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metadata
library_name: peft
license: mit
base_model: unsloth/Phi-3.5-mini-instruct
tags:
  - axolotl
  - generated_from_trainer
model-index:
  - name: 29c4cf24-75ec-4399-80f0-de88b3bd813a
    results: []

Built with Axolotl

29c4cf24-75ec-4399-80f0-de88b3bd813a

This model is a fine-tuned version of unsloth/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 12.9904

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: 0.000212
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 120
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
No log 0.0005 1 8.8858
13.1652 0.2455 500 12.9904

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.0
  • Pytorch 2.5.0+cu124
  • Datasets 3.0.1
  • Tokenizers 0.20.1