fix: do not add special tokens for custom tokenizer #279

kmehant · 2024-08-02T05:52:28Z

Description

When custom tokenizer is provided, the flow that adds special tokens to the tokenizer should be skipped.

Tests

Added one unit test.

Signed-off-by: Mehant Kammakomati <mehant.kammakomati2@ibm.com>

kmehant · 2024-08-02T06:47:51Z

tests/build/test_launch_script.py

@@ -61,7 +61,6 @@
        "prompt_tuning_init": "RANDOM",
        "num_virtual_tokens": 8,
        "prompt_tuning_init_text": "hello",
-        "tokenizer_name_or_path": MODEL_NAME,


This will trigger custom tokenizer and does not add pad tokens which would fail this test, so had to remove it.

kmehant · 2024-08-02T06:49:21Z

tests/test_sft_trainer.py

        _validate_adapter_config(
-            adapter_config, "PROMPT_TUNING", MODEL_ARGS.tokenizer_name_or_path
+            adapter_config, "PROMPT_TUNING", MODEL_ARGS.model_name_or_path


since we are not modifying tokenizer_name_or_path post init of the dataclass and retaining it as is (None for default), I have reverted this check to use model_name_or_path instead since a custom tokenizer is not being passed in the prior code.

kmehant · 2024-08-02T06:50:27Z

tests/test_sft_trainer.py

+def test_run_causallm_pt_with_custom_tokenizer():
+    """Check if we fail when custom tokenizer not having pad token is used in prompt tuning"""
+    with tempfile.TemporaryDirectory() as tempdir:
+        train_args = copy.deepcopy(TRAIN_ARGS)
+        model_args = copy.deepcopy(MODEL_ARGS)
+        model_args.tokenizer_name_or_path = model_args.model_name_or_path
+        train_args.output_dir = tempdir
+        train_args.eval_strategy = "epoch"
+        data_args = copy.deepcopy(DATA_ARGS)
+        data_args.validation_data_path = TWITTER_COMPLAINTS_DATA
+        with pytest.raises(ValueError):
+            sft_trainer.train(model_args, data_args, train_args, PEFT_PT_ARGS)
+
+


Added a test to reproduce the pad token error when custom tokenizer not having pad token is used in prompt tuning. This as well tests that special tokens are being avoided when a custom tokenizer is passed.

kmehant · 2024-08-02T06:50:44Z

tuning/config/configs.py

+            "help": "Path to custom tokenizer. \
+                If not provided it defaults to model_name_or_path \
+                and special tokens will be added as needed for specific tokenizer classes. \
+                For prompt tuning, if tokenizer_name_or_path provided, special tokens are not added, \
+                otherwise, it defaults to model_name_or_path with special tokens for specific \
+                tokenizer classes."


Detailed on the usage of tokenizer_name_or_path.

kmehant · 2024-08-02T06:51:22Z

tuning/config/configs.py

-    def __post_init__(self):
-        if not self.tokenizer_name_or_path:
-            self.tokenizer_name_or_path = self.model_name_or_path
-



We dont want to do this anymore since its difficult to figure out if a custom tokenizer has been passed or not in the subsequent parts of the code.

kmehant · 2024-08-02T06:51:50Z

tuning/sft_trainer.py

+            model_args.tokenizer_name_or_path
+            if model_args.tokenizer_name_or_path
+            else model_args.model_name_or_path


if a custom tokenizer provided we pass it otherwise default to model_name_or_path

kmehant · 2024-08-02T06:52:45Z

tuning/sft_trainer.py

+        (
+            model_args.tokenizer_name_or_path
+            if model_args.tokenizer_name_or_path
+            else model_args.model_name_or_path
+        ),
    )


Even for PEFT, if custom tokenizer is passed we pass it on otherwise we still consider to pass model_name_or_path as tokenizer.

kmehant · 2024-08-02T06:53:07Z

tuning/sft_trainer.py

+    if not model_args.tokenizer_name_or_path:
+        # TODO: understand if we need to hardcode these here or just use defaults in model
+        if isinstance(tokenizer, (LlamaTokenizer, LlamaTokenizerFast)):
+            tokenizer.add_special_tokens(
+                {
+                    "bos_token": "<s>",
+                    "eos_token": "</s>",
+                    "unk_token": "<unk>",
+                    "pad_token": "<pad>",
+                }
+            )
+        elif isinstance(tokenizer, (GPT2Tokenizer, GPTNeoXTokenizerFast)):
+            tokenizer.add_special_tokens(
+                {
+                    "pad_token": "<pad>",
+                }
+            )


