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yangwooko/smartmind-cyberone-20250507-0420-revisit

sourceHugging Faceupdated 1y agoView on Hugging Face
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smartmind-cyberone-20250507-0420-revisit

This model is a fine-tuned version of yangwooko/smartmind-cyberone-20250405 on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0135

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
  • —trainbatchsize: 64
  • —evalbatchsize: 8
  • —seed: 42
  • —distributed_type: multi-GPU
  • —gradientaccumulationsteps: 64
  • —totaltrainbatch_size: 4096
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosinewithrestarts
  • —lrschedulerwarmup_ratio: 0.1
  • —num_epochs: 5
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.01530.3527300.0180
0.01610.7054600.0312
0.02071.0470900.0364
0.02851.39971200.0227
0.02111.75241500.0218
0.01612.09401800.0202
0.01742.44672100.0197
0.0172.79942400.0202
0.01513.14112700.0160
0.0163.49383000.0129
0.01623.84643300.0134
0.01574.18813600.0132
0.01564.54083900.0144
0.0154.89354200.0135

Framework versions

  • —Transformers 4.51.3
  • —Pytorch 2.7.0+cu126
  • —Tokenizers 0.21.1