tocmo0nlord/axolotl
1
0
Fork 0
Code Issues Pull Requests Actions 3 Packages Projects Releases Wiki Activity

fix: use apply_chat_template to find turn boundaries and allow tool_calling field (#2179) [skip ci]

Browse Source 
* fix: use apply_chat_template to find turn boundaries and allow tool_calling field

* fix: keys to include in turn

* feat(doc): explicitly recommend setting train_on_eos and roles_to_train

* fix: eos not being masked for tool due to template padding

* chore: clear up docs

* fix: default messages format, train_on_eos: turn, and train on all assistant msg

* fix: properly warn if empty content

* feat: parametrize chat_template tests to test different tokenizers

* fix: set proper default for message key

* fix: update defaults to match load function

* fix: change defaults to use new

* feat: add tool_calling dataset

* feat: add tool_calling test

* fix: add handling of edge case of mistral tokenizer with only system prompt

* feat: refactor all test to follow source code

* fix: remove unnecessary eos_token from phi35

* fix test for phi3.5 since eos was dropped from chat_template

---------

Co-authored-by: Wing Lian <wing@axolotl.ai>
This commit is contained in:
NanoCode012
2024-12-18 04:42:21 +07:00
committed by GitHub
parent 339f3c67e2
commit 10cfecf02e
7 changed files with 924 additions and 352 deletions
Download Patch File Download Diff File Expand all files Collapse all files

