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Incomple/Llama-3.1-8B-Instruct_sft_sg_values_p005_OA_silver

sourceHugging Facellama3.1updated 1y agoView on Hugging Face
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Llama-3.1-8B-Instructsftsgvaluesp005OAsilver

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the sftsgvaluesp005OA_silver dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1600

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: 1e-06
  • trainbatchsize: 2
  • evalbatchsize: 2
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 8
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: linear
  • lrschedulerwarmup_ratio: 0.1
  • num_epochs: 1.0

Training results

Training LossEpochStepValidation Loss
0.38610.17802500.3353
0.30750.35605000.2136
0.26060.53407500.1820
0.24040.712010000.1669
0.2570.890012500.1612

Framework versions

  • PEFT 0.15.2
  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 2.21.0
  • Tokenizers 0.21.1
Incomple/Llama-3.1-8B-Instruct_sft_sg_values_p005_OA_silver · CoolFace