README.md

metadata

library_name: peft
license: mit
base_model: microsoft/Phi-4-mini-instruct
tags:
  - llama-factory
  - generated_from_trainer
model-index:
  - name: Phi-4-mini-instruct-drill
    results: []
datasets:
  - agentlans/drill
language:
  - en

Phi-4-mini-instruct-drill

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on the agentlans/drill 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: 5e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 8
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• num_epochs: 1.0

Training results

Framework versions

• PEFT 0.15.0
• Transformers 4.49.0
• Pytorch 2.6.0+cu124
• Datasets 3.4.1
• Tokenizers 0.21.0