求助：Custom Translator中任务/文件训练时长超24小时未完成

Hey there, sorry to hear you're stuck with those training jobs dragging on way longer than they should—26k sentences is a totally manageable size, so let's break down some practical steps to diagnose and fix this:

• Check for file content anomalies
  Sometimes training gets stuck processing unexpected text. Look for 超长句子 (way longer than typical for your language pair), special characters, HTML/XML tags, or mixed-language content in your files. Test with a small subset (like 100-200 sentences) to see if the training completes quickly—if it does, your full file likely has problematic entries that need cleaning.

• Verify regional resource availability
  Platforms can sometimes have resource bottlenecks in specific regions. Try creating a test project in a different region, upload the same small subset of your data, and start a training job. If this test finishes on time, your original region might be under heavy load, and you could consider migrating your project or waiting for resource availability to improve.

• Rule out account-level task conflicts
  If you have other large training jobs running under the same account, they might be hogging resources or causing queue delays. Check all your projects for long-running tasks and cancel any non-critical ones to free up capacity. Sometimes the queue can get stuck, and clearing older jobs helps unblock pending tasks.

• Re-upload your files
  Network glitches during upload can sometimes result in partially corrupted files that appear valid but cause training to hang. Grab a fresh copy of your source files, re-upload them to a new training job, and see if the process proceeds normally. This quick check can eliminate hidden file corruption issues.

• Reach out to official support
  Since there's no built-in status page for deep troubleshooting, your next best bet is to submit a support request through the Custom Translator platform's support channel. Be sure to include details like your project IDs, file names, training job IDs, and timestamps—this helps the support team quickly locate and diagnose the stuck tasks on their end.

Hope one of these steps gets your training back on track. If you notice patterns (like small batches working fine, or regional differences), that'll help narrow down the root cause even faster!

内容的提问来源于stack exchange，提问作者hcabral