From a750595594321833b48dc19798eed66876a100b4 Mon Sep 17 00:00:00 2001
From: ming030890 <67713085+ming030890@users.noreply.github.com>
Date: 星期五, 04 七月 2025 14:25:54 +0800
Subject: [PATCH] Fix a few issues found during fine-tuning (#2582)
---
funasr/train_utils/trainer_ds.py | 16 +++++++++-------
1 files changed, 9 insertions(+), 7 deletions(-)
diff --git a/funasr/train_utils/trainer_ds.py b/funasr/train_utils/trainer_ds.py
index a1430db..ce8809c 100644
--- a/funasr/train_utils/trainer_ds.py
+++ b/funasr/train_utils/trainer_ds.py
@@ -30,9 +30,8 @@
yield
else:
if dtype == torch.float16 or dtype == torch.bfloat16:
- yield
- # with autocast(enabled=True, dtype=dtype):
- # yield
+ with autocast(enabled=True, dtype=dtype):
+ yield
else:
yield
@@ -684,7 +683,7 @@
scaled_loss = model.backward(loss)
else:
loss = loss / self.accum_grad
- if self.use_fp16 or self.use_bf16:
+ if scaler:
scaler.scale(loss).backward()
else:
loss.backward()
@@ -712,7 +711,7 @@
# Execute an optimization step (update model parameters)
if self.use_ddp or self.use_fsdp:
dist.barrier()
- if self.use_fp16 or self.use_bf16:
+ if scaler:
scaler.step(optim)
scaler.update()
else:
@@ -736,6 +735,9 @@
Args:
epoch (int): The current epoch number.
"""
+ self.val_loss_avg = 0.0
+ self.val_acc_avg = 0.0
+
if self.use_ddp or self.use_fsdp or self.use_deepspeed:
dist.barrier()
logging.info(f"Validate epoch: {epoch}, rank: {self.rank}\n")
@@ -757,7 +759,7 @@
"data_split_i": kwargs.get("data_split_i", 0),
"data_split_num": kwargs.get("data_split_num", 1),
"log_step": batch_idx + kwargs.get("start_step", 0),
- "batch_total": batch_idx + 1,
+ "batch_total": self.batch_total,
"step_in_epoch": batch_idx + 1,
"lr": 0.0,
}
@@ -883,7 +885,7 @@
if self.use_wandb and wandb is not None:
wandb.log(
description_dict,
- setp=batch_total,
+ step=batch_total,
)
def close(self, writer=None):
--
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