
- x
|
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+
- id
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+
- ment
|
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+
- ol
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+
- ul
|
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+
- ti
|
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+
- ne
|
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+
- qu
|
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+
- ▁but
|
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+
- ▁ca
|
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+
- ▁fa
|
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+
- ▁as
|
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+
- ▁un
|
| 328 |
+
- ers
|
| 329 |
+
- ight
|
| 330 |
+
- ▁says
|
| 331 |
+
- '0'
|
| 332 |
+
- ng
|
| 333 |
+
- op
|
| 334 |
+
- '1'
|
| 335 |
+
- ▁k
|
| 336 |
+
- ad
|
| 337 |
+
- j
|
| 338 |
+
- ma
|
| 339 |
+
- ▁pro
|
| 340 |
+
- ▁work
|
| 341 |
+
- ▁ba
|
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+
- ▁share
|
| 343 |
+
- ▁new
|
| 344 |
+
- ▁more
|
| 345 |
+
- ▁vi
|
| 346 |
+
- ▁sa
|
| 347 |
+
- ▁at
|
| 348 |
+
- ▁la
|
| 349 |
+
- ut
|
| 350 |
+
- bi
|
| 351 |
+
- sion
|
| 352 |
+
- ▁ho
|
| 353 |
+
- na
|
| 354 |
+
- act
|
| 355 |
+
- age
|
| 356 |
+
- ke
|
| 357 |
+
- if
|
| 358 |
+
- ▁bo
|
| 359 |
+
- ▁br
|
| 360 |
+
- ▁ha
|
| 361 |
+
- ▁no
|
| 362 |
+
- co
|
| 363 |
+
- ▁lo
|
| 364 |
+
- mi
|
| 365 |
+
- ▁make
|
| 366 |
+
- ▁people
|
| 367 |
+
- ▁why
|
| 368 |
+
- ant
|
| 369 |
+
- ▁their
|
| 370 |
+
- ▁i
|
| 371 |
+
- ▁life
|
| 372 |
+
- ▁all
|
| 373 |
+
- ting
|
| 374 |
+
- ▁human
|
| 375 |
+
- ▁have
|
| 376 |
+
- om
|
| 377 |
+
- )
|
| 378 |
+
- ▁(
|
| 379 |
+
- ▁help
|
| 380 |
+
- ▁ted
|
| 381 |
+
- wa
|
| 382 |
+
- sh
|
| 383 |
+
- ▁da
|
| 384 |
+
- ▁le
|
| 385 |
+
- ▁out
|
| 386 |
+
- ph
|
| 387 |
+
- ical
|
| 388 |
+
- ▁way
|
| 389 |
+
- ff
|
| 390 |
+
- ▁ro
|
| 391 |
+
- able
|
| 392 |
+
- ▁some
|
| 393 |
+
- est
|
| 394 |
+
- ure
|
| 395 |
+
- em
|
| 396 |
+
- ho
|
| 397 |
+
- ▁ex
|
| 398 |
+
- gen
|
| 399 |
+
- ha
|
| 400 |
+
- ia
|
| 401 |
+
- ine
|
| 402 |
+
- ▁into
|
| 403 |
+
- ca
|
| 404 |
+
- ▁was
|
| 405 |
+
- ▁who
|
| 406 |
+
- ther
|
| 407 |
+
- ▁they
|
| 408 |
+
- ow
|
| 409 |
+
- he
|
| 410 |
+
- ▁one
|
| 411 |
+
- ▁when
|
| 412 |
+
- form
|
| 413 |
+
- ▁pre
|
| 414 |
+
- ni
|
| 415 |
+
- ▁could
|
| 416 |
+
- ▁like
|
| 417 |
+
- ▁per
|
| 418 |
+
- ▁up
|
| 419 |
+
- ance
|
| 420 |
+
- com
|
| 421 |
+
- ▁go
|
| 422 |
+
- ion
|
| 423 |
+
- tor
|
| 424 |
+
- ▁fe
|
| 425 |
+
- ▁ra
|
| 426 |
+
- ▁or
|
| 427 |
+
- ▁en
|
| 428 |
+
- ▁change
|
| 429 |
+
- tic
|
| 430 |
+
- ▁every
|
| 431 |
+
- ▁jo
|
| 432 |
+
- ence
|
| 433 |
+
- ▁not
|
| 434 |
+
- ▁art
|
| 435 |
+
- one
|
| 436 |
+
- use
|
| 437 |
+
- ous
|
| 438 |
+
- ▁plan
|
| 439 |
+
- ▁music
|
| 440 |
+
- ▁exp
|
| 441 |
+
- und
|
| 442 |
+
- ▁ne
|
| 443 |
+
- um
|
| 444 |
+
- ative
|
| 445 |
+
- pp
|
| 446 |
+
- ▁need
|
| 447 |
+
- tro
|
| 448 |
+
- directed
|
| 449 |
+
- ▁learn
|
| 450 |
+
- ▁narrate
|
| 451 |
+
- ▁has
|
| 452 |
+
- lar
|
| 453 |
+
- '].'
