“siddhu001”
commited on
Commit
•
3666434
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Parent(s):
1633748
Update model
Browse files- README.md +353 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/RESULTS.md +46 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/config.yaml +233 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/acc.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/backward_time.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/cer.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/clip.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/forward_time.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/grad_norm.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/iter_time.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/loss.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/loss_att.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/loss_scale.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/optim0_lr0.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/optim_step_time.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/train_time.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/wer.png +0 -0
- exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/valid.loss.ave_10best.pth +3 -0
- meta.yaml +8 -0
README.md
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1 |
+
---
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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-voxceleb
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license: cc-by-4.0
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---
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+
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## ESPnet2 ASR model
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### `espnet/sluevoxceleb_owsm_finetune_sa`
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|
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This model was trained by “siddhu001” using slue-voxceleb 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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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 e23ef85f0b3116ad5c60d0833f186da0deec0734
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pip install -e .
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cd egs2/slue-voxceleb/slu1_superb_correct
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/sluevoxceleb_owsm_finetune_sa
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```
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|
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<!-- Generated by scripts/utils/show_asr_result.sh -->
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# RESULTS
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## Environments
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- date: `Wed Feb 7 23:48:24 CST 2024`
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- python version: `3.9.13 (main, Aug 25 2022, 23:26:10) [GCC 11.2.0]`
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- espnet version: `espnet 202310`
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- pytorch version: `pytorch 2.1.0+cu121`
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- Git hash: `21d2105784e4da98397bf487b2550d4c6e16d40d`
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- Commit date: `Wed Jan 31 13:40:37 2024 -0600`
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|
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## exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp
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### WER
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|
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
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|---|---|---|---|---|---|---|---|---|
|
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|decode_asr_slu_model_valid.loss.ave/devel|1436|1436|79.5|20.5|0.0|0.0|20.5|20.5|
|
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|decode_asr_slu_model_valid.loss.ave/test|3426|3426|79.3|20.7|0.0|0.0|20.7|20.7|
|
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+
|
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### CER
|
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|
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
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+
|---|---|---|---|---|---|---|---|---|
|
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|decode_asr_slu_model_valid.loss.ave/devel|1436|10365|81.9|16.1|2.0|0.8|18.9|20.5|
|
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|decode_asr_slu_model_valid.loss.ave/test|3426|24887|82.1|15.8|2.2|0.6|18.6|20.7|
|
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|
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### TER
|
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|
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
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+
|---|---|---|---|---|---|---|---|---|
