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manojpreveen/gpt-neoxt-20b-v13

sourceHugging Facebigscience-openrail-mupdated 3y agoView on Hugging Face
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Model Card

Instruction Tuned GPT-NeoXT-20B model on Instruction Tuning dataset as listed below (~5.2M 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: 5
  • —Batch Size : 5 instantaneous per device x 1 gradient accumulation steps x 8 gpus = 40
  • —Block Size : 2020
  • —Weight Decay : 0
  • —Learning Rate : 1e-6
  • —Learning Rate Scheduler Type : Cosine
  • —Number of warmup steps : 600
  • —Machine : 8xA100 80GB

Training Data Specifics :

  • —Labels and Input ids are exactly the same.
  • —Block Size is 2020, Multiple instructions are clubbed together in each data.
  • —"###" is the EOS Token used in the data.