|
| 454 |
+
- man
|
| 455 |
+
- ▁car
|
| 456 |
+
- ▁future
|
| 457 |
+
- ▁real
|
| 458 |
+
- ▁time
|
| 459 |
+
- ize
|
| 460 |
+
- ▁live
|
| 461 |
+
- ber
|
| 462 |
+
- ▁mar
|
| 463 |
+
- ▁ga
|
| 464 |
+
- ▁take
|
| 465 |
+
- ▁dr
|
| 466 |
+
- ful
|
| 467 |
+
- ▁get
|
| 468 |
+
- ▁shows
|
| 469 |
+
- day
|
| 470 |
+
- ▁cha
|
| 471 |
+
- ▁than
|
| 472 |
+
- ▁know
|
| 473 |
+
- ian
|
| 474 |
+
- ▁see
|
| 475 |
+
- ▁just
|
| 476 |
+
- '2'
|
| 477 |
+
- ▁other
|
| 478 |
+
- old
|
| 479 |
+
- ▁design
|
| 480 |
+
- ▁chi
|
| 481 |
+
- ▁build
|
| 482 |
+
- ious
|
| 483 |
+
- ▁most
|
| 484 |
+
- ▁si
|
| 485 |
+
- ▁will
|
| 486 |
+
- ▁power
|
| 487 |
+
- ▁think
|
| 488 |
+
- port
|
| 489 |
+
- ▁over
|
| 490 |
+
- ▁ja
|
| 491 |
+
- ish
|
| 492 |
+
- ▁climate
|
| 493 |
+
- ▁sha
|
| 494 |
+
- ▁through
|
| 495 |
+
- less
|
| 496 |
+
- '3'
|
| 497 |
+
- ▁my
|
| 498 |
+
- ▁where
|
| 499 |
+
- ▁global
|
| 500 |
+
- ▁health
|
| 501 |
+
- ▁pri
|
| 502 |
+
- ▁20
|
| 503 |
+
- ▁story
|
| 504 |
+
- gu
|
| 505 |
+
- ugh
|
| 506 |
+
- ▁create
|
| 507 |
+
- ▁look
|
| 508 |
+
- ▁trans
|
| 509 |
+
- ▁har
|
| 510 |
+
- ▁even
|
| 511 |
+
- ▁part
|
| 512 |
+
- ▁years
|
| 513 |
+
- ▁lead
|
| 514 |
+
- side
|
| 515 |
+
- low
|
| 516 |
+
- long
|
| 517 |
+
- ▁technolog
|
| 518 |
+
- ness
|
| 519 |
+
- '5'
|
| 520 |
+
- ▁call
|
| 521 |
+
- ▁sc
|
| 522 |
+
- ▁system
|
| 523 |
+
- '9'
|
| 524 |
+
- line
|
| 525 |
+
- ▁brain
|
| 526 |
+
- ▁data
|
| 527 |
+
- ▁own
|
| 528 |
+
- ition
|
| 529 |
+
- ▁explains
|
| 530 |
+
- ▁tell
|
| 531 |
+
- ▁explore
|
| 532 |
+
- ▁start
|
| 533 |
+
- ▁ru
|
| 534 |
+
- ▁which
|
| 535 |
+
- ▁anderson
|
| 536 |
+
- ▁find
|
| 537 |
+
- ▁hu
|
| 538 |
+
- ▁women
|
| 539 |
+
- ▁better
|
| 540 |
+
- ▁idea
|
| 541 |
+
- ▁history
|
| 542 |
+
- ▁research
|
| 543 |
+
- ▁science
|
| 544 |
+
- ism
|
| 545 |
+
- ▁first
|
| 546 |
+
- ▁grow
|
| 547 |
+
- ▁right
|
| 548 |
+
- clu
|
| 549 |
+
- ▁space
|
| 550 |
+
- ▁develop
|
| 551 |
+
- ▁problem
|
| 552 |
+
- ▁two
|
| 553 |
+
- ▁earth
|
| 554 |
+
- ologist
