|
|
--- |
|
|
license: bigscience-openrail-m |
|
|
datasets: |
|
|
- iamplus/Instruction_Tuning |
|
|
--- |
|
|
Instruction Tuned Bloomz-7B1 Model on Stanford Alpaca-2 Instruction Tuning dataset (outputs from ChatGPT) (52k data) using ***Colossal AI*** |
|
|
|
|
|
**Base Model:** bigscience/bloomz-7b1 |
|
|
|
|
|
**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 |
