modifiy cache path rule for pretrain datasets to fix bug #285
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…del and redo tokenizer when source file changed .
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Current version of train.py use single cache file per jsonl for pretrain data. When pretrain different model or the jsonl is modified, it will still use the old cached version and lead to incorrent result.
add model_path_or _name and the modify time of jsonl to cache path , will support different model and redo tokenize when source file changed .