---
license: mit
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: microsoft/phi-2
model-index:
- name: phi-2-finetuned-1k_stories_100_genre
  results: []
---

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# phi-2-finetuned-1k_stories_100_genre

This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on 1k_stories_100_genre dataset using TRL library's SFTTrainer class.

## Model description

Use prompts in the format : f"Generate a '{genre_of_the_story} ' story titled '{title of the story}'."

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure
Supervised Fine-Tuning using QLoRA. Used bitsandbytes for 4-bit quantization and LoRA adapters with r=4 for only q, v projection matrices.

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results



### Framework versions

- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2