metadata
library_name: transformers
license: mit
base_model: microsoft/phi-2
tags:
- generated_from_trainer
model-index:
- name: phi-2-distillation-alpaca-5.0-AlpacaRefuseSmooth-rs1
results: []
phi-2-distillation-alpaca-5.0-AlpacaRefuseSmooth-rs1
This model is a fine-tuned version of microsoft/phi-2 on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000
Training results
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0
- Datasets 3.6.0
- Tokenizers 0.21.0