AyoubChLin / phi-3-mini-QLoRA-passet-classifier-only

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Model's Last Updated: October 18 2024

Introduction of phi-3-mini-QLoRA-passet-classifier-only

Model Details of phi-3-mini-QLoRA-passet-classifier-only

phi-3-mini-QLoRA-passet-classifier-only

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

  • Loss: 1.3628
Model description

More information needed

Intended uses & limitations

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Training and evaluation data

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Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 1
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss
1.3955 0.7968 50 1.3628
Framework versions
  • PEFT 0.13.2
  • Transformers 4.45.2
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.20.1

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Total runs: 14
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Growth Rate: 14.29%
Updated:January 25 2024