|
| 555 |
+
- ▁many
|
| 556 |
+
- ▁should
|
| 557 |
+
- ▁three
|
| 558 |
+
- ▁fellow
|
| 559 |
+
- ▁social
|
| 560 |
+
- ▁africa
|
| 561 |
+
- ▁...
|
| 562 |
+
- '4'
|
| 563 |
+
- ▁addis
|
| 564 |
+
- ▁powerful
|
| 565 |
+
- ▁found
|
| 566 |
+
- ▁under
|
| 567 |
+
- ▁understand
|
| 568 |
+
- ▁after
|
| 569 |
+
- ▁stories
|
| 570 |
+
- ▁around
|
| 571 |
+
- ▁personal
|
| 572 |
+
- ▁project
|
| 573 |
+
- ▁between
|
| 574 |
+
- ▁question
|
| 575 |
+
- ▁play
|
| 576 |
+
- ▁scientist
|
| 577 |
+
- ▁happen
|
| 578 |
+
- ▁good
|
| 579 |
+
- ▁produc
|
| 580 |
+
- ▁experience
|
| 581 |
+
- ▁step
|
| 582 |
+
- ▁america
|
| 583 |
+
- '8'
|
| 584 |
+
- ▁great
|
| 585 |
+
- ▁down
|
| 586 |
+
- ▁high
|
| 587 |
+
- ▁would
|
| 588 |
+
- ▁turn
|
| 589 |
+
- ▁surprising
|
| 590 |
+
- ▁imagin
|
| 591 |
+
- ▁teach
|
| 592 |
+
- cross
|
| 593 |
+
- ▁place
|
| 594 |
+
- ▁medic
|
| 595 |
+
- ▁million
|
| 596 |
+
- ▁things
|
| 597 |
+
- '7'
|
| 598 |
+
- ▁reveal
|
| 599 |
+
- ▁without
|
| 600 |
+
- ▁challenge
|
| 601 |
+
- ▁next
|
| 602 |
+
- ▁each
|
| 603 |
+
- ▁studio
|
| 604 |
+
- organ
|
| 605 |
+
- '6'
|
| 606 |
+
- ▁business
|
| 607 |
+
- ▁much
|
| 608 |
+
- ▁show
|
| 609 |
+
- ▁conversation
|
| 610 |
+
- ▁energy
|
| 611 |
+
- ▁school
|
| 612 |
+
- ▁ocean
|
| 613 |
+
- ▁while
|
| 614 |
+
- source
|
| 615 |
+
- ization
|
| 616 |
+
- ▁break
|
| 617 |
+
- ▁robot
|
| 618 |
+
- ▁disease
|
| 619 |
+
- ▁behind
|
| 620 |
+
- ability
|
| 621 |
+
- ▁team
|
| 622 |
+
- ▁chris
|
| 623 |
+
- ▁become
|
| 624 |
+
- ▁solution
|
| 625 |
+
- ▁protect
|
| 626 |
+
- ▁collect
|
| 627 |
+
- ▁different
|
| 628 |
+
- ▁those
|
| 629 |
+
- ▁connect
|
| 630 |
+
- ▁architect
|
| 631 |
+
- ▁language
|
| 632 |
+
- ▁simple
|
| 633 |
+
- ▁solve
|
| 634 |
+
- ▁before
|
| 635 |
+
- ▁community
|
| 636 |
+
- ▁country
|
| 637 |
+
- ▁secret
|
| 638 |
+
- ▁keep
|
| 639 |
+
- ▁food
|
| 640 |
+
- ▁thought
|
| 641 |
+
- ▁discover
|
| 642 |
+
- ▁environment
|
| 643 |
+
- ▁government
|
| 644 |
+
- ▁public
|
| 645 |
+
- ;
|
| 646 |
+
- '!'
