From 72c71eb4b052d4e27ae9c804b80397be9bb42c54 Mon Sep 17 00:00:00 2001 From: Wing Lian Date: Fri, 13 Oct 2023 11:04:39 -0400 Subject: [PATCH] misc sharegpt fixes (#723) * support for sharegpt with assistant talking first, better masking of assistant token, allow remap of roles from dataset * invalid role is actually not possible * update tokenized fixture for corrected labels --- src/axolotl/prompt_tokenizers.py | 68 +++++++++++----------- src/axolotl/prompters.py | 6 +- tests/fixtures/conversation.tokenized.json | 2 +- tests/test_prompt_tokenizers.py | 67 +++++++++++++++++++++ 4 files changed, 107 insertions(+), 36 deletions(-) diff --git a/src/axolotl/prompt_tokenizers.py b/src/axolotl/prompt_tokenizers.py index 1b3933664..4e30b81a7 100644 --- a/src/axolotl/prompt_tokenizers.py +++ b/src/axolotl/prompt_tokenizers.py @@ -2,7 +2,6 @@ import abc import copy -import functools import logging from typing import Dict, List, Tuple, Union @@ -57,26 +56,6 @@ def tokenize_prompt(self, prompt): def supports_batched(self): return False - @functools.lru_cache(maxsize=128) - def _get_user_token(self): - try: - id_or_ids = self.tokenizer.convert_tokens_to_ids("<|USER|>") - if isinstance(id_or_ids, (int,)): - return id_or_ids - except KeyError: - pass - return False - - @functools.lru_cache(maxsize=128) - def _get_assistant_token(self): - try: - id_or_ids = self.tokenizer.convert_tokens_to_ids("<|ASSISTANT|>") - if isinstance(id_or_ids, (int,)): - return id_or_ids - except KeyError: - pass - return False - def _tokenize( self, prompt: str, add_eos_token: bool = True, strip_bos_token: bool = False ) -> BatchEncoding: @@ -356,18 +335,34 @@ def get_conversation_thread(self, prompt): def tokenize_prompt(self, prompt): result, current_len = tokenize_prompt_default() - user_token = self._get_user_token() - assistant_token = self._get_assistant_token() conversation: Conversation = ( - self.prompter._conversation # pylint: disable=protected-access + self.prompter._conversation.copy() # pylint: disable=protected-access ) + + # support for custom roles from the dataset, only useful for vicuna style prompts/roles + role_remap = [] + if ( + conversation.name == "vicuna_v1.1" + and "roles" in prompt + and len(prompt["roles"]) >= 2 + ): + role_remap = [ + {"from": conversation.roles[0], "to": prompt["roles"][0]}, + {"from": conversation.roles[1], "to": prompt["roles"][1]}, + ] + try: for _, part in enumerate( self.prompter.build_prompt(self.get_conversation_thread(prompt)) ): if isinstance(part, tuple): if conversation.roles[0] in part[0]: - turn = part[0] + part[1] if not user_token else part[1] + role = ( + part[0].replace(role_remap[0]["from"], role_remap[0]["to"]) + if role_remap + else part[0] + ) + turn = role + part[1] # this is still the user query, we should if not part[1].strip(): LOG.warning(f"user turn has empty text: {prompt}") @@ -376,13 +371,16 @@ def tokenize_prompt(self, prompt): add_eos_token=False, strip_bos_token=True, ) - if user_token: - res["input_ids"] = [user_token, *res["input_ids"]] # everything from this is masked out from the labels labels = [IGNORE_TOKEN_ID] * len(res["input_ids"]) elif conversation.roles[1] in part[0]: # TODO label assistant token/tokens w/ IGNORE_TOKEN_ID - turn = part[0] + part[1] if not assistant_token else part[1] + role = ( + part[0].replace(role_remap[1]["from"], role_remap[1]["to"]) + if role_remap + else part[0] + ) + turn = role + part[1] # this should be the assistant response, should