update sharegpt conversations when chatml chat template is set (#1075) [skip ci]
* update sharegpt conversations when chatml chat template is set * add info log when updating sharegpt/chatml conversation
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@@ -25,7 +25,11 @@ from transformers import GenerationConfig, TextIteratorStreamer, TextStreamer
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from axolotl.common.cli import TrainerCliArgs, load_model_and_tokenizer
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from axolotl.logging_config import configure_logging
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from axolotl.train import TrainDatasetMeta
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from axolotl.utils.config import normalize_config, validate_config
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from axolotl.utils.config import (
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normalize_cfg_datasets,
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normalize_config,
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validate_config,
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)
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from axolotl.utils.data import prepare_dataset
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from axolotl.utils.dict import DictDefault
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from axolotl.utils.distributed import is_main_process
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@@ -289,6 +293,8 @@ def load_cfg(config: Path = Path("examples/"), **kwargs):
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normalize_config(cfg)
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normalize_cfg_datasets(cfg)
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setup_wandb_env_vars(cfg)
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setup_mlflow_env_vars(cfg)
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@@ -150,6 +150,21 @@ def normalize_config(cfg):
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log_gpu_memory_usage(LOG, "baseline", cfg.device)
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def normalize_cfg_datasets(cfg):
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"""
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helpers for mapping chat_template to various dataset configurations as necessary
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"""
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if cfg.chat_template and cfg.chat_template == "chatml":
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if cfg.datasets:
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for idx, ds_cfg in enumerate(cfg.datasets):
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if ds_cfg.type == "sharegpt" and not ds_cfg.conversation:
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LOG.info(
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f"updating dataset {ds_cfg.path} with `conversation: chatml` to match your chat_template"
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)
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cfg.datasets[idx].conversation = "chatml"
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def validate_config(cfg):
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"""
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This is a "pre-validation" step that handles the yaml configuration before we have any
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@@ -3,7 +3,7 @@ Test classes for checking functionality of the cfg normalization
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"""
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import unittest
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from axolotl.utils.config import normalize_config
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from axolotl.utils.config import normalize_cfg_datasets, normalize_config
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from axolotl.utils.dict import DictDefault
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@@ -44,3 +44,26 @@ class NormalizeConfigTestCase(unittest.TestCase):
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normalize_config(cfg)
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assert cfg.base_model_config == cfg.base_model
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def test_chat_template_chatml(self):
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cfg = DictDefault(
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{
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"chat_template": "chatml",
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"datasets": [
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{
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"path": "lorem/ipsum",
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"type": "sharegpt",
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"conversation": "vicuna_v1.1",
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},
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{
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"path": "sit/amet",
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"type": "sharegpt",
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},
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],
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}
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)
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normalize_cfg_datasets(cfg)
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assert cfg.datasets[0].conversation == "vicuna_v1.1"
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assert cfg.datasets[1].conversation == "chatml"
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