metadata

library_name: peft
license: mit
base_model: microsoft/Phi-4-mini-instruct
tags:
  - generated_from_trainer
model-index:
  - name: phi4-lora-xaji0y6d-1742312071
    results: []

phi4-lora-xaji0y6d-1742312071

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct 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: 8e-06
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Framework versions

PEFT 0.14.0
Transformers 4.48.2
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0