transformers pytorch gpt_neox text-generation dataset:iamplus/Instruction_Tuning license:bigscience-openrail-m autotrain_compatible endpoints_compatible text-generation-inference region:us
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license: bigscience-openrail-m
datasets:
- iamplus/Instruction_Tuning
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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