# 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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task_categories:text-classification language:en region:us
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TAGS
#task_categories-text-classification #language-English #region-us 

# 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:  


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
- Fine-Tune Your Own Llama 2 Model in a Colab Notebook
- Instruction fine-tuning Llama 2 with PEFT’s QLoRa method
- GLUE SST2 Dataset


# 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:  


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
- Fine-Tune Your Own Llama 2 Model in a Colab Notebook
- Instruction fine-tuning Llama 2 with PEFT’s QLoRa method
- GLUE SST2 Dataset
TAGS
#task_categories-text-classification #language-English #region-us 
 # 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:  


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
- Fine-Tune Your Own Llama 2 Model in a Colab Notebook
- Instruction fine-tuning Llama 2 with PEFT’s QLoRa method
- GLUE SST2 Dataset
passage: TAGS
#task_categories-text-classification #language-English #region-us 
# 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:  


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
- Fine-Tune Your Own Llama 2 Model in a Colab Notebook
- Instruction fine-tuning Llama 2 with PEFT’s QLoRa method
- GLUE SST2 Dataset