BoomKamae BERT Error Classifier V1

Modelo BERT japon茅s fine-tuneado para detectar errores gramaticales en oraciones japonesas.

Arquitectura

BertForSequenceClassification

N煤mero de clases

8

Clases

  1. CORRECT
  2. PARTICLE_ERROR
  3. WORD_ORDER
  4. VERB_FORM
  5. MISSING_ELEMENT
  6. ADJECTIVE_ERROR
  7. EXTRA_ELEMENT
  8. SEMANTIC_ERROR

Resultados V1 sobre TEST

  • Accuracy: 76.67%
  • Precision Macro: 75.51%
  • Recall Macro: 57.45%
  • F1 Macro: 58.83%
  • Test Loss: 1.5281

Configuraci贸n

  • Base: tohoku-nlp/bert-base-japanese-v3
  • Epochs: 5
  • Learning rate: 2e-5
  • Batch size: 8
  • Weight decay: 0.01
  • Max length: 128
  • Tipo: clasificaci贸n multiclase de una sola etiqueta
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