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