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metadata
base_model: microsoft/Phi-3-mini-128k-instruct
library_name: peft
license: mit
pipeline_tag: text-generation
tags:
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: Phi-3-mini-128k-instruct_fineTuned_e6f8433e-e889-47ee-a754-4f0dba1780fe
    results: []

Phi-3-mini-128k-instruct_fineTuned_e6f8433e-e889-47ee-a754-4f0dba1780fe

This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on an unknown 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: 1
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • training_steps: 2

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.39.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2