Token Classification
Transformers
Safetensors
English
bert
transcript-cleanup
experimental
keep-delete
Instructions to use arach/transcript-cleanup-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arach/transcript-cleanup-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="arach/transcript-cleanup-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("arach/transcript-cleanup-tiny") model = AutoModelForTokenClassification.from_pretrained("arach/transcript-cleanup-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tagger_manifest.json from arach/transcript-cleanup-tiny: direct link, hf CLI and curl.
- Browser
- Download file 11 kB
-
https://huggingface.co/arach/transcript-cleanup-tiny/resolve/main/tagger_manifest.json
- Command line
-
hf download hf://arach/transcript-cleanup-tiny/tagger_manifest.json
-
curl -L -o tagger_manifest.json https://huggingface.co/arach/transcript-cleanup-tiny/resolve/main/tagger_manifest.json
11 kB
| { | |
| "status": "complete", | |
| "timestamp": "2026-11-07T02:14:14.279533+00:00", | |
| "model": "google/bert_uncased_L-2_H-128_A-2", | |
| "revision": "30b0a37ccaaa32f332884b96992754e246e48c5f", | |
| "config": { | |
| "seed": 23, | |
| "epochs": 12, | |
| "batch_size": 8, | |
| "learning_rate": 0.0003, | |
| "weight_decay": 0.01, | |
| "delete_loss_weight": 4.0, | |
| "max_tokens": 512, | |
| "threads": 4, | |
| "device": "cpu", | |
| "thresholds": [ | |
| 0.5, | |
| 0.7, | |
| 0.8, | |
| 0.9, | |
| 0.95, | |
| 0.99, | |
| 1.0 | |
| ] | |
| }, | |
| "provenance": "Synthetic assistant-authored experiment; no real captures or user-approved targets.", | |
| "parameter_count": 4369666, | |
| "pairs_sha256": "582a5137099bb81351a83eea9c15caf6cd05653fa982b26049166d50ba0f898c", | |
| "heldout_sha256": "6a4b7c565e6322c6a5008e377c0ccdc87445cd6d70f49e8a1dfee7d2973cd593", | |
| "script_sha256": "2ff06711560dae1d79673a6b7e5603d2a758ac636d9c980790af7916ad0f32ed", | |
| "renderer_sha256": "7977564c691039e69c492324cfdb1f1f5cb0f4ac07d5962e7860094f06ab3104", | |
| "packages": { | |
| "torch": "2.15.0", | |
| "transformers": "5.22.2", | |
| "huggingface-hub": "2.4.0", | |
| "safetensors": "0.8.0" | |
| }, | |
| "train_ids": [ | |
| "seedling-trays-01", | |
| "seedling-trays-02", | |
| "ferry-ramp-01", | |
| "ferry-ramp-02", | |
| "spare-reed-01", | |
| "spare-reed-02", | |
| "wool-pattern-01", | |
| "wool-pattern-02", | |
| "courtyard-bench-01", | |
| "courtyard-bench-02", | |
| "storm-shutters-01", | |
| "storm-shutters-02", | |
| "paper-lantern-01", | |
| "paper-lantern-02", | |
| "marble-stairs-01", | |
| "marble-stairs-02", | |
| "lemon-peel-01", | |
| "lemon-peel-02", | |
| "trail-junction-01", | |
| "trail-junction-02", | |
| "copper-pan-01", | |
| "copper-pan-02", | |
| "plum-jam-01", | |
| "plum-jam-02", | |
| "woven-rug-01", | |
| "woven-rug-02", | |
| "ginger-tea-01", | |
| "ginger-tea-02", | |
| "valve-handle-01", | |
| "valve-handle-02", | |
| "small-funnel-01", | |
| "small-funnel-02", | |
| "orange-crate-01", | |
| "orange-crate-02", | |
| "linen-drawer-01", | |
| "linen-drawer-02", | |
| "box-chalk-01", | |
| "box-chalk-02", | |
| "silk-thread-01", | |
| "silk-thread-02", | |
