| 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. |