|
| 647 |
+
- /
|
| 648 |
+
- q
|
| 649 |
+
- '%'
|
| 650 |
+
- '@'
|
| 651 |
+
- ']'
|
| 652 |
+
- +
|
| 653 |
+
- '&'
|
| 654 |
+
- '|'
|
| 655 |
+
- _
|
| 656 |
+
- (
|
| 657 |
+
- '"'
|
| 658 |
+
- $
|
| 659 |
+
- '*'
|
| 660 |
+
- '='
|
| 661 |
+
- '['
|
| 662 |
+
- '`'
|
| 663 |
+
- <sos/eos>
|
| 664 |
+
transcript_token_list: null
|
| 665 |
+
two_pass: false
|
| 666 |
+
pre_postencoder_norm: false
|
| 667 |
+
init: null
|
| 668 |
+
input_size: 1
|
| 669 |
+
ctc_conf:
|
| 670 |
+
dropout_rate: 0.0
|
| 671 |
+
ctc_type: builtin
|
| 672 |
+
reduce: true
|
| 673 |
+
ignore_nan_grad: null
|
| 674 |
+
zero_infinity: true
|
| 675 |
+
brctc_risk_strategy: exp
|
| 676 |
+
brctc_group_strategy: end
|
| 677 |
+
brctc_risk_factor: 0.0
|
| 678 |
+
joint_net_conf: null
|
| 679 |
+
use_preprocessor: true
|
| 680 |
+
token_type: bpe
|
| 681 |
+
bpemodel: data/en_token_list/bpe_unigram500/bpe.model
|
| 682 |
+
non_linguistic_symbols: null
|
| 683 |
+
cleaner: null
|
| 684 |
+
g2p: null
|
| 685 |
+
speech_volume_normalize: null
|
| 686 |
+
rir_scp: null
|
| 687 |
+
rir_apply_prob: 1.0
|
| 688 |
+
noise_scp: null
|
| 689 |
+
noise_apply_prob: 1.0
|
| 690 |
+
noise_db_range: '13_15'
|
| 691 |
+
short_noise_thres: 0.5
|
| 692 |
+
frontend: null
|
| 693 |
+
frontend_conf: {}
|
| 694 |
+
specaug: null
|
| 695 |
+
specaug_conf: {}
|
| 696 |
+
normalize: null
|
| 697 |
+
normalize_conf: {}
|
| 698 |
+
model: espnet
|
| 699 |
+
model_conf:
|
| 700 |
+
ctc_weight: 0.0
|
| 701 |
+
lsm_weight: 0.1
|
| 702 |
+
length_normalized_loss: false
|
| 703 |
+
weighted_sum: true
|
| 704 |
+
extract_feats_in_collect_stats: false
|
| 705 |
+
preencoder: null
|
| 706 |
+
preencoder_conf: {}
|
| 707 |
+
encoder: whisper
|
| 708 |
+
encoder_conf:
|
| 709 |
+
whisper_model: medium
|
| 710 |
+
dropout_rate: 0.0
|
| 711 |
+
use_specaug: true
|
| 712 |
+
specaug_conf:
|
| 713 |
+
apply_time_warp: true
|
| 714 |
+
time_warp_window: 5
|
| 715 |
+
time_warp_mode: bicubic
|
| 716 |
+
apply_freq_mask: true
|
| 717 |
+
freq_mask_width_range:
|
| 718 |
+
- 0
|
| 719 |
+
- 40
|
| 720 |
+
num_freq_mask: 2
|
| 721 |
+
apply_time_mask: true
|
| 722 |
+
time_mask_width_ratio_range:
|
| 723 |
+
- 0.0
|
| 724 |
+
- 0.12
|
| 725 |
+
num_time_mask: 5
|
| 726 |
+
prepostencoder: linear
|
| 727 |
+
prepostencoder_conf:
|
| 728 |
+
input_size: 1024
|
| 729 |
+
output_size: 80
|
| 730 |
+
postencoder: conformer_full
|
| 731 |
+
postencoder_conf:
|
| 732 |
+
output_size: 256
|
| 733 |
+
attention_heads: 4
|
| 734 |
+
linear_units: 1024
|
| 735 |
+
num_blocks: 12
|
| 736 |
+
dropout_rate: 0.1
|
| 737 |
+
positional_dropout_rate: 0.1
|
| 738 |
+
attention_dropout_rate: 0.1
|
| 739 |
+
input_layer: conv2d2
|
| 740 |
+
normalize_before: true
|
| 741 |
+
macaron_style: true
|
| 742 |
+
rel_pos_type: latest
|
| 743 |
+
pos_enc_layer_type: rel_pos
|
| 744 |
+
selfattention_layer_type: rel_selfattn
|
| 745 |
+
activation_type: swish
|
| 746 |
+
use_cnn_module: true
|
| 747 |
+
cnn_module_kernel: 31
|
| 748 |
+
deliberationencoder: null
|
| 749 |
+
deliberationencoder_conf: {}
|
| 750 |
+
decoder: transformer
|
| 751 |
+
decoder_conf:
|
| 752 |
+
attention_heads: 4
|
| 753 |
+
linear_units: 2048
|
| 754 |
+
num_blocks: 6
|
| 755 |
+
dropout_rate: 0.1
|
| 756 |
+
positional_dropout_rate: 0.1
|
| 757 |
+
self_attention_dropout_rate: 0.1
|
| 758 |
+
src_attention_dropout_rate: 0.1
|
| 759 |
+
postdecoder: null
|
| 760 |
+
postdecoder_conf: {}
|
| 761 |
+