| "winding-path-01", | |
| "winding-path-02", | |
| "island-postcard-01", | |
| "island-postcard-02", | |
| "oak-stool-01", | |
| "oak-stool-02", | |
| "blue-scarf-01", | |
| "blue-scarf-02", | |
| "skating-gloves-01", | |
| "skating-gloves-02", | |
| "weekend-route-01", | |
| "weekend-route-02", | |
| "garden-ladder-01", | |
| "garden-ladder-02", | |
| "canvas-apron-01", | |
| "canvas-apron-02", | |
| "concert-seat-01", | |
| "concert-seat-02", | |
| "faded-map-01", | |
| "faded-map-02", | |
| "soup-ladle-01", | |
| "soup-ladle-02", | |
| "quoted-brochure-01", | |
| "quoted-brochure-02", | |
| "quoted-rehearsal-01", | |
| "quoted-rehearsal-02", | |
| "quoted-audio-note-01", | |
| "quoted-audio-note-02", | |
| "very-steep-01", | |
| "very-steep-02", | |
| "long-winter-01", | |
| "long-winter-02", | |
| "no-extra-salt-01", | |
| "no-extra-salt-02", | |
| "had-breakfast-01", | |
| "had-breakfast-02", | |
| "literal-python-01", | |
| "literal-python-02", | |
| "literal-path-01", | |
| "literal-path-02", | |
| "literal-camel-01", | |
| "literal-camel-02", | |
| "literal-iphone-01", | |
| "literal-iphone-02", | |
| "correction-reservation-01", | |
| "correction-reservation-02", | |
| "unfinished-paint-01", | |
| "unfinished-paint-02", | |
| "unfinished-melody-01", | |
| "unfinished-melody-02", | |
| "instruction-marigold-01", | |
| "instruction-marigold-02", | |
| "numeric-repeat-01", | |
| "numeric-repeat-02", | |
| "hedge-feeling-01", | |
| "hedge-feeling-02", | |
| "discourse-literal-01", | |
| "discourse-literal-02", | |
| "grammar-that-01", | |
| "grammar-that-02", | |
| "grammar-is-01", | |
| "grammar-is-02", | |
| "emphatic-more-01", | |
| "emphatic-more-02", | |
| "metalinguistic-duplicates-01", | |
| "metalinguistic-duplicates-02", | |
| "two-hesitations-01", | |
| "two-hesitations-02", | |
| "filler-no-commas-01", | |
| "filler-no-commas-02", | |
| "filler-question-01", | |
| "filler-question-02", | |
| "filler-fragment-01", | |
| "filler-fragment-02", | |
| "filler-longer-01", | |
| "filler-longer-02", | |
| "only-hesitation-01", | |
| "only-hesitation-02", | |
| "repeat-tentative-01", | |
| "repeat-tentative-02", | |
| "repeat-negative-01", | |
| "repeat-negative-02", | |
| "repeat-literal-context-01", | |
| "repeat-literal-context-02", | |
| "repeat-multiple-01", | |
| "repeat-multiple-02", | |
| "repeat-with-filler-01", | |
| "repeat-with-filler-02" | |
| ], | |
| "valid_ids": [ | |
| "ceramic-shelf-01", | |
| "ceramic-shelf-02", | |
| "bicycle-chain-01", | |
| "bicycle-chain-02", | |
| "dried-rosemary-01", | |
| "dried-rosemary-02", | |
| "library-atlas-01", | |
| "library-atlas-02", | |
| "embroidered-bag-01", | |
| "embroidered-bag-02", | |
| "daylight-window-01", | |
| "daylight-window-02", | |
| "ticket-desk-01", | |
| "ticket-desk-02", | |
| "roof-rain-01", | |
| "roof-rain-02", | |
| "sketch-frame-01", | |
| "sketch-frame-02", | |
| "quoted-puppet-01", | |
| "quoted-puppet-02", | |
| "correction-colour-01", | |
| "correction-colour-02", | |
| "correction-approval-01", | |
| "correction-approval-02", | |
| "correction-direction-01", | |
| "correction-direction-02", | |
| "instruction-dialogue-01", | |
