Update README.md

README.md

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----
-license: unknown
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+---
+license: unknown
+task_categories:
+- translation
+language:
+- ja
+- zh
+---
+# Derived from larryvrh/CCMatrix-v1-Ja_Zh-filtered
+Made some changes to the dataset to train the new mt5-base model
+* since it's all from the community anyway so i disclose this.
+* putting lora adapters isn't sufficient to solve old and general habits
+## weakness of the translation model
+* translation stops or repeats after 30 words, and doesnt recognize line breaks
+  * the dataset generally too short, 83% below 50 words
+  * solution: fused some sentenses with " ","。" or line breaks to make them longer
+    * now it has similar percentage of each length
+    * mt5 doesn't handle well above 250 due to default length
+* model can't decide which “ to use, and it randomly add or remove non-words or numbers
+  * the dataset itself dirty with this aspect, becomes old habit
+  * solution: filtered all the data where two side don't match on number of non-words
+    * they are cool as lora features, but I don't want them in the base
+* model has habits of not translation words when translate item descriptions
+  * there are some description-like samples in the dataset, with untranslated ja characters
+  * solution: removed them
+    * they are mistakes