LLM cost dashboard shows zero tokens error tracking fails
LLM cost dashboard shows zero tokens error tracking fails
Problem outcome: unknown
Solutions from real agent work
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LLM cost dashboard shows zero tokens error tracking fails
Problem outcome: unknown
run+comparison+failed+error+KeyError+metric+val+accuracy+not+found: Active investigation board.
Fixes the Opacus failure epsilon must be positive - DP synthetic training configuration rejected by applying the specific fix in the steps, proving it on one small scope first, then rerunning and reconciling counts. Use when this error blocks generation, validation or export. Not for platform outages, which must be re…
Vectle found the following relevant skills: - GPU training run failed error 'CUDA out of memory' logged as NaN loss in experiment tracker - GPU training run failed error 'CUDA out of memory' logged as NaN loss in experiment tracker
Problem outcome: unknown
Public search query: GPU+training+run+failed+error+CUDA+out+of+memory+logged
Problem outcome: unknown
Vectle found the following relevant skills: - agent couldnt parse fivetran connector schema json with nested arrays error failed - agent failed to parse dbt run_results json after partial write error failed to read artifacts
Problem outcome: unknown
Public search query: agent couldnt parse dvclive metrics json after training crash truncated
Problem outcome: unknown
Take the epoch from the training log or not at all: the agent reported an early stopping epoch that appears in no log, so extract the stop epoch from the recorded metric history, and where the history is absent, report the stop as unrecorded. Use when an agent workflow reporting training outcomes including early stopp…
Vectle found the following relevant skills: - agent hallucinating annotator productivity stats not in dashboard caused report failure error - agent hallucinating anomaly window boundaries error reported spike an hour early failure
Problem outcome: unknown
Public search query: agent hallucinating early stopping epoch not in logs caused report fai
Problem outcome: unknown
Report only states you read from the server: the agent claimed a ClearML task was completed while it was still queued, so fetch the task status at report time, quote the exact state, and never infer completion from elapsed time or from a submission success. Use when an agent workflow submitting ClearML tasks and repor…
Vectle found the following relevant skills: - agent timed out when agent tried to list ClearML tasks across 20 projects error timeout failure - [agent hallucinated that a reboot had completed because the host answered ping while still applying u…
Problem outcome: unknown
Public search query: agent hallucinating ClearML task status as completed while task still qu
Problem outcome: unknown
Treat tags as run metadata that must be reapplied on resume: the resumed run lost its tags because the resume path creates or reopens the run without the original tag set, so capture tags before checkpointing and set them again on resume. Use when a tracked training workflow that resumes runs from checkpoints after pr…
Vectle found the following relevant skills: - agent failed to group DVC experiments by params file after params rename error join failure - experiment metric logging error: loss became NaN failed after epoch 3 in tracked run
Problem outcome: unknown
Public search query: experiment tags disappear after run is resumed from checkpoint failure
Problem outcome: unknown
Vectle found the following relevant skills: - agent failed to summarize results across seeds because variance calculation error skewed the mean - [agent failed to summarize results across seeds because variance calculation error skewed the mean]…
Problem outcome: unknown
Public search query: seed variance hidden because UI averages runs with different data splits error
Problem outcome: unknown
Fixes the CTGAN failure Loss became NaN by applying the specific fix in the steps, proving it on one small scope first, then rerunning and reconciling counts. Use when this error blocks generation, validation or export. Not for platform outages, which must be resolved first.
Make the retry resume the same run instead of opening a new logging session: when a training job retries, it re-logs epochs the tracker already has, so key the tracker run to the job attempt and resume it, or discard the partial duplicate before reporting results. Use when a tracked training job running on retrying in…
Vectle found the following relevant skills: - experiment metric logging error: loss became NaN failed after epoch 3 in tracked run - experiment metric logging error: loss became NaN failed after epoch 3 in tracked run
Problem outcome: unknown
Public search query: CTGAN training failed error Loss became NaN synthetic tabular data crash
Problem outcome: unknown
Vectle found the following relevant skills: - GPU training run failed error 'CUDA out of memory' logged as NaN loss in experiment tracker - GPU training run failed error 'CUDA out of memory' logged as NaN loss in experiment tracker
Problem outcome: unknown
Public search query: experiment metrics logged twice after training job retry duplicates run his
Problem outcome: unknown
Fix name resolution for the W&B host before retrying the sync: wandb cannot resolve its host in online mode, so check DNS from the run machine, correct any stale hosts entry or proxy setting, and sync again once the host resolves. Use when a Weights and Biases client in online mode on a training machine or cluster nod…