required:
|
| 762 |
+
- output_dir
|
| 763 |
+
- token_list
|
| 764 |
+
version: '202310'
|
| 765 |
+
distributed: true
|
| 766 |
+
```
|
| 767 |
+
|
| 768 |
+
</details>
|
| 769 |
+
|
| 770 |
+
|
| 771 |
+
|
| 772 |
+
### Citing ESPnet
|
| 773 |
+
|
| 774 |
+
```BibTex
|
| 775 |
+
@inproceedings{watanabe2018espnet,
|
| 776 |
+
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},
|
| 777 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
| 778 |
+
year={2018},
|
| 779 |
+
booktitle={Proceedings of Interspeech},
|
| 780 |
+
pages={2207--2211},
|
| 781 |
+
doi={10.21437/Interspeech.2018-1456},
|
| 782 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
| 783 |
+
}
|
| 784 |
+
|
| 785 |
+
|
| 786 |
+
|
| 787 |
+
|
| 788 |
+
|
| 789 |
+
|
| 790 |
+
```
|
| 791 |
+
|
| 792 |
+
or arXiv:
|
| 793 |
+
|
| 794 |
+
```bibtex
|
| 795 |
+
@misc{watanabe2018espnet,
|
| 796 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
| 797 |
+
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},
|
| 798 |
+
year={2018},
|
| 799 |
+
eprint={1804.00015},
|
| 800 |
+
archivePrefix={arXiv},
|
| 801 |
+
primaryClass={cs.CL}
|
| 802 |
+
}
|
| 803 |
+
```
|
data/en_token_list/bpe_unigram500/bpe.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9070b5fe2b321a13162f2aa8159c6f637402b46fb032510dbb1dabfcf0afa24f
|
| 3 |
+
size 244766
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/RESULTS.md
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{'rouge1': 0.2255418629519756, 'rouge2': 0.0485061537185737, 'rougeL': 0.1596465851004139, 'rougeLsum': 0.15968116069467322, 'meteor': 0.2129616261465529}
|
| 2 |
+
RESULT 22.55418629519756 3.799127541421444e-132 15.96465851004139 21.29616261465529 83.78519008627457
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/config.yaml
ADDED
|
@@ -0,0 +1,727 @@
|
|
|
|
|
|
|
|
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|
| 1 |
+
config: conf//train_asr_whisper_weighted_conv2d2.yaml
|
| 2 |
+
print_config: false
|
| 3 |
+
log_level: INFO
|
| 4 |
+
drop_last_iter: false
|
| 5 |
+
dry_run: false
|
| 6 |
+
iterator_type: sequence
|
| 7 |
+
valid_iterator_type: null
|
| 8 |
+
output_dir: exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp
|
| 9 |
+
ngpu: 1
|
| 10 |
+
seed: 2022
|
| 11 |
+
num_workers: 2
|
| 12 |
+
num_att_plot: 3
|
| 13 |
+
dist_backend: nccl
|
| 14 |
+
dist_init_method: env://
|
| 15 |
+
dist_world_size: 4
|
| 16 |
+
dist_rank: 0
|
| 17 |
+
local_rank: 0
|
| 18 |
+
dist_master_addr: localhost
|
| 19 |
+
dist_master_port: 42635
|
| 20 |
+
dist_launcher: null
|
| 21 |
+
multiprocessing_distributed: true
|
| 22 |
+
unused_parameters: false
|
| 23 |
+
sharded_ddp: false
|
| 24 |
+
cudnn_enabled: true
|
| 25 |
+
cudnn_benchmark: false
|
| 26 |
+
cudnn_deterministic: true
|
| 27 |
+
collect_stats: false
|
| 28 |
+
write_collected_feats: false
|
| 29 |
+
max_epoch: 25
|
| 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 |
+
- acc
|
| 41 |
+
- max
|
| 42 |
+
keep_nbest_models: 10
|
| 43 |
+
nbest_averaging_interval: 0
|
| 44 |
+
grad_clip: 5.0
|
| 45 |
+
grad_clip_type: 2.0
|
| 46 |
+
grad_noise: false
|
| 47 |
+
accum_grad: 1
|
| 48 |
+
no_forward_run: false
|
| 49 |
+
resume: true
|
| 50 |
+
train_dtype: float32
|
| 51 |
+
use_amp: false
|
| 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_lora: false
|
| 64 |
+
save_lora_only: true
|
| 65 |
+
lora_conf: {}
|
| 66 |
+
pretrain_path: null
|
| 67 |
+
init_param:
|
| 68 |
+