|
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## exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/decode_asr_slu_model_valid.loss.ave
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### WER
|
62 |
+
|
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
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+
|---|---|---|---|---|---|---|---|---|
|
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|org/devel|1437|1437|79.5|20.5|0.0|0.0|20.5|20.5|
|
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+
|
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### CER
|
68 |
+
|
69 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
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+
|---|---|---|---|---|---|---|---|---|
|
71 |
+
|org/devel|1437|10372|81.9|16.1|2.0|0.8|18.9|20.5|
|
72 |
+
|
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### TER
|
74 |
+
|
75 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
76 |
+
|---|---|---|---|---|---|---|---|---|
|
77 |
+
|
78 |
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## ASR config
|
79 |
+
|
80 |
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<details><summary>expand</summary>
|
81 |
+
|
82 |
+
```
|
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config: conf/train_asr_own3.1_weighted_finetune_0.000001.yaml
|
84 |
+
print_config: false
|
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+
log_level: INFO
|
86 |
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drop_last_iter: false
|
87 |
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dry_run: false
|
88 |
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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_own3.1_weighted_finetune_0.000001_raw_en_word_sp
|
91 |
+
ngpu: 1
|
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+
seed: 0
|
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+
num_workers: 1
|
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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: 42653
|
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+
dist_launcher: null
|
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multiprocessing_distributed: true
|
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unused_parameters: true
|
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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: 50
|
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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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+
- loss
|
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+
- min
|
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+
- - train
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+
- loss
|
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+
- min
|
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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: 2
|
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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
|
140 |
+
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
|
150 |
+
lora_conf: {}
|
151 |
+
pretrain_path: null
|
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+
init_param:
|
153 |
+
- /scratch/bbjs/arora1/new_download_espnet_egs2/harpervalley/slu1_superb_onlyda/owsm_v3.1_ebf/exp/s2t_train_s2t_ebf_conv2d_size1024_e18_d18_piecewise_lr2e-4_warmup60k_flashattn_raw_bpe50000/valid.total_count.ave_5best.till45epoch.pth:encoder:encoder
|
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ignore_init_mismatch: false
|
155 |
+
freeze_param: []
|
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+
num_iters_per_epoch: null
|
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+
batch_size: 64
|
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+
valid_batch_size: null
|
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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/slu_stats_raw_en_word_sp/train/speech_shape
|
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+
- exp/slu_stats_raw_en_word_sp/train/text_shape.word
|
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+
valid_shape_file:
|
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+
- exp/slu_stats_raw_en_word_sp/valid/speech_shape
|
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+
- exp/slu_stats_raw_en_word_sp/valid/text_shape.word
|
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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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- 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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- sound
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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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191 |
+
- sound
|
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- - dump/raw/devel/text
|
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- 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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+
