gpt-neoxt-20b-v4 / README.md
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metadata
license: bigscience-openrail-m
datasets:
  - iamplus/Instruction_Tuning

Instruction Tuned GPT-NeoXT-20B model on Instruction Tuning dataset as listed below (~560k data) using Colossal AI

Base Model: togethercomputer/GPT-NeoXT-Chat-Base-20B (GPT-NeoXT-Chat-Base-20B-v0.16 - fine-tuned on feedback data)

Training Details :

  • Epochs: 2
  • Batch Size : 16 instantaneous per device x 1 gradient accumulation steps x 8 gpus = 128
  • Max Length : 1024
  • Weight Decay : 0
  • Learning Rate : 2e-5
  • Learning Rate Scheduler Type : Cosine
  • Number of warmup steps : 240
  • Machine : 8xA100 80GB

Dataset Details :

Dataset : iamplus/Instruction_Tuning

Files :

  • stanford_alpaca_it_v2.csv
  • ColossalChat.csv
  • unified_chip2.csv
  • iamai_summarization_v1.csv
  • iamai_v1.csv