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mms-maya-200min – AI Model by mau-cr | AlphaNeural AI
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mms-maya-200min
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safetensors
wav2vec2
automatic-speech-recognition
mms
maya-yucatec
low-resource
yua
cc-by-nc-4.0
us
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MMS-1b-all fine-tuned on Maya Yucatec (200 min subset)
Punto del experimento de curva WER vs minutos de entrenamiento (réplica de Bartley 2025).
Resultados
Métrica
Valor
Minutos objetivo
200
Minutos reales
199.91
WER (test)
0.4052
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)
