Original model description:

license: mit datasets: - yahma/alpaca-cleaned language: - en library_name: transformers pipeline_tag: text-generation

phi-2-alpaca-cleaned

This model is an instruction-tuned version of the microsoft/phi-2 model fine-tuned on the 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