end with an eos token if not part[1].strip(): LOG.warning(f"assistant turn has empty text: {prompt}") @@ -391,13 +389,17 @@ def tokenize_prompt(self, prompt): add_eos_token=True, strip_bos_token=True, ) - if assistant_token: - res["input_ids"] = [ - assistant_token, - *res["input_ids"], - ] + role_res = self._tokenize( + role.rstrip(), + add_eos_token=False, + strip_bos_token=True, + ) # not masked out from labels labels = copy.deepcopy(res["input_ids"]) + len_role = len(role_res["input_ids"]) + labels[:len_role] = [IGNORE_TOKEN_ID] * min( + len_role, len(labels) + ) elif part[0] == "": turn = part[1] # this is only ever the first part, should include the bos token and the user query diff --git a/src/axolotl/prompters.py b/src/axolotl/prompters.py index 370e15091..7cd89886a 100644 --- a/src/axolotl/prompters.py +++ b/src/axolotl/prompters.py @@ -274,9 +274,11 @@ def build_prompt(self, source) -> Generator[str, None, None]: raise err conv.messages = [] - for j, sentence in enumerate(source): + for _, sentence in enumerate(source): role = roles[sentence["from"]] - if role != conv.roles[j % 2]: + if len(conv.messages) > 0 and ( + (role == conv.messages[-1][0]) or (role not in conv.roles) + ): LOG.warning(f"{SHAREGPT_ASSERTION_FAILED_ROLE}: {sentence}") conv.append_message(role, sentence["value"]) diff --git a/tests/fixtures/conversation.tokenized.json b/tests/fixtures/conversation.tokenized.json index ea4fca099..4b7334cc1 100644 --- a/tests/fixtures/conversation.tokenized.json 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"assistant turn has empty text" in self._caplog.records[1].message + def test_sharegpt_warnings_turns(self): + conversation = { + "conversations": [ + {"from": "system", "value": "lorem"}, + {"from": "gpt", "value": "ipsum"}, + {"from": "human", "value": "dolor"}, + {"from": "human", "value": "dolor"}, + {"from": "gpt", "value": "sit"}, + ] + } + prompter = ShareGPTPrompterV2() + strat = ShareGPTPromptTokenizingStrategy( + prompter, + self.tokenizer, + False, + 2048, + ) + with self._caplog.at_level(logging.WARNING): + strat.tokenize_prompt(conversation) + assert ( + "Role did not alternate between turns (gpt and human)" + in self._caplog.records[0].message + ) + + def test_sharegpt_changes_roles(self): + conversation = { + "roles": ["USER", "CHARACTER"], + "conversations": [ + {"from": "system", "value": "lorem"}, + {"from": "gpt", "value": "ipsum"}, + {"from": "human", "value": "dolor"}, + {"from": "gpt", "value": "sit"}, + ], + } + prompter = ShareGPTPrompterV2() + strat = ShareGPTPromptTokenizingStrategy( + prompter, + self.tokenizer, + False, + 2048, + ) + with self._caplog.at_level(logging.WARNING): + res = strat.tokenize_prompt(conversation) + assert "CHARACTER" in self.tokenizer.decode(res["input_ids"]) + + def test_sharegpt_assistant_label_ignore(self): + conversation = { + "roles": ["user", "assistant"], + "conversations": [ + {"from": "system", "value": "lorem"}, + {"from": "gpt", "value": "ipsum"}, + {"from": "human", "value": "dolor"}, + {"from": "gpt", "value": "sit"}, + ], + } + prompter = ShareGPTPrompterV2() + strat = ShareGPTPromptTokenizingStrategy( + prompter, + self.tokenizer, + False, + 2048, + ) + with self._caplog.at_level(logging.WARNING): + res = strat.tokenize_prompt(conversation) + idx = res["input_ids"].index(20255) # assistant token + assert res["labels"][idx] == -100 + def test_no_sys_prompt(self): """ tests the interface between the user and assistant parts