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Code Issues Packages Projects Releases Wiki Activity

Use ungated models for unit tests (#196)

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* Fix unit test

* Fix chat template tests

* Remove deprecated test

* up
This commit is contained in:
lewtun
2024-08-19 12:33:11 +02:00
committed by GitHub
parent 28bf902477
commit a8dcde2cd3
3 changed files with 11 additions and 25 deletions
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src/alignment/data.py
+1 -1
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@@ -32,7 +32,7 @@ def maybe_insert_system_message(messages, tokenizer):
# chat template can be one of two attributes, we check in order
chat_template = tokenizer.chat_template
if chat_template is None:
chat_template = tokenizer.default_chat_template
chat_template = tokenizer.get_chat_template()
# confirm the jinja template refers to a system message before inserting
if "system" in chat_template or "<|im_start|>" in chat_template:
tests/test_data.py
+10 -10
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@@ -122,21 +122,21 @@ class ApplyChatTemplateTest(unittest.TestCase):
)
def test_maybe_insert_system_message(self):
# does not accept system prompt
mistral_tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2")
# accepts system prompt. use codellama since it has no HF token requirement
llama_tokenizer = AutoTokenizer.from_pretrained("codellama/CodeLlama-7b-hf")
# Chat template that does not accept system prompt. Use community checkpoint since it has no HF token requirement
tokenizer_sys_excl = AutoTokenizer.from_pretrained("mistral-community/Mistral-7B-Instruct-v0.3")
# Chat template that accepts system prompt
tokenizer_sys_incl = AutoTokenizer.from_pretrained("Qwen/Qwen2-7B-Instruct")
messages_sys_excl = [{"role": "user", "content": "Tell me a joke."}]
messages_sys_incl = [{"role": "system", "content": ""}, {"role": "user", "content": "Tell me a joke."}]
mistral_messages = deepcopy(messages_sys_excl)
llama_messages = deepcopy(messages_sys_excl)
maybe_insert_system_message(mistral_messages, mistral_tokenizer)
maybe_insert_system_message(llama_messages, llama_tokenizer)
messages_proc_excl = deepcopy(messages_sys_excl)
message_proc_incl = deepcopy(messages_sys_excl)
maybe_insert_system_message(messages_proc_excl, tokenizer_sys_excl)
maybe_insert_system_message(message_proc_incl, tokenizer_sys_incl)
# output from mistral should not have a system message, output from llama should
self.assertEqual(mistral_messages, messages_sys_excl)
self.assertEqual(llama_messages, messages_sys_incl)
self.assertEqual(messages_proc_excl, messages_sys_excl)
self.assertEqual(message_proc_incl, messages_sys_incl)
def test_sft(self):
dataset = self.dataset.map(
tests/test_model_utils.py
-14
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@@ -15,7 +15,6 @@
import unittest
import torch
from transformers import AutoTokenizer
from alignment import (
DataArguments,
@@ -64,19 +63,6 @@ class GetTokenizerTest(unittest.TestCase):
tokenizer = get_tokenizer(self.model_args, DataArguments())
self.assertEqual(tokenizer.chat_template, DEFAULT_CHAT_TEMPLATE)
def test_default_chat_template_no_overwrite(self):
"""
If no chat template is passed explicitly in the config, then for models with a
`default_chat_template` but no `chat_template` we do not set a `chat_template`,
and that we do not change `default_chat_template`
"""
model_args = ModelArguments(model_name_or_path="m-a-p/OpenCodeInterpreter-SC2-7B")
base_tokenizer = AutoTokenizer.from_pretrained("m-a-p/OpenCodeInterpreter-SC2-7B")
processed_tokenizer = get_tokenizer(model_args, DataArguments())
assert getattr(processed_tokenizer, "chat_template") is None
self.assertEqual(base_tokenizer.default_chat_template, processed_tokenizer.default_chat_template)
def test_chatml_chat_template(self):
chat_template = "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}"
tokenizer = get_tokenizer(self.model_args, DataArguments(chat_template=chat_template))