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kahilwa-fit

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metadata
library_name: peft
license: mit
base_model: microsoft/Phi-4-mini-instruct
tags:
  - generated_from_trainer
model-index:
  - name: kahilwa-fit
    results: []

kahilwa-fit

This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5706

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: 0.0002
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.8879 0.9714 17 0.5706

Framework versions

  • PEFT 0.14.0
  • Transformers 4.50.3
  • Pytorch 2.6.0+cu124
  • Tokenizers 0.21.1