| license: bigscience-openrail-m | |
| datasets: | |
| - iamplus/Instruction_Tuning | |
| Instruction Tuned GPT-NeoXT-20B model on Stanford Alpaca-2 Instruction Tuning dataset (outputs from ChatGPT) (52k data) using ***Colossal AI*** | |
| **Base Model:** togethercomputer/GPT-NeoXT-Chat-Base-20B (not fine-tuned on feedback data) | |
| **Training Details :** | |
| * Epochs: 5 | |
| * 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 : 30 | |
| * Machine : 8xA100 80GB | |
| **Dataset Details :** | |
| Dataset : iamplus/Instruction_Tuning | |
| Files : | |
| * stanford_alpaca_it_v2.csv |