tocmo0nlord/axolotl
1
0
Fork 0
Code Issues Pull Requests Actions 2 Packages Projects Releases Wiki Activity

chore: lint

Browse Source
This commit is contained in:
Wing Lian
2025-01-10 02:18:55 -05:00
parent f7334a1719
commit ab491804e0
1 changed files with 8 additions and 9 deletions
Download Patch File Download Diff File Expand all files Collapse all files

17
src/axolotl/core/trainers/base.py
View File

@@ -13,7 +13,6 @@ from functools import wraps
from typing import Any, Dict, Literal, Optional, Union from typing import Any, Dict, Literal, Optional, Union
import torch import torch
import transformers
from datasets import Dataset from datasets import Dataset
from peft.optimizers import create_loraplus_optimizer from peft.optimizers import create_loraplus_optimizer
from torch import nn from torch import nn
@@ -76,7 +75,7 @@ class SchedulerMixin(Trainer):
Mixin class for scheduler setup in CausalTrainer. Mixin class for scheduler setup in CausalTrainer.
""" """
args = None # type: AxolotlTrainingArguments args = None # type: "AxolotlTrainingArguments" # type: ignore[name-defined]
def create_scheduler( def create_scheduler(
self, num_training_steps: int, optimizer: torch.optim.Optimizer = None self, num_training_steps: int, optimizer: torch.optim.Optimizer = None
@@ -162,7 +161,7 @@ class AxolotlTrainer(SchedulerMixin, Trainer):
Extend the base Trainer for axolotl helpers Extend the base Trainer for axolotl helpers
""" """
args = None # type: AxolotlTrainingArguments args = None # type: "AxolotlTrainingArguments" # type: ignore[name-defined]
tag_names = ["axolotl"] tag_names = ["axolotl"]
def __init__( def __init__(
@@ -202,12 +201,12 @@ class AxolotlTrainer(SchedulerMixin, Trainer):
and self.args.embedding_lr is None and self.args.embedding_lr is None
and self.args.alternate_optimizer and self.args.alternate_optimizer
not in [ not in [
"optimi_adamw", "optimi_adamw",
"ao_adamw_8bit", "ao_adamw_8bit",
"ao_adamw_4bit", "ao_adamw_4bit",
"ao_adamw_fp8", "ao_adamw_fp8",
"adopt_adamw", "adopt_adamw",
] ]
): ):
return super().create_optimizer() return super().create_optimizer()