zolekode
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updated read me
Browse files- .gitattributes +6 -0
- README.md +3 -3
.gitattributes
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@@ -20,3 +20,9 @@ t5-small-wav2vec2-grammar-fixer/tokenizer_config.json filter=lfs diff=lfs merge=
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t5-small-wav2vec2-grammar-fixer/config.json filter=lfs diff=lfs merge=lfs -text
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t5-small-wav2vec2-grammar-fixer/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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t5-small-wav2vec2-grammar-fixer/special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
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t5-small-wav2vec2-grammar-fixer/config.json filter=lfs diff=lfs merge=lfs -text
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t5-small-wav2vec2-grammar-fixer/pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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t5-small-wav2vec2-grammar-fixer/special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
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config.json filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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special_tokens_map.json filter=lfs diff=lfs merge=lfs -text
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spiece.model filter=lfs diff=lfs merge=lfs -text
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tf_model.h5 filter=lfs diff=lfs merge=lfs -text
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tokenizer_config.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -34,11 +34,11 @@ print(f"{sentence}")
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INPUT 1:
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```
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-
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```
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OUTPUT 1:
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```
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-
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```
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INPUT 2:
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OUTPUT 2:
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```
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Going along Slushy Country Roads and speaking to
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```
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I strongly recommend improving the performance via further fine-tuning or by training more examples.
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- 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.
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INPUT 1:
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```
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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
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```
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OUTPUT 1:
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```
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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.
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```
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INPUT 2:
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OUTPUT 2:
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```
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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.
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```
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I strongly recommend improving the performance via further fine-tuning or by training more examples.
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- 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.
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