zolekode
commited on
Commit
·
5b4eca6
1
Parent(s):
0155ece
updated read me
Browse files- .gitattributes +6 -0
- README.md +3 -3
.gitattributes
CHANGED
|
@@ -20,3 +20,9 @@ t5-small-wav2vec2-grammar-fixer/tokenizer_config.json filter=lfs diff=lfs merge=
|
|
| 20 |
t5-small-wav2vec2-grammar-fixer/config.json filter=lfs diff=lfs merge=lfs -text
|
| 21 |
t5-small-wav2vec2-grammar-fixer/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
| 22 |
t5-small-wav2vec2-grammar-fixer/special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
t5-small-wav2vec2-grammar-fixer/config.json filter=lfs diff=lfs merge=lfs -text
|
| 21 |
t5-small-wav2vec2-grammar-fixer/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
| 22 |
t5-small-wav2vec2-grammar-fixer/special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
|
| 23 |
+
config.json filter=lfs diff=lfs merge=lfs -text
|
| 24 |
+
pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
|
| 25 |
+
special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
|
| 26 |
+
spiece.model filter=lfs diff=lfs merge=lfs -text
|
| 27 |
+
tf_model.h5 filter=lfs diff=lfs merge=lfs -text
|
| 28 |
+
tokenizer_config.json filter=lfs diff=lfs merge=lfs -text
|
README.md
CHANGED
|
@@ -34,11 +34,11 @@ print(f"{sentence}")
|
|
| 34 |
|
| 35 |
INPUT 1:
|
| 36 |
```
|
| 37 |
-
|
| 38 |
```
|
| 39 |
OUTPUT 1:
|
| 40 |
```
|
| 41 |
-
|
| 42 |
```
|
| 43 |
|
| 44 |
INPUT 2:
|
|
@@ -48,7 +48,7 @@ GOING ALONG SLUSHY COUNTRY ROADS AND SPEAKING TO DAMP AUDIENCES IN DRAUGHTY SCHO
|
|
| 48 |
|
| 49 |
OUTPUT 2:
|
| 50 |
```
|
| 51 |
-
Going along Slushy Country Roads and speaking to
|
| 52 |
```
|
| 53 |
I strongly recommend improving the performance via further fine-tuning or by training more examples.
|
| 54 |
- Possible Quick Rule based improvements: Align the transcribed version and the generated version. If the similarity of two words (case-insensitive) vary by more than some threshold based on some similarity metric (e.g. Levenshtein), then keep the transcribed word.
|
|
|
|
| 34 |
|
| 35 |
INPUT 1:
|
| 36 |
```
|
| 37 |
+
WHEN ARE YOU COMING TOMORROW I AM ASKING BECAUSE OF THE MONEY YOU OWE ME PLEASE GIVE IT TO ME I AM WAITING YOU HAVE BEEN AVOIDING ME SINCE TWO THOUSAND AND THREE
|
| 38 |
```
|
| 39 |
OUTPUT 1:
|
| 40 |
```
|
| 41 |
+
When are you coming tomorrow? I am asking because of the money you owe me, please give it to me. I am waiting. You have been avoiding me since 2003.
|
| 42 |
```
|
| 43 |
|
| 44 |
INPUT 2:
|
|
|
|
| 48 |
|
| 49 |
OUTPUT 2:
|
| 50 |
```
|
| 51 |
+
Going along Slushy Country Roads and speaking to Damp audiences in Draughty School rooms day after day for a fortnight, he'll have to put in an appearance at some place of worship on Sunday morning and he can come to us immediately afterwards.
|
| 52 |
```
|
| 53 |
I strongly recommend improving the performance via further fine-tuning or by training more examples.
|
| 54 |
- Possible Quick Rule based improvements: Align the transcribed version and the generated version. If the similarity of two words (case-insensitive) vary by more than some threshold based on some similarity metric (e.g. Levenshtein), then keep the transcribed word.
|