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: 1.0e-06
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scheduler: warmuplr
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scheduler_conf:
|
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warmup_steps: 1000
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+
token_list:
|
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- <blank>
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210 |
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- <unk>
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- Neutral
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- Positive
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+
- Negative
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214 |
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- <sos/eos>
|
215 |
+
transcript_token_list: null
|
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+
two_pass: false
|
217 |
+
pre_postencoder_norm: false
|
218 |
+
init: null
|
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+
input_size: null
|
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+
ctc_conf:
|
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+
dropout_rate: 0.0
|
222 |
+
ctc_type: builtin
|
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+
reduce: true
|
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+
ignore_nan_grad: null
|
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+
zero_infinity: true
|
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+
brctc_risk_strategy: exp
|
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+
brctc_group_strategy: end
|
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+
brctc_risk_factor: 0.0
|
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+
joint_net_conf: null
|
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+
use_preprocessor: true
|
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+
token_type: word
|
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+
bpemodel: null
|
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+
non_linguistic_symbols: null
|
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+
cleaner: null
|
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+
g2p: null
|
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+
speech_volume_normalize: null
|
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+
rir_scp: null
|
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+
rir_apply_prob: 1.0
|
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+
noise_scp: null
|
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+
noise_apply_prob: 1.0
|
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+
noise_db_range: '13_15'
|
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+
short_noise_thres: 0.5
|
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+
frontend: default
|
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+
frontend_conf:
|
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+
n_fft: 512
|
246 |
+
win_length: 400
|
247 |
+
hop_length: 160
|
248 |
+
fs: 16k
|
249 |
+
specaug: specaug
|
250 |
+
specaug_conf:
|
251 |
+
apply_time_warp: false
|
252 |
+
time_warp_window: 5
|
253 |
+
time_warp_mode: bicubic
|
254 |
+
apply_freq_mask: true
|
255 |
+
freq_mask_width_range:
|
256 |
+
- 0
|
257 |
+
- 27
|
258 |
+
num_freq_mask: 2
|
259 |
+
apply_time_mask: true
|
260 |
+
time_mask_width_ratio_range:
|
261 |
+
- 0.0
|
262 |
+
- 0.05
|
263 |
+
num_time_mask: 10
|
264 |
+
normalize: global_mvn
|
265 |
+
normalize_conf:
|
266 |
+
stats_file: /scratch/bbjs/arora1/new_download_espnet_egs2/harpervalley/slu1_superb_onlyda/owsm_v3.1_ebf/exp/s2t_stats_raw_bpe50000/train/feats_stats.npz
|
267 |
+
model: espnet
|
268 |
+
model_conf:
|
269 |
+
ctc_weight: 0.0
|
270 |
+
lsm_weight: 0.1
|
271 |
+
length_normalized_loss: false
|
272 |
+
superb_setup_encoder: true
|
273 |
+
num_class: 3
|
274 |
+
ssl_input_size: 1024
|
275 |
+
weighted_sum: true
|
276 |
+
extract_feats_in_collect_stats: false
|
277 |
+
preencoder: null
|
278 |
+
preencoder_conf: {}
|
279 |
+
encoder: e_branchformer
|
280 |
+
encoder_conf:
|
281 |
+
output_size: 1024
|
282 |
+
attention_heads: 16
|
283 |
+
attention_layer_type: selfattn
|
284 |
+
pos_enc_layer_type: abs_pos
|
285 |
+
rel_pos_type: latest
|
286 |
+
cgmlp_linear_units: 4096
|
287 |
+
cgmlp_conv_kernel: 31
|
288 |
+
use_linear_after_conv: false
|
289 |
+
gate_activation: identity
|
290 |
+
num_blocks: 18
|
291 |
+
dropout_rate: 0.1
|
292 |
+
positional_dropout_rate: 0.1
|
293 |
+
attention_dropout_rate: 0.1
|
294 |
+
input_layer: conv2d
|
295 |
+
layer_drop_rate: 0.0
|
296 |
+
linear_units: 4096
|
297 |
+
positionwise_layer_type: linear
|
298 |
+
use_ffn: true
|
299 |
+
macaron_ffn: true
|
300 |
+
merge_conv_kernel: 31
|
301 |
+
prepostencoder: null
|
302 |
+
prepostencoder_conf: {}
|
303 |
+
postencoder: null
|
304 |
+
postencoder_conf: {}
|
305 |
+
deliberationencoder: null
|
306 |
+
