From 87b62d68957a2194b017a43b6c2a15424a05a984 Mon Sep 17 00:00:00 2001
From: Carl <415692979@qq.com>
Date: 星期三, 27 三月 2024 19:15:47 +0800
Subject: [PATCH] <funasr>: <punc online> (#1552)
---
funasr/train_utils/trainer.py | 7 ++++---
1 files changed, 4 insertions(+), 3 deletions(-)
diff --git a/funasr/train_utils/trainer.py b/funasr/train_utils/trainer.py
index 491e851..55dce99 100644
--- a/funasr/train_utils/trainer.py
+++ b/funasr/train_utils/trainer.py
@@ -79,7 +79,7 @@
self.validate_interval = kwargs.get("validate_interval", 5000)
self.keep_nbest_models = kwargs.get("keep_nbest_models", 500)
self.avg_keep_nbest_models_type = kwargs.get("avg_keep_nbest_models_type", "acc")
- self.avg_nbest_model = kwargs.get("avg_nbest_model", 5)
+ self.avg_nbest_model = kwargs.get("avg_nbest_model", 10)
self.accum_grad = kwargs.get("accum_grad", 1)
self.grad_clip = kwargs.get("grad_clip", 10.0)
self.grad_clip_type = kwargs.get("grad_clip_type", 2.0)
@@ -377,7 +377,8 @@
model=model,
dataloader_val=dataloader_val,
epoch=epoch,
- writer=writer
+ writer=writer,
+ step=batch_idx+1,
)
if (batch_idx+1) % self.save_checkpoint_interval == 0:
@@ -523,7 +524,7 @@
f"step: {batch_idx + 1}/{batch_num_epoch}, total step: {self.batch_total}, "
f"(loss_avg_rank: {loss:.3f}), "
f"(loss_avg_epoch: {loss_avg_epoch:.3f}), "
- f"(ppl_avg_epoch: {math.exp(loss_avg_epoch):.3f}), "
+ f"(ppl_avg_epoch: {math.exp(loss_avg_epoch):.3e}), "
f"(acc_avg_epoch: {acc_avg_epoch:.3f}), "
f"(lr: {lr:.3e}), "
f"{[(k, round(v.detach().cpu().item(), 3)) for k, v in stats.items()]}, "
--
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