Update numbers

README.md

@@ -22,15 +22,15 @@ This is a pruned version of [openai/whisper-small](https://huggingface.co/openai
 Pruning was made without any fine-tuning. Method from [this post](https://medium.com/m/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fhow-to-adapt-a-multilingual-t5-model-for-a-single-language-b9f94f3d9c90) was used.
 
 ## Size
-Only 10% tokens was left including special whisper tokens, added whisper tokens, 100 most popular tokens from tokenizer and 3000 most popular Russian tokens computed by tokenization of russian text corpus.
+Only 10% tokens was left including special whisper tokens (no language tokens except \<|ru|\> and \<|en|\>, no timestamp tokens), 200 most popular tokens from tokenizer and 4000 most popular Russian tokens computed by tokenization of russian text corpus.
 
 Model size is 15%  less then original whisper-small:
 |  | openai/whisper-small | waveletdeboshir/whisper-small-ru-pruned |
 | :------ | :------ | :------ |
 | n of parameters | 242 M | 205 M |
-| n of parameters (with proj_out layer) | 281 M | 209 M |
-| model file size | 967 Mb | 837 Mb |
-| vocab_size | 51865 | 4705 |
+| n of parameters (with proj_out layer) | 281 M | 208 M |
+| model file size | 967 Mb | 834 Mb |
+| vocab_size | 51865 | 4207 |
 
 ## Usage
 Model can be used as an original whisper: