neubig

# NOTE:
# You can find an updated, more robust and feature-rich implementation
# in Zeno Build
# - Zeno Build: https://github.com/zeno-ml/zeno-build/
# - Implementation: https://github.com/zeno-ml/zeno-build/blob/main/zeno_build/models/providers/openai_utils.py

import openai
import asyncio
from typing import Any

commonsensepretraining

Model Name:

RoBERTa + CSPT (single model)

Model Description:

We first train a generation model to generate synthetic data from ConceptNet. We then build the commonsense pre-trained model by finetuning RoBERTa-large model on the synthetic data and Open Mind Common Sense (OMCS) corpus. The final model is finetuned from the pretrained commonsense model on CSQA.

Experiment Details:

Commonsense Pre-training:

• epochs: 5
• maximum sequence length: 35
• learning rate: 3e-5

odashi

#!/usr/bin/env python3

import sys
from argparse import ArgumentParser
from collections import defaultdict

def parse_args():
  p = ArgumentParser('Converts word to integer using byte-pair encoding.')
  p.add_argument(
      '--input',

arya-oss

Ubuntu 16.04 Developer Tools Installation

First things first !

sudo apt update
sudo apt upgrade

Standard Developer Tools

sudo apt-get install build-essential git