TylorShine commited on
Commit
9cefb87
1 Parent(s): 954ede7

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -3
README.md CHANGED
@@ -1,15 +1,21 @@
1
  ---
2
  language: ja
3
  tags:
4
- - speech
5
- license: apache-2.0
6
  ---
7
 
8
  # distilhubert-ft-japanese-50k
9
 
10
  Fine-tuned (more precisely, continue trained) 50k steps model on Japanese using the [JVS corpus](https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus), [Tsukuyomi-Chan corpus](https://tyc.rei-yumesaki.net/material/corpus/), [Amitaro's ITA corpus V2.1](https://amitaro.net/), and recorded my own read [ITA corpus](https://github.com/mmorise/ita-corpus).
11
 
 
12
 
 
 
 
 
 
13
  Original repos, Many thanks!:
14
  [S3PRL](https://github.com/s3prl/s3prl/tree/main/s3prl/pretrain)
15
  - Using this when training (with little modify for train using own datasets).
@@ -40,4 +46,4 @@ Note: This is not the best checkpoint and become more accurate with continued tr
40
  ```
41
  [https://amitaro.net/](https://amitaro.net/)
42
 
43
- Thanks!
 
1
  ---
2
  language: ja
3
  tags:
4
+ - speech
5
+ license: other
6
  ---
7
 
8
  # distilhubert-ft-japanese-50k
9
 
10
  Fine-tuned (more precisely, continue trained) 50k steps model on Japanese using the [JVS corpus](https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus), [Tsukuyomi-Chan corpus](https://tyc.rei-yumesaki.net/material/corpus/), [Amitaro's ITA corpus V2.1](https://amitaro.net/), and recorded my own read [ITA corpus](https://github.com/mmorise/ita-corpus).
11
 
12
+ ## Attention
13
 
14
+ This checkpoint was used the [JVS corpus](https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus) when training. Please read and accept the [terms of use](https://sites.google.com/site/shinnosuketakamichi/research-topics/jvs_corpus#h.p_OP_G8FT_Kuf4)
15
+ (This terms of use was also applies this checkpoint. This means also applies this "terms of use" when you use this checkpoint with another project etc...)
16
+
17
+
18
+ # References
19
  Original repos, Many thanks!:
20
  [S3PRL](https://github.com/s3prl/s3prl/tree/main/s3prl/pretrain)
21
  - Using this when training (with little modify for train using own datasets).
 
46
  ```
47
  [https://amitaro.net/](https://amitaro.net/)
48
 
49
+ Thanks!