163
tests/prompt_strategies/test_chat_templates.py
View File

@@ -140,7 +140,6 @@ class TestAssistantChatTemplateLlama3:
1781, 26966, 32007, # user eot
32001, # assistant
1781, 26966, 32007, # assistant eot
32000, # eos
]
expected_labels = [
-100, # user
@@ -151,7 +150,6 @@ class TestAssistantChatTemplateLlama3:
-100, -100, -100, # user eot
-100, # assistant
1781, 26966, 32007, # assistant eot
32000, # eos
]
# fmt: on
LOG.debug(f"Expected input_ids: {expected_input_ids}")
@@ -230,7 +228,10 @@ class TestSharegptChatTemplateLlama3:
# pylint: disable=duplicate-code
strategy = ChatTemplateStrategy(
ChatTemplatePrompter(
llama3_tokenizer, chat_template=get_chat_template("llama3")
llama3_tokenizer,
chat_template=get_chat_template("llama3"),
message_field_role="from",
message_field_content="value",
),
tokenizer=llama3_tokenizer,
train_on_inputs=False,
@@ -238,6 +239,7 @@ class TestSharegptChatTemplateLlama3:
sequence_len=512,
roles_to_train=["gpt"],
)
strategy.messages = "conversations"
res = strategy.tokenize_prompt(sharegpt_dataset[0])
input_ids = res["input_ids"]
labels = res["labels"]
@@ -283,7 +285,10 @@ class TestSharegptChatTemplateLlama3:
# pylint: disable=duplicate-code
strategy = ChatTemplateStrategy(
ChatTemplatePrompter(
llama3_tokenizer, chat_template=get_chat_template("llama3")
llama3_tokenizer,
chat_template=get_chat_template("llama3"),
message_field_role="from",
message_field_content="value",
),
tokenizer=llama3_tokenizer,
train_on_inputs=False,
@@ -291,6 +296,7 @@ class TestSharegptChatTemplateLlama3:
sequence_len=512,
roles_to_train=["human"],
)
strategy.messages = "conversations"
res = strategy.tokenize_prompt(sharegpt_dataset[0])
input_ids = res["input_ids"]
labels = res["labels"]
@@ -336,7 +342,10 @@ class TestSharegptChatTemplateLlama3:
# pylint: disable=duplicate-code
strategy = ChatTemplateStrategy(
ChatTemplatePrompter(
llama3_tokenizer, chat_template=get_chat_template("llama3")
llama3_tokenizer,
chat_template=get_chat_template("llama3"),
message_field_role="from",
message_field_content="value",
),
tokenizer=llama3_tokenizer,
train_on_inputs=False,
@@ -344,6 +353,7 @@ class TestSharegptChatTemplateLlama3:
sequence_len=512,
roles_to_train=["system", "human"],
)
strategy.messages = "conversations"
res = strategy.tokenize_prompt(basic_dataset[0])
input_ids = res["input_ids"]
labels = res["labels"]
@@ -389,5 +399,148 @@ class TestSharegptChatTemplateLlama3:
), f"Labels mismatch: {labels} != {expected_labels}"
class TestAssistantToolCallingChatTemplateLlama32Vision:
"""
Test class for assistant style datasets with tool_calling prompts using the llama-32_vision chat template.
"""
def test_llama32vision_train_on_assistant(
self, llama3_tokenizer, toolcalling_dataset, llama3_2_vision_chat_template_jinja
):
LOG.info(
"Testing assistant style datasets with tool_calling with llama-32 chat template, training on assistant"
)
strategy = ChatTemplateStrategy(
ChatTemplatePrompter(
llama3_tokenizer,
chat_template=get_chat_template(
"jinja", jinja_template=llama3_2_vision_chat_template_jinja
),
message_field_role="role",
message_field_content="content",
),
tokenizer=llama3_tokenizer,
train_on_inputs=False,
train_on_eos="turn",
sequence_len=512,
roles_to_train=["assistant"],
)
res = strategy.tokenize_prompt(toolcalling_dataset[0])
input_ids = res["input_ids"]
labels = res["labels"]
# fmt: off
expected_input_ids = [
128000, # bos
128006, 9125, 128007, 271, # system header
38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1114, 3799, 220, 2366, 19, 271, # system date prompt
2675, 527, 264, 11164, 430, 31680, 311, 9282, 20126, 13, 1472, 1288, 10052, 449, 279, 5089, 1511, 304, 279, 79002, 3813, 13, 128009, # system message
128006, 882, 128007, 271, # user header
19182, 11, 1148, 596, 279, 9499, 304, 12366, 1314, 1457, 30, 128009, # user message
128006, 78191, 128007, 271, # assistant header
5018, 609, 794, 330, 456, 11327, 54625, 498, 330, 14105, 794, 5324, 2588, 794, 330, 60704, 11, 9822, 498, 330, 3928, 794, 330, 66, 41347, 32075, 128009, # assistant message
128006, 23799, 4690, 128007, 271, # tool header
1, 1313, 13, 15, 1, 128009, # tool message
128006, 78191, 128007, 271, # assistant header
791, 9499, 304, 12366, 374, 220, 1313, 13, 15, 12628, 62447, 13, 128009 # assistant message
]
expected_labels = [
IGNORE_TOKEN_ID, # bos
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # system header
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # system date prompt
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # system message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # user header
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # user message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # assistant header
5018, 609, 794, 330, 456, 11327, 54625, 498, 330, 14105, 794, 5324, 2588, 794, 330, 60704, 11, 9822, 498, 330, 3928, 794, 330, 66, 41347, 32075, 128009, # assistant message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # tool header
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # tool message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # assistant header
791, 9499, 304, 12366, 374, 220, 1313, 13, 15, 12628, 62447, 13, 128009 # assistant message
]
# fmt: on
assert (
input_ids == expected_input_ids
), f"Input IDs mismatch: {input_ids} != {expected_input_ids}"
assert (
labels == expected_labels
), f"Labels mismatch: {labels} != {expected_labels}"
def test_llama32vision_train_on_tools(
self, llama3_tokenizer, toolcalling_dataset, llama3_2_vision_chat_template_jinja
):
LOG.info(
"Testing assistant style datasets with tool_calling with llama-32 chat template, training on tools"
)
# pylint: disable=duplicate-code
strategy = ChatTemplateStrategy(
ChatTemplatePrompter(
llama3_tokenizer,
chat_template=get_chat_template(
"jinja", jinja_template=llama3_2_vision_chat_template_jinja
),
message_field_role="role",
message_field_content="content",
),
tokenizer=llama3_tokenizer,
train_on_inputs=False,
train_on_eos="turn",
sequence_len=512,
roles_to_train=["assistant", "tool"],
)
res = strategy.tokenize_prompt(toolcalling_dataset[0])
input_ids = res["input_ids"]
labels = res["labels"]
# fmt: off
expected_input_ids = [
128000, # bos
128006, 9125, 128007, 271, # system header
38766, 1303, 33025, 2696, 25, 6790, 220, 2366, 18, 198, 15724, 2696, 25, 220, 1114, 3799, 220, 2366, 19, 271, # system date prompt
2675, 527, 264, 11164, 430, 31680, 311, 9282, 20126, 13, 1472, 1288, 10052, 449, 279, 5089, 1511, 304, 279, 79002, 3813, 13, 128009, # system message
128006, 882, 128007, 271, # user header
19182, 11, 1148, 596, 279, 9499, 304, 12366, 1314, 1457, 30, 128009, # user message
128006, 78191, 128007, 271, # assistant header
5018, 609, 794, 330, 456, 11327, 54625, 498, 330, 14105, 794, 5324, 2588, 794, 330, 60704, 11, 9822, 498, 330, 3928, 794, 330, 66, 41347, 32075, 128009, # assistant message
128006, 23799, 4690, 128007, 271, # tool header
1, 1313, 13, 15, 1, 128009, # tool message
128006, 78191, 128007, 271, # assistant header
791, 9499, 304, 12366, 374, 220, 1313, 13, 15, 12628, 62447, 13, 128009 # assistant message
]
expected_labels = [
IGNORE_TOKEN_ID, # bos
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # system header
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # system date prompt
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # system message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # user header
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # user message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # assistant header
5018, 609, 794, 330, 456, 11327, 54625, 498, 330, 14105, 794, 5324, 2588, 794, 330, 60704, 11, 9822, 498, 330, 3928, 794, 330, 66, 41347, 32075, 128009, # assistant message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # tool header
IGNORE_TOKEN_ID, 1313, 13, 15, IGNORE_TOKEN_ID, 128009, # tool message
IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, IGNORE_TOKEN_ID, # assistant header
791, 9499, 304, 12366, 374, 220, 1313, 13, 15, 12628, 62447, 13, 128009 # assistant message
]
# fmt: on
assert (
input_ids == expected_input_ids
), f"Input IDs mismatch: {input_ids} != {expected_input_ids}"
assert (
labels == expected_labels
), f"Labels mismatch: {labels} != {expected_labels}"
if __name__ == "__main__":
unittest.main()