Skip this step when custom tokenizer is passed

kmehant · 2024-08-02T06:53:27Z

tuning/sft_trainer.py

+    # add special tokens only when a custom tokenizer is not passed
    special_tokens_dict = {}
-    if tokenizer.pad_token is None:
-        logger.warning("PAD token set to default, missing in tokenizer")
-        special_tokens_dict["pad_token"] = configs.DEFAULT_PAD_TOKEN
-    if tokenizer.eos_token is None:
-        logger.warning("EOS token set to default, missing in tokenizer")
-        special_tokens_dict["eos_token"] = configs.DEFAULT_EOS_TOKEN
-    if tokenizer.bos_token is None:
-        logger.warning("BOS token set to default, missing in tokenizer")
-        special_tokens_dict["bos_token"] = configs.DEFAULT_BOS_TOKEN
-    if tokenizer.unk_token is None:
-        logger.warning("UNK token set to default, missing in tokenizer")
-        special_tokens_dict["unk_token"] = configs.DEFAULT_UNK_TOKEN
+    if not model_args.tokenizer_name_or_path:
+        # TODO: we need to change this, perhaps follow what open instruct does?
+        if tokenizer.pad_token is None:
+            logger.warning("PAD token set to default, missing in tokenizer")
+            special_tokens_dict["pad_token"] = configs.DEFAULT_PAD_TOKEN
+        if tokenizer.eos_token is None:
+            logger.warning("EOS token set to default, missing in tokenizer")
+            special_tokens_dict["eos_token"] = configs.DEFAULT_EOS_TOKEN
+        if tokenizer.bos_token is None:
+            logger.warning("BOS token set to default, missing in tokenizer")
+            special_tokens_dict["bos_token"] = configs.DEFAULT_BOS_TOKEN
+        if tokenizer.unk_token is None:
+            logger.warning("UNK token set to default, missing in tokenizer")
+            special_tokens_dict["unk_token"] = configs.DEFAULT_UNK_TOKEN


Skip adding special tokens when custom tokenizer is passed

got it, makes sense

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Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Anh Uong <anh.uong@ibm.com> * enabling tests for prompt tuning (#278) Signed-off-by: Abhishek <maurya.abhishek@ibm.com> Co-authored-by: Anh Uong <anh.uong@ibm.com> * fix: do not add special tokens for custom tokenizer (#279) Signed-off-by: Mehant Kammakomati <mehant.kammakomati2@ibm.com> * PR changes for changing logger Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * fix: bug where the logger was not being used properly (#286) Signed-off-by: Hari <harikrishmenon@gmail.com> * Unit Tests changes Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Add functionality to free disk space from Github Actions (#287) * Add functionality to free disk space from Github Actions Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * Add functionality to free disk space from Github Actions, relocate from build-and-publish.yaml to image.yaml Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * Move freeing space step to before building image Signed-off-by: Will Johnson <mwjohnson728@gmail.com> --------- Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * commented os.environ[LOG_LEVEL] in accelerate.py for testing Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR changes Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * FIX:FMT Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR Changes Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * PR Changes Signed-off-by: Abhishek <maurya.abhishek@ibm.com> * Add unit test to verify target_modules defaults correctly (#281) * Add unit test to verify target_modules defaults correctly Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * Add sft_trainer.main test to ensure target modules properly default for LoRA when set to None from CLI Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * fmt Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * Use model_args instead of importing, fix nits Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * Add test to ensure target_modules defaults to None in job config Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * Add additional check, fix nits Signed-off-by: Will Johnson <mwjohnson728@gmail.com> --------- Signed-off-by: Will Johnson <mwjohnson728@gmail.com> * docs: Add documentation on experiment tracking. 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fix: do not add special tokens for custom tokenizer

4120b08

Signed-off-by: Mehant Kammakomati <mehant.kammakomati2@ibm.com>

kmehant force-pushed the fix-cust-tok branch from c5130fb to 4120b08 Compare August 2, 2024 06:40

kmehant commented Aug 2, 2024

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kmehant marked this pull request as ready for review August 2, 2024 06:54

kmehant requested review from anhuong, Ssukriti and alex-jw-brooks as code owners August 2, 2024 06:54

Ssukriti approved these changes Aug 5, 2024

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Ssukriti merged commit e0da345 into foundation-model-stack:main Aug 5, 2024
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fix: do not add special tokens for custom tokenizer #279

fix: do not add special tokens for custom tokenizer #279

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Ssukriti Aug 5, 2024

fix: do not add special tokens for custom tokenizer #279

fix: do not add special tokens for custom tokenizer #279

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kmehant commented Aug 2, 2024 • edited Loading

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kmehant commented Aug 2, 2024 •

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