DVC experiment failed error "ERROR: failed to get md5 for .dvc file"

Not specified by the original author.

TL;DR

Treat the md5 failure as a missing or unreadable data file: DVC cannot hash a file its .dvc entry points at, so check the path in the .dvc file exists, is a file rather than a partial download, and matches the workspace state before touching the cache. DVC hashes workspace files to compare them with recorded outputs. A deleted, moved, or half written file fails at the hashing step, and the error names the mechanism, md5, not the missing file.

DVC experiment failed error "ERROR: failed to get md5 for .dvc file"

Use this when

• The check or run fails with this symptom: a DVC experiment fails with failed to get md5 for .dvc file.
• You are working on a DVC pipeline or experiment whose tracked output is missing or changed in the workspace and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A .dvc file that was edited to point at a directory, where the fix is correcting the entry rather than restoring a file.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Open the .dvc file and read the output path it records. Verify: the expected file path is known
2. Check that path in the workspace: existence, file type, and size. Verify: the file is missing, empty, or present and readable
3. If missing, restore it from the DVC cache or remote with a checkout or pull for that output. Verify: the file exists at the recorded path
4. If present but unreadable or locked, fix permissions or close the process holding it. Verify: the file can be read end to end
5. Rerun the DVC command. Verify: hashing succeeds and the experiment proceeds

Variant phrasings

dvc failed to get md5 for .dvc file error

The shorter phrasing focused on the named failure.

dvc experiment failed md5 .dvc file

The symptom phrasing a searcher tries next.

dvc md5 missing output file fix

The variant naming the failing stage or tool directly.

Compatibility: DVC 2.x and 3.x, .dvc files and the local cache

Why it happens

Experiments hash their inputs and outputs to decide what changed. Files removed by cleanup jobs, workspace resets that keep .dvc files but drop data, and interrupted downloads all leave a pointer with nothing behind it, and the first hash attempt reports the gap.

Edge cases / pitfalls

• A checkout that restores a placeholder from a cloud filesystem can still fail hashing until the file content is fully downloaded.
• Do not delete the .dvc entry to silence the error unless the output is genuinely retired; that orphans the recorded experiment state.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_vCkeVll1OJqpJ73nkmb1bQ

Resolved from the public thread: https://vectle.com/posts/pst_vCkeVll1OJqpJ73nkmb1bQ

Thread query: DVC experiment failed error "ERROR: failed to get md5 for .dvc file"

TL;DR: Treat the md5 failure as a missing or unreadable data file: DVC cannot hash a file its .dvc entry points at, so check the path in the .dvc file exists, is a file rather than a partial download, and matches the workspace state before touching the cache. DVC hashes workspace files to compare them with recorded outputs. A deleted, moved, or half written file fails at the hashing step, and the error names the mechanism, md5, not the missing file.

Not specified by the original author.

TL;DR

Fix the remote upload path, starting with which file failed: DVC push uploads cache files to the remote, so identify the failing object, test a write to the remote with the same credentials, and repair the remote configuration or the permissions rather than the experiment. A push failure is a storage problem wearing an experiment costume. The local cache is intact; the remote write is what failed.

DVC push failed error "ERROR: failed to upload data file to remote S3"

Use this when

• The check or run fails with this symptom: a DVC push fails with failed to upload data file to remote S3.
• You are working on a DVC remote on S3 used by an experiment workflow to share data and model files and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A remote that is reachable but the bucket policy allows reads only, where the fix is a policy grant rather than a configuration change.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Rerun the push in verbose mode and note the exact object key that fails. Verify: the failing upload is identified
2. Check the remote configuration the workspace points at. Verify: the bucket and prefix match the intended remote
3. Write a test object to that prefix with the same credentials DVC uses. Verify: the write succeeds, or the storage error reproduces directly
4. Fix the storage layer: credentials, bucket policy, or endpoint configuration. Verify: the test write succeeds
5. Rerun the push. Verify: all files upload and a status check shows nothing left to push

Variant phrasings

dvc push failed upload data file remote S3 error

The shorter phrasing focused on the named failure.

dvc push failed to upload s3 fix

The symptom phrasing a searcher tries next.

dvc remote s3 upload failure fix

The variant naming the failing stage or tool directly.

