Feat: Warns to add to modules_to_save when adding tokens or switching special_tokens (#787)

* Feat: Auto add to modules_to_save when adding tokens

* fix: swap to error instead of warning

* feat: add check when special_tokens differ and add test
This commit is contained in:
NanoCode012
2023-12-22 21:49:07 +09:00
committed by GitHub
parent 62ba1609b6
commit 1ffa3866f2
4 changed files with 104 additions and 0 deletions

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@@ -448,6 +448,20 @@ def validate_config(cfg):
if cfg.neftune_noise_alpha is not None and cfg.neftune_noise_alpha <= 0.0:
raise ValueError("neftune_noise_alpha must be > 0.0")
if (
cfg.adapter
and cfg.tokens
and (
not cfg.lora_modules_to_save
or not all(
x in cfg.lora_modules_to_save for x in ["embed_tokens", "lm_head"]
)
)
):
raise ValueError(
"lora_modules_to_save not properly set yet adding new tokens. Please add `embed_tokens` and `lm_head` to `lora_modules_to_save`."
)
# TODO
# MPT 7b
# https://github.com/facebookresearch/bitsandbytes/issues/25

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@@ -136,6 +136,23 @@ def load_tokenizer(cfg):
if cfg.special_tokens:
for k, val in cfg.special_tokens.items():
# check if new special token is not already in tokenizer and
# is adapter training to make sure lora_modules_to_save is set
if (
(getattr(tokenizer, k) is None or getattr(tokenizer, k) != val)
and cfg.adapter
and (
not cfg.lora_modules_to_save
or not all(
x in cfg.lora_modules_to_save
for x in ["embed_tokens", "lm_head"]
)
)
):
raise ValueError(
"Please set lora_modules_to_save to ['embed_tokens', 'lm_head'] when using an adapter and changing the special tokens."
)
tokenizer.add_special_tokens(
{k: AddedToken(val, rstrip=False, lstrip=False, normalized=False)}
)

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@@ -3,6 +3,8 @@ Test cases for the tokenizer loading
"""
import unittest
import pytest
from axolotl.utils.dict import DictDefault
from axolotl.utils.models import load_tokenizer
@@ -31,6 +33,40 @@ class TestTokenizers(unittest.TestCase):
tokenizer = load_tokenizer(cfg)
assert "Fast" not in tokenizer.__class__.__name__
def test_special_tokens_modules_to_save(self):
# setting special_tokens to new token
cfg = DictDefault(
{
"tokenizer_config": "huggyllama/llama-7b",
"adapter": "lora",
"special_tokens": {"bos_token": "[INST]"},
}
)
with pytest.raises(
ValueError,
match=r".*Please set lora_modules_to_save*",
):
load_tokenizer(cfg)
# setting special_tokens but not changing from default
cfg = DictDefault(
{
"tokenizer_config": "huggyllama/llama-7b",
"adapter": "lora",
"special_tokens": {"bos_token": "<s>"},
}
)
load_tokenizer(cfg)
# non-adapter setting special_tokens
cfg = DictDefault(
{
"tokenizer_config": "huggyllama/llama-7b",
"special_tokens": {"bos_token": "[INST]"},
}
)
load_tokenizer(cfg)
if __name__ == "__main__":
unittest.main()

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@@ -682,6 +682,43 @@ class ValidationTest(unittest.TestCase):
validate_config(cfg)
def test_add_tokens_adapter(self):
cfg = DictDefault(
{"adapter": "qlora", "load_in_4bit": True, "tokens": ["<|imstart|>"]}
)
with pytest.raises(
ValueError,
match=r".*lora_modules_to_save not properly set yet adding new tokens*",
):
validate_config(cfg)
cfg = DictDefault(
{
"adapter": "qlora",
"load_in_4bit": True,
"tokens": ["<|imstart|>"],
"lora_modules_to_save": ["embed_tokens"],
}
)
with pytest.raises(
ValueError,
match=r".*lora_modules_to_save not properly set yet adding new tokens*",
):
validate_config(cfg)
cfg = DictDefault(
{
"adapter": "qlora",
"load_in_4bit": True,
"tokens": ["<|imstart|>"],
"lora_modules_to_save": ["embed_tokens", "lm_head"],
}
)
validate_config(cfg)
class ValidationWandbTest(ValidationTest):
"""