|
--- |
|
library_name: peft |
|
tags: |
|
- trl |
|
- sft |
|
- generated_from_trainer |
|
datasets: |
|
- generator |
|
- databricks/databricks-dolly-15k |
|
base_model: NousResearch/Llama-2-7b-chat-hf |
|
model-index: |
|
- name: llama2-7-dolly-answer |
|
results: [] |
|
license: mit |
|
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. --> |
|
|
|
# llama2-7-dolly-answer |
|
|
|
This model is a fine-tuned version of [NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf) on the generator dataset. |
|
Can be used in conjunction with [LukeOLuck/llama2-7-dolly-query](https://huggingface.co/LukeOLuck/llama2-7-dolly-query) |
|
|
|
## Model description |
|
|
|
A Fine-Tuned PEFT Adapter for the llama2 7b chat model |
|
|
|
## Intended uses & limitations |
|
|
|
Generate a safe answer based on context and a request |
|
|
|
## Training and evaluation data |
|
|
|
Used SFTTrainer, [checkout the code](https://colab.research.google.com/drive/1WYlE1fTKb0WmNx0tS1hdgtcJfZ2wdOH6?usp=sharing) |
|
|
|
## Training procedure |
|
|
|
[Checkout the code here](https://colab.research.google.com/drive/1WYlE1fTKb0WmNx0tS1hdgtcJfZ2wdOH6?usp=sharing) |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0002 |
|
- train_batch_size: 32 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: constant |
|
- lr_scheduler_warmup_ratio: 0.03 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
 |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.8.2 |
|
- Transformers 4.37.2 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.17.1 |
|
- Tokenizers 0.15.2 |