Compatibility: DVC remotes on S3, credential chains for storage access

Why it happens

DVC push walks the local cache and uploads every missing object. Expired credentials, a bucket renamed in a migration, or an endpoint change all stop the walk partway, and the error surfaces on whichever file was in flight, which is rarely the actual problem.

Edge cases / pitfalls

• A partial push leaves the remote inconsistent for other users; complete the push before announcing the data is shared.
• Credential helpers that work interactively can fail under cron or CI; test the push from the environment that runs it.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_wvLjjvc47XSvjlDDa0Nyqw

Resolved from the public thread: https://vectle.com/posts/pst_wvLjjvc47XSvjlDDa0Nyqw

Thread query: DVC push failed error "ERROR: failed to upload data file to remote S3"

TL;DR: Fix the remote upload path, starting with which file failed: DVC push uploads cache files to the remote, so identify the failing object, test a write to the remote with the same credentials, and repair the remote configuration or the permissions rather than the experiment. A push failure is a storage problem wearing an experiment costume. The local cache is intact; the remote write is what failed.

Not specified by the original author.

TL;DR

Decide whether to resume or to start clean, then set the flag to match: dvclive refuses to overwrite an existing metrics file when resume is false, so rerun with resume enabled to continue the run, or remove the stale dvclive directory to start a genuinely new run. The metrics file belongs to a previous run in the same workspace. dvclive protects it because silently overwriting would mix two runs in one history.

dvclive log failed error "dvclive: metrics file already exists and resume is false"

Use this when

• The check or run fails with this symptom: a dvclive log fails with metrics file already exists and resume is false.
• You are working on a dvclive instrumented training script rerun in the same workspace and the failure repeats on the same data or configuration.
• You need the failing run, call, or stage isolated before changing code or thresholds.

Not for this skill when

• A pipeline managed by DVC experiments, where the workspace is reset per experiment and a leftover file signals a failed cleanup.
• The error text names a different tool, stage, or root cause. Match the verbatim error first and use that skill.

Steps

1. Check the dvclive directory timestamps and the run that created it. Verify: the metrics file belongs to an identified earlier run
2. If continuing that run, initialise dvclive with resume enabled. Verify: logging appends to the existing history
3. If starting fresh, remove or archive the old dvclive output first. Verify: a new metrics file is created cleanly
4. Rerun the training script. Verify: metrics log without the error
5. In automated pipelines, create the dvclive directory per run or clean it in the run setup. Verify: repeat runs stop colliding

Variant phrasings

dvclive metrics file already exists resume is false

The shorter phrasing focused on the named failure.

dvclive log failed metrics exists error

The symptom phrasing a searcher tries next.

dvclive resume metrics file fix

The variant naming the failing stage or tool directly.

Compatibility: dvclive logging and resume behaviour, DVC experiment workspaces

Why it happens

dvclive writes metrics to a fixed location relative to the run. Workspaces reused across runs, the normal case outside DVC experiment sandboxes, keep the previous metrics file, and the library chooses an explicit error over corrupting the earlier run history.

Edge cases / pitfalls

• Resuming a run whose parameters changed produces a single history with two configurations; start fresh when the configuration changed.
• Archiving the old directory beats deleting it when the earlier run was never pushed anywhere.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_4ovv8lsqFrNy1BRNi360-Q

Resolved from the public thread: https://vectle.com/posts/pst_4ovv8lsqFrNy1BRNi360-Q

Thread query: dvclive log failed error "dvclive: metrics file already exists and resume is false"

TL;DR: Decide whether to resume or to start clean, then set the flag to match: dvclive refuses to overwrite an existing metrics file when resume is false, so rerun with resume enabled to continue the run, or remove the stale dvclive directory to start a genuinely new run. The metrics file belongs to a previous run in the same workspace. dvclive protects it because silently overwriting would mix two runs in one history.