From a8a849ce0556951cc8fb6b0a06ab6391c23e25e7 Mon Sep 17 00:00:00 2001
From: yhliang <68215459+yhliang-aslp@users.noreply.github.com>
Date: 星期日, 23 四月 2023 20:15:33 +0800
Subject: [PATCH] Merge pull request #406 from alibaba-damo-academy/main
---
docs/modescope_pipeline/quick_start.md | 11 ++++++++++-
1 files changed, 10 insertions(+), 1 deletions(-)
diff --git a/docs/modescope_pipeline/quick_start.md b/docs/modescope_pipeline/quick_start.md
index e6a85d9..436fb1d 100644
--- a/docs/modescope_pipeline/quick_start.md
+++ b/docs/modescope_pipeline/quick_start.md
@@ -108,8 +108,9 @@
task=Tasks.speaker_diarization,
diar_model_config="sond.yaml",
model='damo/speech_diarization_sond-en-us-callhome-8k-n16k4-pytorch',
+ model_revision="v1.0.3",
sv_model="damo/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch",
- sv_model_revision="master",
+ sv_model_revision="v1.0.0",
)
audio_list=[
@@ -121,6 +122,7 @@
results = inference_diar_pipline(audio_in=audio_list)
print(results)
+# {'text': 'spk1 [(0.8, 1.84), (2.8, 6.16), (7.04, 10.64), (12.08, 12.8), (14.24, 15.6)]\nspk2 [(0.0, 1.12), (1.68, 3.2), (4.48, 7.12), (8.48, 9.04), (10.56, 14.48), (15.44, 16.0)]'}
```
### FAQ
@@ -205,6 +207,13 @@
```shell
python finetune.py &> log.txt &
```
+tail log.txt
+```
+[bach-gpu011024008134] 2023-04-23 18:59:13,976 (e2e_asr_paraformer:467) INFO: enable sampler in paraformer, sampling_ratio: 0.75
+[bach-gpu011024008134] 2023-04-23 18:59:48,924 (trainer:777) INFO: 2epoch:train:1-50batch:50num_updates: iter_time=0.008, forward_time=0.302, loss_att=0.186, acc=0.942, loss_pre=0.005, loss=0.192, backward_time=0.231, optim_step_time=0.117, optim0_lr0=7.484e-06, train_time=0.753
+[bach-gpu011024008134] 2023-04-23 19:00:23,869 (trainer:777) INFO: 2epoch:train:51-100batch:100num_updates: iter_time=1.152e-04, forward_time=0.275, loss_att=0.184, acc=0.945, loss_pre=0.005, loss=0.189, backward_time=0.234, optim_step_time=0.117, optim0_lr0=7.567e-06, train_time=0.699
+[bach-gpu011024008134] 2023-04-23 19:00:58,463 (trainer:777) INFO: 2epoch:train:101-150batch:150num_updates: iter_time=1.123e-04, forward_time=0.271, loss_att=0.204, acc=0.942, loss_pre=0.005, loss=0.210, backward_time=0.231, optim_step_time=0.116, optim0_lr0=7.651e-06, train_time=0.692
+```
### FAQ
### Multi GPUs training and distributed training
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