phi-2-sft-openhermes-128k-v2

This model is a fine-tuned version of microsoft/phi-2 on the generator dataset. It achieves the following results on the evaluation set:

  • Loss: 1.0663
  • Model Preparation Time: 0.0259

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: 1.5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Model Preparation Time
1.0842 0.0809 200 1.0744 0.0259
1.0767 0.1617 400 1.0724 0.0259
1.0997 0.2426 600 1.0716 0.0259
1.0758 0.3234 800 1.0707 0.0259
1.0949 0.4043 1000 1.0697 0.0259
1.0892 0.4851 1200 1.0687 0.0259
1.0876 0.5660 1400 1.0682 0.0259
1.0873 0.6469 1600 1.0676 0.0259
1.0679 0.7277 1800 1.0671 0.0259
1.0802 0.8086 2000 1.0669 0.0259
1.0823 0.8894 2200 1.0667 0.0259
1.0812 0.9703 2400 1.0663 0.0259

Framework versions

  • PEFT 0.12.0
  • Transformers 4.44.0
  • Pytorch 2.4.0+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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