| "instruction-dialogue-02", | |
| "numeric-contrast-01", | |
| "numeric-contrast-02", | |
| "repeat-soft-request-01", | |
| "repeat-soft-request-02" | |
| ], | |
| "train_families": [ | |
| "blue-scarf", | |
| "box-chalk", | |
| "canvas-apron", | |
| "concert-seat", | |
| "copper-pan", | |
| "correction-reservation", | |
| "courtyard-bench", | |
| "discourse-literal", | |
| "emphatic-more", | |
| "faded-map", | |
| "ferry-ramp", | |
| "filler-fragment", | |
| "filler-longer", | |
| "filler-no-commas", | |
| "filler-question", | |
| "garden-ladder", | |
| "ginger-tea", | |
| "grammar-is", | |
| "grammar-that", | |
| "had-breakfast", | |
| "hedge-feeling", | |
| "instruction-marigold", | |
| "island-postcard", | |
| "lemon-peel", | |
| "linen-drawer", | |
| "literal-camel", | |
| "literal-iphone", | |
| "literal-path", | |
| "literal-python", | |
| "long-winter", | |
| "marble-stairs", | |
| "metalinguistic-duplicates", | |
| "no-extra-salt", | |
| "numeric-repeat", | |
| "oak-stool", | |
| "only-hesitation", | |
| "orange-crate", | |
| "paper-lantern", | |
| "plum-jam", | |
| "quoted-audio-note", | |
| "quoted-brochure", | |
| "quoted-rehearsal", | |
| "repeat-literal-context", | |
| "repeat-multiple", | |
| "repeat-negative", | |
| "repeat-tentative", | |
| "repeat-with-filler", | |
| "seedling-trays", | |
| "silk-thread", | |
| "skating-gloves", | |
| "small-funnel", | |
| "soup-ladle", | |
| "spare-reed", | |
| "storm-shutters", | |
| "trail-junction", | |
| "two-hesitations", | |
| "unfinished-melody", | |
| "unfinished-paint", | |
| "valve-handle", | |
| "very-steep", | |
| "weekend-route", | |
| "winding-path", | |
| "wool-pattern", | |
| "woven-rug" | |
| ], | |
| "valid_families": [ | |
| "bicycle-chain", | |
| "ceramic-shelf", | |
| "correction-approval", | |
| "correction-colour", | |
| "correction-direction", | |
| "daylight-window", | |
| "dried-rosemary", | |
| "embroidered-bag", | |
| "instruction-dialogue", | |
| "library-atlas", | |
| "numeric-contrast", | |
| "quoted-puppet", | |
| "repeat-soft-request", | |
| "roof-rain", | |
| "sketch-frame", | |
| "ticket-desk" | |
| ], | |
| "selection_policy": "Final fixed-epoch model. Threshold chosen on validation only: minimize cases losing required words, then changed no-ops, then maximize strict accepted references; prefer higher threshold on ties.", | |
| "gold_renderer_mismatches": [], | |
| "epochs": [ | |
| { | |
| "epoch": 1, | |
| "mean_batch_loss": 0.46413037180900574 | |
| }, | |
| { | |
| "epoch": 2, | |
| "mean_batch_loss": 0.3076215647161007 | |
| }, | |
| { | |
| "epoch": 3, | |
| "mean_batch_loss": 0.21633667964488268 | |
| }, | |
| { | |
| "epoch": 4, | |
| "mean_batch_loss": 0.13570373295806348 | |
| }, | |
| { | |
| "epoch": 5, | |
| "mean_batch_loss": 0.10943305736873299 | |
| }, | |
| { | |
| "epoch": 6, | |
| "mean_batch_loss": 0.08478387643117458 | |
| }, | |
| { | |
| "epoch": 7, | |
| "mean_batch_loss": 0.06221661943709478 | |
| }, | |
| { | |
| "epoch": 8, | |
| "mean_batch_loss": 0.03604193188948557 | |
| }, | |
| { | |
| "epoch": 9, | |
| "mean_batch_loss": 0.06867107070866041 | |
| }, | |
| { | |
| "epoch": 10, | |