- /scratch/bbjs/arora1/espnet_slue_PR/espnet/egs2/tedlium3/asr1/exp/asr_train_asr_whisper_weighted_conv2d2_raw_en_bpe500/valid.acc.ave_10best.pth:::ctc
|
| 69 |
+
ignore_init_mismatch: false
|
| 70 |
+
freeze_param:
|
| 71 |
+
- encoder
|
| 72 |
+
num_iters_per_epoch: null
|
| 73 |
+
batch_size: 20
|
| 74 |
+
valid_batch_size: null
|
| 75 |
+
batch_bins: 12000000
|
| 76 |
+
valid_batch_bins: null
|
| 77 |
+
train_shape_file:
|
| 78 |
+
- exp/slu_stats_raw_en_bpe500_sp/train/speech_shape
|
| 79 |
+
- exp/slu_stats_raw_en_bpe500_sp/train/text_shape.bpe
|
| 80 |
+
valid_shape_file:
|
| 81 |
+
- exp/slu_stats_raw_en_bpe500_sp/valid/speech_shape
|
| 82 |
+
- exp/slu_stats_raw_en_bpe500_sp/valid/text_shape.bpe
|
| 83 |
+
batch_type: numel
|
| 84 |
+
valid_batch_type: null
|
| 85 |
+
fold_length:
|
| 86 |
+
- 80000
|
| 87 |
+
- 150
|
| 88 |
+
sort_in_batch: descending
|
| 89 |
+
shuffle_within_batch: false
|
| 90 |
+
sort_batch: descending
|
| 91 |
+
multiple_iterator: false
|
| 92 |
+
chunk_length: 500
|
| 93 |
+
chunk_shift_ratio: 0.5
|
| 94 |
+
num_cache_chunks: 1024
|
| 95 |
+
chunk_excluded_key_prefixes: []
|
| 96 |
+
chunk_default_fs: null
|
| 97 |
+
train_data_path_and_name_and_type:
|
| 98 |
+
- - dump/raw/train_sp/wav.scp
|
| 99 |
+
- speech
|
| 100 |
+
- kaldi_ark
|
| 101 |
+
- - dump/raw/train_sp/text
|
| 102 |
+
- text
|
| 103 |
+
- text
|
| 104 |
+
valid_data_path_and_name_and_type:
|
| 105 |
+
- - dump/raw/devel/wav.scp
|
| 106 |
+
- speech
|
| 107 |
+
- kaldi_ark
|
| 108 |
+
- - dump/raw/devel/text
|
| 109 |
+
- text
|
| 110 |
+
- text
|
| 111 |
+
allow_variable_data_keys: false
|
| 112 |
+
max_cache_size: 0.0
|
| 113 |
+
max_cache_fd: 32
|
| 114 |
+
allow_multi_rates: false
|
| 115 |
+
valid_max_cache_size: null
|
| 116 |
+
exclude_weight_decay: false
|
| 117 |
+
exclude_weight_decay_conf: {}
|
| 118 |
+
optim: adam
|
| 119 |
+
optim_conf:
|
| 120 |
+
lr: 0.002
|
| 121 |
+
weight_decay: 1.0e-06
|
| 122 |
+
scheduler: warmuplr
|
| 123 |
+
scheduler_conf:
|
| 124 |
+
warmup_steps: 5000
|
| 125 |
+
token_list:
|
| 126 |
+
- <blank>
|
| 127 |
+
- <unk>
|
| 128 |
+
- '[sep]'
|
| 129 |
+
- '"'
|
| 130 |
+
- s
|
| 131 |
+
- ▁
|
| 132 |
+
- ▁the
|
| 133 |
+
- ','
|
| 134 |
+
- t
|
| 135 |
+
- d
|
| 136 |
+
- ▁a
|
| 137 |
+
- .
|
| 138 |
+
- ing
|
| 139 |
+
- o
|
| 140 |
+
- e
|
| 141 |
+
- ▁to
|
| 142 |
+
- a
|
| 143 |
+
- ▁and
|
| 144 |
+
- y
|
| 145 |
+
- n
|
| 146 |
+
- ▁of
|
| 147 |
+
- r
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use_preprocessor: true
|
| 642 |
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token_type: bpe
|
| 643 |
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bpemodel: data/en_token_list/bpe_unigram500/bpe.model
|
| 644 |
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non_linguistic_symbols: null
|
| 645 |
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cleaner: null
|
| 646 |
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g2p: null
|
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|
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rir_scp: null
|
| 649 |
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rir_apply_prob: 1.0
|
| 650 |
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noise_scp: null
|
| 651 |
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noise_apply_prob: 1.0
|
| 652 |
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noise_db_range: '13_15'
|
| 653 |
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short_noise_thres: 0.5
