phi-1_5-alpaca-cleaned
This model is an instruction-tuned version of the microsoft/phi-1_5 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