PyText
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Getting Started

  • Installation
  • Train your first model
  • Execute your first model
  • Visualize Model Training with TensorBoard
  • Use PyText models in your app
  • Serve Models in Production
  • Config Files Explained
  • Config Commands

Training More Advanced Models

  • Train Intent-Slot model on ATIS Dataset
  • Hierarchical intent and slot filling
  • Multitask training with disjoint datasets
  • Data Parallel Distributed Training
  • XLM-RoBERTa
  • Semantic parsing with sequence-to-sequence models

Extending PyText

  • Architecture Overview
  • Custom Data Format
  • Custom Tensorizer
  • Using External Dense Features
  • Creating A New Model
  • Hacking PyText

References

  • pytext
    • config
    • data
    • exporters
    • loss
    • metric_reporters
      • calibration_metric_reporter
      • classification_metric_reporter
      • compositional_metric_reporter
      • dense_retrieval_metric_reporter
      • disjoint_multitask_metric_reporter
      • intent_slot_detection_metric_reporter
      • language_model_metric_reporter
        • LanguageModelMetricReporter.Config
        • MaskedLMMetricReporter.Config
      • metric_reporter
      • pairwise_ranking_metric_reporter
      • regression_metric_reporter
      • seq2seq_compositional
      • seq2seq_metric_reporter
      • squad_metric_reporter
      • word_tagging_metric_reporter
    • models
    • optimizer
    • task
    • torchscript
    • trainers
  • pytext package
PyText
  • Docs »
  • pytext »
  • metric_reporters »
  • language_model_metric_reporter
  • Edit on GitHub

language_model_metric_reporterΒΆ

  • LanguageModelMetricReporter.Config
  • MaskedLMMetricReporter.Config
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