| "mean_batch_loss": 0.05189189137308858 | |
| }, | |
| { | |
| "epoch": 11, | |
| "mean_batch_loss": 0.04755593434674665 | |
| }, | |
| { | |
| "epoch": 12, | |
| "mean_batch_loss": 0.045788399802404456 | |
| } | |
| ], | |
| "threshold": 0.99, | |
| "validation_thresholds": [ | |
| { | |
| "threshold": 0.5, | |
| "unique_cases": 32, | |
| "accepted_unique": 27, | |
| "cases_missing_required_words": 0, | |
| "cases_with_new_words": 0, | |
| "no_op_cases": 17, | |
| "changed_no_op_cases": 0, | |
| "scope": "Lexical subsequence diagnostics and exact no-op preservation; not semantic safety. Repeats are timing observations, not independent quality cases." | |
| }, | |
| { | |
| "threshold": 0.7, | |
| "unique_cases": 32, | |
| "accepted_unique": 27, | |
| "cases_missing_required_words": 0, | |
| "cases_with_new_words": 0, | |
| "no_op_cases": 17, | |
| "changed_no_op_cases": 0, | |
| "scope": "Lexical subsequence diagnostics and exact no-op preservation; not semantic safety. Repeats are timing observations, not independent quality cases." | |
| }, | |
| { | |
| "threshold": 0.8, | |
| "unique_cases": 32, | |
| "accepted_unique": 27, | |
| "cases_missing_required_words": 0, | |
| "cases_with_new_words": 0, | |
| "no_op_cases": 17, | |
| "changed_no_op_cases": 0, | |
| "scope": "Lexical subsequence diagnostics and exact no-op preservation; not semantic safety. Repeats are timing observations, not independent quality cases." | |
| }, | |
| { | |
| "threshold": 0.9, | |
| "unique_cases": 32, | |
| "accepted_unique": 27, | |
| "cases_missing_required_words": 0, | |
| "cases_with_new_words": 0, | |
| "no_op_cases": 17, | |
| "changed_no_op_cases": 0, | |
| "scope": "Lexical subsequence diagnostics and exact no-op preservation; not semantic safety. Repeats are timing observations, not independent quality cases." | |
| }, | |
| { | |
| "threshold": 0.95, | |
| "unique_cases": 32, | |
| "accepted_unique": 27, | |
| "cases_missing_required_words": 0, | |
| "cases_with_new_words": 0, | |
| "no_op_cases": 17, | |
| "changed_no_op_cases": 0, | |
| "scope": "Lexical subsequence diagnostics and exact no-op preservation; not semantic safety. Repeats are timing observations, not independent quality cases." | |
| }, | |
| { | |
| "threshold": 0.99, | |
| "unique_cases": 32, | |
| "accepted_unique": 27, | |
| "cases_missing_required_words": 0, | |
| "cases_with_new_words": 0, | |
| "no_op_cases": 17, | |
| "changed_no_op_cases": 0, | |
| "scope": "Lexical subsequence diagnostics and exact no-op preservation; not semantic safety. Repeats are timing observations, not independent quality cases." | |
| }, | |
| { | |
| "threshold": 1.0, | |
| "unique_cases": 32, | |
| "accepted_unique": 17, | |
| "cases_missing_required_words": 0, | |
| "cases_with_new_words": 0, | |
| "no_op_cases": 17, | |
| "changed_no_op_cases": 0, | |
| "scope": "Lexical subsequence diagnostics and exact no-op preservation; not semantic safety. Repeats are timing observations, not independent quality cases." | |
| } | |
| ], | |
| "model_sha256": "1d7ec6c86525c1d1072a1889b23493df20fc9f59d6c9e0f412e3b5a3fa086208", | |
| "training_seconds": 4.683 | |
| } | |