|
--- |
|
base_model: unsloth/Mistral-Nemo-Instruct-2407 |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- text-generation-inference |
|
- transformers |
|
- unsloth |
|
- mistral |
|
- trl |
|
--- |
|
|
|
# Uploaded model |
|
|
|
- **Developed by:** UsernameJustAnother |
|
- **License:** apache-2.0 |
|
- **Finetuned from model :** unsloth/Mistral-Nemo-Instruct-2407 |
|
|
|
Experimental RP Finetune with secret sauce dataset, rsLoRA, r = 64, on an Colab A100 instance. 30GB vRAM used, 2 epochs ~ 3hrs of training. |
|
|
|
``` |
|
r = 64, |
|
target_modules = ["q_proj", "k_proj", "v_proj", "o_proj", |
|
"gate_proj", "up_proj", "down_proj",], |
|
lora_alpha = 64, |
|
lora_dropout = 0, # Supports any, but = 0 is optimized |
|
bias = "none", # Supports any, but = "none" is optimized |
|
use_gradient_checkpointing = "unsloth", # True or "unsloth" for very long context |
|
random_state = 3407, |
|
use_rslora = True, # lora_alpha --> 8 |
|
loftq_config = None, |
|
|
|
per_device_train_batch_size = 2, |
|
gradient_accumulation_steps = 4, |
|
warmup_steps = 5, |
|
num_train_epochs = 2, |
|
learning_rate = 2e-5, # down from 2e-4, could go down to (5e-5 then 1e-5) |
|
fp16 = not is_bfloat16_supported(), |
|
bf16 = is_bfloat16_supported(), |
|
logging_steps = 1, |
|
optim = "adamw_8bit", |
|
weight_decay = 0.01, |
|
lr_scheduler_type = "linear", |
|
seed = 3407, |
|
``` |
|
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. |
|
|
|
[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth) |
|
|
