|
--- |
|
license: mit |
|
library_name: peft |
|
tags: |
|
- PEFT |
|
- Qlora |
|
- mistral-7b |
|
- fine-tuning |
|
base_model: mistralai/Mistral-7B-v0.1 |
|
model-index: |
|
- name: mistral7b-fine-tuned-qlora |
|
results: [] |
|
datasets: |
|
- timdettmers/openassistant-guanaco |
|
pipeline_tag: text-generation |
|
language: |
|
- en |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Mistral7b-fine-tuned-qlora |
|
|
|
<img src="https://www.kdnuggets.com/wp-content/uploads/selvaraj_mistral_7bv02_finetuning_mistral_new_opensource_llm_hugging_face_3.png" alt="im" width="700" /> |
|
|
|
# Model version and Dataset |
|
|
|
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on [timdettmers/openassistant-guanaco](https://huggingface.co/datasets/timdettmers/openassistant-guanaco) dataset. |
|
|
|
## Usage guidance |
|
|
|
Please refer to [this notebook](https://github.com/shirinyamani/mistral7b-lora-finetuning/blob/main/misral_7B_updated.ipynb) for a complete demo including notes regarding cloud deployment |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0002 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 4 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 2 |
|
- training_steps: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.11.2.dev0 |
|
- Transformers 4.42.0.dev0 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
