423A35C7/LLaMA-Factory
1
0
Fork 0
mirror of https://github.com/hiyouga/LLaMA-Factory.git synced 2025-12-16 11:50:35 +08:00
Code Issues Packages Projects Releases Wiki Activity

format style

Browse Source
This commit is contained in:
hiyouga
2024-01-20 20:15:56 +08:00
parent f6d6e00337
commit 638234ceee
73 changed files with 1492 additions and 2325 deletions
Download Patch File Download Diff File Expand all files Collapse all files

9
src/llmtuner/extras/ploting.py
View File

@@ -1,12 +1,14 @@
import os
import math
import json
import math
import os
from typing import List, Optional
from transformers.trainer import TRAINER_STATE_NAME
from .logging import get_logger
from .packages import is_matplotlib_available
if is_matplotlib_available():
import matplotlib.pyplot as plt
@@ -20,7 +22,7 @@ def smooth(scalars: List[float]) -> List[float]:
"""
last = scalars[0]
smoothed = list()
weight = 1.8 * (1 / (1 + math.exp(-0.05 * len(scalars))) - 0.5) # a sigmoid function
weight = 1.8 * (1 / (1 + math.exp(-0.05 * len(scalars))) - 0.5) # a sigmoid function
for next_val in scalars:
smoothed_val = last * weight + (1 - weight) * next_val
smoothed.append(smoothed_val)
@@ -29,7 +31,6 @@ def smooth(scalars: List[float]) -> List[float]:
def plot_loss(save_dictionary: os.PathLike, keys: Optional[List[str]] = ["loss"]) -> None:
with open(os.path.join(save_dictionary, TRAINER_STATE_NAME), "r", encoding="utf-8") as f:
data = json.load(f)