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