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Phi-3-mini-4k-instruct-8bit-LMSYS-finetuned-v02

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4983

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: 5e-07
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 0
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.10.0
  • Transformers 4.43.3
  • Pytorch 2.2.2+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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