|
| 654 |
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frontend: null
|
| 655 |
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frontend_conf: {}
|
| 656 |
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specaug: null
|
| 657 |
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specaug_conf: {}
|
| 658 |
+
normalize: null
|
| 659 |
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normalize_conf: {}
|
| 660 |
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model: espnet
|
| 661 |
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model_conf:
|
| 662 |
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ctc_weight: 0.0
|
| 663 |
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lsm_weight: 0.1
|
| 664 |
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length_normalized_loss: false
|
| 665 |
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weighted_sum: true
|
| 666 |
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extract_feats_in_collect_stats: false
|
| 667 |
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preencoder: null
|
| 668 |
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preencoder_conf: {}
|
| 669 |
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encoder: whisper
|
| 670 |
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encoder_conf:
|
| 671 |
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whisper_model: medium
|
| 672 |
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dropout_rate: 0.0
|
| 673 |
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use_specaug: true
|
| 674 |
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specaug_conf:
|
| 675 |
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apply_time_warp: true
|
| 676 |
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time_warp_window: 5
|
| 677 |
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time_warp_mode: bicubic
|
| 678 |
+
apply_freq_mask: true
|
| 679 |
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freq_mask_width_range:
|
| 680 |
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- 0
|
| 681 |
+
- 40
|
| 682 |
+
num_freq_mask: 2
|
| 683 |
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apply_time_mask: true
|
| 684 |
+
time_mask_width_ratio_range:
|
| 685 |
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- 0.0
|
| 686 |
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- 0.12
|
| 687 |
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num_time_mask: 5
|
| 688 |
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prepostencoder: linear
|
| 689 |
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prepostencoder_conf:
|
| 690 |
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input_size: 1024
|
| 691 |
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output_size: 80
|
| 692 |
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postencoder: conformer_full
|
| 693 |
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postencoder_conf:
|
| 694 |
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output_size: 256
|
| 695 |
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attention_heads: 4
|
| 696 |
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linear_units: 1024
|
| 697 |
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num_blocks: 12
|
| 698 |
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dropout_rate: 0.1
|
| 699 |
