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Mms Maya 040min

Punto del experimento de curva WER vs minutos de entrenamiento (réplica de Bartley 2025).

Sourcehuggingface.co/mau-cr/mms-maya-040min/tree/7488763202a28d3300136b96037c0fc3a1b88c7e
KindOtherVersionRevision 7488763Publisher@mau-crCgrade

Model source

Kind
Other
File size
3.59 GB
Version
vRevision 7488763
Updated
Oct 10, 2026
Publisher
@mau-cr
Downloads
9
Source
Hugging Face

Source description

MMS-1b-all fine-tuned on Maya Yucatec (40 min subset)

Punto del experimento de curva WER vs minutos de entrenamiento (réplica de Bartley 2025).

Resultados

MétricaValor
Minutos objetivo40
Minutos reales39.87
WER (test)0.4937

Detalles del entrenamiento

  • Modelo base: facebook/mms-1b-all
  • Target language adapter: yua
  • Test set: 4 hablantes hold-out (24.1 min) — spk 002, 020, 024, 028
  • Validation set: 2 hablantes hold-out (14.7 min) — spk 009, 029
  • max_steps: 2000
  • learning_rate: 1e-3
  • batch_size efectivo: 16 (8 × 2 grad accum)

Sources

1 source
Hugging FacePrimaryVersion 7488763202a28d3300136b96037c0fc3a1b88c7e
huggingface.co/mau-cr/mms-maya-040min/tree/7488763202a28d3300136b96037c0fc3a1b88c7e

Verified Sep 15

Model artifacts

1 artifact

model.safetensors

safetensors · 3.59 GB · SHA-256 70b43711512d…ea71 · Hugging Face

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Source excerpts

3 excerpts
ReadmeJul 11huggingface.co/mau-cr/mms-maya-040min

--- language: yua tags: - automatic-speech-recognition - mms - maya-yucatec - low-resource license: cc-by-nc-4.0 --- # MMS-1b-all fine-tuned on Maya Yucatec (40 min subset) Punto del experimento de curva WER vs minutos de entrenamiento (réplica de Bartley 2025). ## Resultados | Métrica | Valor | |------------------|----------------| | Minutos objetivo | 40 | | Minutos reales | 39.87 | | WER (test) | 0.4937 | ## Detalles del entrenamiento - Modelo base: `facebook/mms-1b-all` - Target language adapter: `yua` - Test set: 4 hablantes hold-out (24.1 min) — spk 002, 020, 024, 028 - Validation set: 2 hablantes hold-out (14.7 min) — spk 009, 029 - max_steps: 2000 - learning_rate: 1e-3 - batch_size efectivo: 16 (8 × 2 grad accum)

NoteSep 15huggingface.co/mau-cr/mms-maya-040min

Source context: 9 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo mau-cr/mms-maya-040min

NoteJul 11huggingface.co/mau-cr/mms-maya-040min

Source context: 5 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo mau-cr/mms-maya-040min