deliberationencoder_conf: {}
|
307 |
+
decoder: rnn
|
308 |
+
decoder_conf: {}
|
309 |
+
postdecoder: null
|
310 |
+
postdecoder_conf: {}
|
311 |
+
required:
|
312 |
+
- output_dir
|
313 |
+
- token_list
|
314 |
+
version: '202310'
|
315 |
+
distributed: true
|
316 |
+
```
|
317 |
+
|
318 |
+
</details>
|
319 |
+
|
320 |
+
|
321 |
+
|
322 |
+
### Citing ESPnet
|
323 |
+
|
324 |
+
```BibTex
|
325 |
+
@inproceedings{watanabe2018espnet,
|
326 |
+
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},
|
327 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
328 |
+
year={2018},
|
329 |
+
booktitle={Proceedings of Interspeech},
|
330 |
+
pages={2207--2211},
|
331 |
+
doi={10.21437/Interspeech.2018-1456},
|
332 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
333 |
+
}
|
334 |
+
|
335 |
+
|
336 |
+
|
337 |
+
|
338 |
+
|
339 |
+
|
340 |
+
```
|
341 |
+
|
342 |
+
or arXiv:
|
343 |
+
|
344 |
+
```bibtex
|
345 |
+
@misc{watanabe2018espnet,
|
346 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
347 |
+
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},
|
348 |
+
year={2018},
|
349 |
+
eprint={1804.00015},
|
350 |
+
archivePrefix={arXiv},
|
351 |
+
primaryClass={cs.CL}
|
352 |
+
}
|
353 |
+
```
|
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/RESULTS.md
ADDED
@@ -0,0 +1,46 @@
|
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|
1 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Wed Feb 7 23:48:24 CST 2024`
|
5 |
+
- python version: `3.9.13 (main, Aug 25 2022, 23:26:10) [GCC 11.2.0]`
|
6 |
+
- espnet version: `espnet 202310`
|
7 |
+
- pytorch version: `pytorch 2.1.0+cu121`
|
8 |
+
- Git hash: `21d2105784e4da98397bf487b2550d4c6e16d40d`
|
9 |
+
- Commit date: `Wed Jan 31 13:40:37 2024 -0600`
|
10 |
+
|
11 |
+
## exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp
|
12 |
+
### WER
|
13 |
+
|
14 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
15 |
+
|---|---|---|---|---|---|---|---|---|
|
16 |
+
|decode_asr_slu_model_valid.loss.ave/devel|1436|1436|79.5|20.5|0.0|0.0|20.5|20.5|
|
17 |
+
|decode_asr_slu_model_valid.loss.ave/test|3426|3426|79.3|20.7|0.0|0.0|20.7|20.7|
|
18 |
+
|
19 |
+
### CER
|
20 |
+
|
21 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
22 |
+
|---|---|---|---|---|---|---|---|---|
|
23 |
+
|decode_asr_slu_model_valid.loss.ave/devel|1436|10365|81.9|16.1|2.0|0.8|18.9|20.5|
|
24 |
+
|decode_asr_slu_model_valid.loss.ave/test|3426|24887|82.1|15.8|2.2|0.6|18.6|20.7|
|
25 |
+
|
26 |
+
### TER
|
27 |
+
|
28 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
29 |
+
|---|---|---|---|---|---|---|---|---|
|
30 |
+
## exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/decode_asr_slu_model_valid.loss.ave
|
31 |
+
### WER
|
32 |
+
|
33 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
34 |
+
|---|---|---|---|---|---|---|---|---|
|
35 |
+
|org/devel|1437|1437|79.5|20.5|0.0|0.0|20.5|20.5|
|
36 |
+
|
37 |
+
### CER
|
38 |
+
|
39 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
40 |
+
|---|---|---|---|---|---|---|---|---|
|
41 |
+
|org/devel|1437|10372|81.9|16.1|2.0|0.8|18.9|20.5|
|
42 |
+
|
43 |
+
### TER
|
44 |
+
|
45 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
46 |
+
|---|---|---|---|---|---|---|---|---|
|
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/config.yaml
ADDED
@@ -0,0 +1,233 @@
|
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|
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|
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|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
|
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|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
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|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: conf/train_asr_own3.1_weighted_finetune_0.000001.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_own3.1_weighted_finetune_0.000001_raw_en_word_sp
|
9 |
+
ngpu: 1
|
10 |
+
seed: 0
|
11 |
+
num_workers: 1
|
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: 42653
|
20 |
+
dist_launcher: null
|
21 |
+
multiprocessing_distributed: true
|
22 |
+
unused_parameters: true
|
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: 50
|
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 |
+
- loss
|
41 |
+
- min
|
42 |
+
- - train
|
43 |
+
- loss
|
44 |
+
- min
|
45 |
+
keep_nbest_models: 10
|
46 |
+
nbest_averaging_interval: 0
|
47 |
+
grad_clip: 5.0
|
48 |
+
grad_clip_type: 2.0
|
49 |
+
grad_noise: false
|
50 |
+
accum_grad: 2
|
51 |
+
no_forward_run: false
|
52 |
+
resume: true
|
53 |
+
train_dtype: float32
|
54 |
+
use_amp: false
|
55 |
+
log_interval: null
|
56 |
+
use_matplotlib: true
|
57 |
+
use_tensorboard: true
|
58 |
+
create_graph_in_tensorboard: false
|
59 |
+
use_wandb: false
|
60 |
+
wandb_project: null
|
61 |
+
wandb_id: null
|
62 |
+
wandb_entity: null
|
63 |
+
wandb_name: null
|
64 |
+
wandb_model_log_interval: -1
|
65 |
+
detect_anomaly: false
|
66 |
+
use_lora: false
|
67 |
+
save_lora_only: true
|
68 |
+
lora_conf: {}
|
69 |
+