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positional_dropout_rate: 0.1
|
| 700 |
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attention_dropout_rate: 0.1
|
| 701 |
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input_layer: conv2d2
|
| 702 |
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normalize_before: true
|
| 703 |
+
macaron_style: true
|
| 704 |
+
rel_pos_type: latest
|
| 705 |
+
pos_enc_layer_type: rel_pos
|
| 706 |
+
selfattention_layer_type: rel_selfattn
|
| 707 |
+
activation_type: swish
|
| 708 |
+
use_cnn_module: true
|
| 709 |
+
cnn_module_kernel: 31
|
| 710 |
+
deliberationencoder: null
|
| 711 |
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deliberationencoder_conf: {}
|
| 712 |
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decoder: transformer
|
| 713 |
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decoder_conf:
|
| 714 |
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attention_heads: 4
|
| 715 |
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linear_units: 2048
|
| 716 |
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num_blocks: 6
|
| 717 |
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dropout_rate: 0.1
|
| 718 |
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positional_dropout_rate: 0.1
|
| 719 |
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self_attention_dropout_rate: 0.1
|
| 720 |
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src_attention_dropout_rate: 0.1
|
| 721 |
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postdecoder: null
|
| 722 |
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postdecoder_conf: {}
|
| 723 |
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required:
|
| 724 |
+
- output_dir
|
| 725 |
+
- token_list
|
| 726 |
+
version: '202310'
|
| 727 |
+
distributed: true
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/acc.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/backward_time.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/cer.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/clip.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/forward_time.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/gpu_max_cached_mem_GB.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/grad_norm.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/iter_time.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/loss.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/loss_att.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/loss_scale.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/optim0_lr0.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/optim_step_time.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/train_time.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/images/wer.png
ADDED
|
exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/valid.acc.ave_10best.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 1356868802
|
meta.yaml
ADDED
|
@@ -0,0 +1,8 @@
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
espnet: '202310'
|
| 2 |
+
files:
|
| 3 |
+
slu_model_file: exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/valid.acc.ave_10best.pth
|
| 4 |
+
python: "3.9.13 (main, Aug 25 2022, 23:26:10) \n[GCC 11.2.0]"
|
| 5 |
+
timestamp: 1711761248.000196
|
| 6 |
+
torch: 2.1.0+cu121
|
| 7 |
+
yaml_files:
|
| 8 |
+
slu_train_config: exp/slu_train_asr_whisper_weighted_conv2d2_raw_en_bpe500_sp/config.yaml
|