phi-2-finetuned-1k_stories_100_genre
This model is a fine-tuned version of 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
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Base model
microsoft/phi-2