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

@@ -2,7 +2,6 @@
 
 import abc
 import copy
-import functools
 import logging
 from typing import Dict, List, Tuple, Union
 
@@ -57,26 +56,6 @@ class PromptTokenizingStrategy(abc.ABC):
     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 @@ class ShareGPTPromptTokenizingStrategy(PromptTokenizingStrategy):
 
     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 @@ class ShareGPTPromptTokenizingStrategy(PromptTokenizingStrategy):
                             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 @@ class ShareGPTPromptTokenizingStrategy(PromptTokenizingStrategy):
                             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

src/axolotl/prompters.py

@@ -274,9 +274,11 @@ class ShareGPTPrompter:  # pylint: disable=too-few-public-methods
             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"])
 

tests/fixtures/conversation.tokenized.json

@@ -1 +1 @@
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tests/test_prompt_tokenizers.py

@@ -90,6 +90,73 @@ class TestPromptTokenizationStrategies(unittest.TestCase):
             strat.tokenize_prompt(conversation)
             assert "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