refactor : neftune_alpha 在 Embedding 构造时传入,由模型配置链路负责

- BaseModelConfig 添加 neftune_alpha 字段 (默认 0.0)
- Embedding.__init__ 接受 neftune_alpha 参数,不再外部 set
- AutoRegressiveLM / EmbeddingEncoder 从 config 传入 neftune_alpha
- train.py 将 CLI 参数注入 config 后再创建模型
- TrainContextBuilder 移除 neftune 设置(不再是其职责)
This commit is contained in:
2026-06-19 14:23:27 +08:00
parent b1adc40cfb
commit 39985840c7
6 changed files with 13 additions and 5 deletions
+1
View File
@@ -309,6 +309,7 @@ def train(
# Load config
config_path = os.path.join(param_path, "config.json")
config = AutoRegressiveLMConfig.from_file(config_path)
config.neftune_alpha = neftune_alpha
if window_size is None:
window_size = config.max_len