pretrain_path: null
|
70 |
+
init_param:
|
71 |
+
- /scratch/bbjs/arora1/new_download_espnet_egs2/harpervalley/slu1_superb_onlyda/owsm_v3.1_ebf/exp/s2t_train_s2t_ebf_conv2d_size1024_e18_d18_piecewise_lr2e-4_warmup60k_flashattn_raw_bpe50000/valid.total_count.ave_5best.till45epoch.pth:encoder:encoder
|
72 |
+
ignore_init_mismatch: false
|
73 |
+
freeze_param: []
|
74 |
+
num_iters_per_epoch: null
|
75 |
+
batch_size: 64
|
76 |
+
valid_batch_size: null
|
77 |
+
batch_bins: 1000000
|
78 |
+
valid_batch_bins: null
|
79 |
+
train_shape_file:
|
80 |
+
- exp/slu_stats_raw_en_word_sp/train/speech_shape
|
81 |
+
- exp/slu_stats_raw_en_word_sp/train/text_shape.word
|
82 |
+
valid_shape_file:
|
83 |
+
- exp/slu_stats_raw_en_word_sp/valid/speech_shape
|
84 |
+
- exp/slu_stats_raw_en_word_sp/valid/text_shape.word
|
85 |
+
batch_type: folded
|
86 |
+
valid_batch_type: null
|
87 |
+
fold_length:
|
88 |
+
- 80000
|
89 |
+
- 150
|
90 |
+
sort_in_batch: descending
|
91 |
+
shuffle_within_batch: false
|
92 |
+
sort_batch: descending
|
93 |
+
multiple_iterator: false
|
94 |
+
chunk_length: 500
|
95 |
+
chunk_shift_ratio: 0.5
|
96 |
+
num_cache_chunks: 1024
|
97 |
+
chunk_excluded_key_prefixes: []
|
98 |
+
chunk_default_fs: null
|
99 |
+
train_data_path_and_name_and_type:
|
100 |
+
- - dump/raw/train_sp/wav.scp
|
101 |
+
- speech
|
102 |
+
- sound
|
103 |
+
- - dump/raw/train_sp/text
|
104 |
+
- text
|
105 |
+
- text
|
106 |
+
valid_data_path_and_name_and_type:
|
107 |
+
- - dump/raw/devel/wav.scp
|
108 |
+
- speech
|
109 |
+
- sound
|
110 |
+
- - dump/raw/devel/text
|
111 |
+
- text
|
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: 1.0e-06
|
123 |
+
scheduler: warmuplr
|
124 |
+
scheduler_conf:
|
125 |
+
warmup_steps: 1000
|
126 |
+
token_list:
|
127 |
+
- <blank>
|
128 |
+
- <unk>
|
129 |
+
- Neutral
|
130 |
+
- Positive
|
131 |
+
- Negative
|
132 |
+
- <sos/eos>
|
133 |
+
transcript_token_list: null
|
134 |
+
two_pass: false
|
135 |
+
pre_postencoder_norm: false
|
136 |
+
init: null
|
137 |
+
input_size: null
|
138 |
+
ctc_conf:
|
139 |
+
dropout_rate: 0.0
|
140 |
+
ctc_type: builtin
|
141 |
+
reduce: true
|
142 |
+
ignore_nan_grad: null
|
143 |
+
zero_infinity: true
|
144 |
+
brctc_risk_strategy: exp
|
145 |
+
brctc_group_strategy: end
|
146 |
+
brctc_risk_factor: 0.0
|
147 |
+
joint_net_conf: null
|
148 |
+
use_preprocessor: true
|
149 |
+
token_type: word
|
150 |
+
bpemodel: null
|
151 |
+
non_linguistic_symbols: null
|
152 |
+
cleaner: null
|
153 |
+
g2p: null
|
154 |
+
speech_volume_normalize: null
|
155 |
+
rir_scp: null
|
156 |
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rir_apply_prob: 1.0
|
157 |
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noise_scp: null
|
158 |
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noise_apply_prob: 1.0
|
159 |
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noise_db_range: '13_15'
|
160 |
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short_noise_thres: 0.5
|
161 |
+
frontend: default
|
162 |
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frontend_conf:
|
163 |
+
n_fft: 512
|
164 |
+
win_length: 400
|
165 |
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hop_length: 160
|
166 |
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fs: 16k
|
167 |
+
specaug: specaug
|
168 |
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specaug_conf:
|
169 |
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apply_time_warp: false
|
170 |
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time_warp_window: 5
|
171 |
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|
172 |
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|
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|
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|
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- 27
|
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|
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|
178 |
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time_mask_width_ratio_range:
|
179 |
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- 0.0
|
180 |
+
- 0.05
|
181 |
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num_time_mask: 10
|
182 |
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normalize: global_mvn
|
183 |
+
normalize_conf:
|
184 |
+
stats_file: /scratch/bbjs/arora1/new_download_espnet_egs2/harpervalley/slu1_superb_onlyda/owsm_v3.1_ebf/exp/s2t_stats_raw_bpe50000/train/feats_stats.npz
|
185 |
+
model: espnet
|
186 |
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model_conf:
|
187 |
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ctc_weight: 0.0
|
188 |
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lsm_weight: 0.1
|
189 |
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length_normalized_loss: false
|
190 |
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superb_setup_encoder: true
|
191 |
+
num_class: 3
|
192 |
+
ssl_input_size: 1024
|
193 |
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weighted_sum: true
