transformers safetensors phi text-generation custom_code en dataset:yahma/alpaca-cleaned license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: mit
datasets:
- yahma/alpaca-cleaned
language:
- en
library_name: transformers
pipeline_tag: text-generation
---

# phi-1_5-alpaca-cleaned
This model is an instruction-tuned version of the [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) model fine-tuned on the [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) dataset.

In the training, full parameter fine-tuning of phi-2 was performed, and LoRA was not used.

## Text Format
```
Below is an instruction that describes a task. Write a response that appropriately completes the request.
### Instruction:
Based on the information provided, rewrite the sentence by changing its tense from past to future.

### Input:
She played the piano beautifully for hours and then stopped as it was midnight.	

### Response:
She will play the piano beautifully for hours and then stop as it will be midnight.	
```

## Training
- GPUs: 8 × A6000 48GB
- per_device_train_batch_size: 8
- gradient_accumulation_steps: 8
- per_device_eval_batch_size: 8
- num_train_epochs: 3
- learning_rate: 2e-5
- warmup_ratio: 0.03

## Software
- pytorch: 2.1.2
- transformers: 4.38.0.dev0
- accelerate: 0.26.1
- deepspeed: 0.13.1