Datasets:
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---
dataset_info:
features:
- name: text
dtype: string
splits:
- name: train
num_bytes: 22394390
num_examples: 67349
- name: validation
num_bytes: 324252
num_examples: 872
download_size: 4390572
dataset_size: 22718642
task_categories:
- text-classification
language:
- en
---
# Dataset Card for "llama2-sst2-finetuning"
## Dataset Description
The Llama2-sst2-fine-tuning dataset is designed for supervised fine-tuning of the LLaMA V2 based on the GLUE SST2 for sentiment analysis classification task.
We provide two subsets: training and validation.
To ensure the effectiveness of fine-tuning, we convert the data into the prompt template for LLaMA V2 supervised fine-tuning, where the data will follow this format:
```
<s>[INST] <<SYS>>
{System prompt}
<</SYS>>
{User prompt} [/INST] {Label} </s>.
```
The feasibility of this dataset has been tested in supervised fine-tuning on the meta-llama/Llama-2-7b-hf model.
Note. For the sake of simplicity, we have retained only one new column of data ('text').
## Other Useful Links
- [Get Llama 2 Prompt Format Right](https://www.reddit.com/r/LocalLLaMA/comments/155po2p/get_llama_2_prompt_format_right/)
- [Fine-Tune Your Own Llama 2 Model in a Colab Notebook](https://towardsdatascience.com/fine-tune-your-own-llama-2-model-in-a-colab-notebook-df9823a04a32)
- [Instruction fine-tuning Llama 2 with PEFT’s QLoRa method](https://medium.com/@ud.chandra/instruction-fine-tuning-llama-2-with-pefts-qlora-method-d6a801ebb19)
- [GLUE SST2 Dataset](https://www.tensorflow.org/datasets/catalog/glue#gluesst2)
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