重新进行合成器训练,发现一些数字,有影响吗?
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- Python
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Description
{| Epoch: 1/1 (9500/51223) | Loss: 0.5770 | 0.61 steps/s | Step: 9k | }Input at step 9500: 52311 bei3 jing1 ya4 ding1 wan1 shang1 wu4 jiu3 dian4~__________________________________________________________________________
{| Epoch: 1/1 (10000/51223) | Loss: 0.5880 | 0.67 steps/s | Step: 10k | }Input at step 10000: 52554 shi1 mian2 la5 ji2 xu1 ji3 shou3 ai1 shang1 de5 liu2 xing2 ge1 qu3 bai4 tuo1 le5~___
拼音前的52311是啥意思?是不是数据集有问题?对训练结果有无影响?
Contributor guide
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Research direction
Start from the training log excerpts in the issue and trace where the displayed input text and numeric prefixes are produced. Determine whether 52311 and 52554 come from the dataset or logging, then document whether they affect training; no source file or test is identified in the issue.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100