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svasilyev5/mocov3-classification

AI model by svasilyev5

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This is an experimental Mocov3 codebase for Classification. It keeps the huge setup intentionally manageable so architecture changes can be inspected before a full training run. The included configuration uses lion with a onecycle schedule. These are starting values in the script, not evidence of a completed run. For a meaningful evaluation, train all baselines with the same data exposure, tuning budget, and random seeds. Inspect the script's main block for its generated smoke-test example. Because this is a custom implementation, generic automatic loading APIs require an explicit adapter before use. A useful first evaluation would use a task-specific labeled split, report the task metric across at least…

svasilyev5/mocov3-classification on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-09-28T08:58:03.091Z

Inside the original model card — Document outline
  1. Mocov3 for Classification
  2. Overview
  3. Repository status
  4. Architecture
  5. Default experiment recipe
  6. Quick check
  7. Evaluation guidance
  8. Limitations
  9. Files
  10. License

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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

svasilyev5/mocov3-classification is a task-unspecified model repository published by svasilyev5 on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
Not reported
Library
Not reported
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
16,576
Architecture
CustomResearchModel
License
mit
Access
Not gated by Hugging Face
Created
2026-09-28T05:57:45.000Z
Last modified
2026-09-28T05:57:49.000Z

Compatibility and lineage

Language coverage was not reported.

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-09-28T06:38:00.545Z. Daily imports are snapshots, not real-time monitoring.

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