PyText
master

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
    • models
    • optimizer
      • adabelief
      • fp16_optimizer
      • lamb
      • madgrad
      • optimizers
        • Adagrad.Config
        • Adam.Config
        • AdamW.Config
        • Optimizer.Config
        • SGD.Config
      • privacy_engine
      • radam
      • scheduler
      • sparsifiers
      • swa
    • task
    • torchscript
    • trainers
  • pytext package
PyText
  • Docs »
  • pytext »
  • optimizer »
  • optimizers
  • Edit on GitHub

optimizersΒΆ

  • Adagrad.Config
  • Adam.Config
  • AdamW.Config
  • Optimizer.Config
  • SGD.Config
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