|
194 |
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extract_feats_in_collect_stats: false
|
195 |
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preencoder: null
|
196 |
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preencoder_conf: {}
|
197 |
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encoder: e_branchformer
|
198 |
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encoder_conf:
|
199 |
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output_size: 1024
|
200 |
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attention_heads: 16
|
201 |
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attention_layer_type: selfattn
|
202 |
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pos_enc_layer_type: abs_pos
|
203 |
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rel_pos_type: latest
|
204 |
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cgmlp_linear_units: 4096
|
205 |
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cgmlp_conv_kernel: 31
|
206 |
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use_linear_after_conv: false
|
207 |
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gate_activation: identity
|
208 |
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num_blocks: 18
|
209 |
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dropout_rate: 0.1
|
210 |
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positional_dropout_rate: 0.1
|
211 |
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attention_dropout_rate: 0.1
|
212 |
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input_layer: conv2d
|
213 |
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layer_drop_rate: 0.0
|
214 |
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linear_units: 4096
|
215 |
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positionwise_layer_type: linear
|
216 |
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use_ffn: true
|
217 |
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macaron_ffn: true
|
218 |
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merge_conv_kernel: 31
|
219 |
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prepostencoder: null
|
220 |
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prepostencoder_conf: {}
|
221 |
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postencoder: null
|
222 |
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postencoder_conf: {}
|
223 |
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deliberationencoder: null
|
224 |
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deliberationencoder_conf: {}
|
225 |
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decoder: rnn
|
226 |
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decoder_conf: {}
|
227 |
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postdecoder: null
|
228 |
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postdecoder_conf: {}
|
229 |
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required:
|
230 |
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- output_dir
|
231 |
+
- token_list
|
232 |
+
version: '202310'
|
233 |
+
distributed: true
|
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/acc.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/backward_time.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/cer.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/clip.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/forward_time.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/gpu_max_cached_mem_GB.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/grad_norm.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/iter_time.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/loss.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/loss_att.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/loss_scale.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/optim0_lr0.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/optim_step_time.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/train_time.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/images/wer.png
ADDED
exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/valid.loss.ave_10best.pth
ADDED
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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size 2247934138
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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_own3.1_weighted_finetune_0.000001_raw_en_word_sp/valid.loss.ave_10best.pth
|
4 |
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python: "3.9.13 (main, Aug 25 2022, 23:26:10) \n[GCC 11.2.0]"
|
5 |
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timestamp: 1715350239.56977
|
6 |
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torch: 2.1.0+cu121
|
7 |
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yaml_files:
|
8 |
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slu_train_config: exp/slu_train_asr_own3.1_weighted_finetune_0.000001_raw_en_word_sp/config.yaml
|