CoolFace
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youssefedweqd/Models_Ouput2

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face
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Model Card

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Models_Ouput2

This model is a fine-tuned version of Qwen/Qwen3-0.6B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.3767

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: 0.0001
  • trainbatchsize: 1
  • evalbatchsize: 1
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 4
  • optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • lrschedulertype: cosine
  • lrschedulerwarmup_ratio: 0.1
  • num_epochs: 3.0

Training results

Training LossEpochStepValidation Loss
1.28620.01661001.2021
1.05390.03312001.0201
0.4951.060400.4768
0.36332.0120800.3888
0.28373.0181200.3767

Framework versions

  • PEFT 0.15.1
  • Transformers 4.51.3
  • Pytorch 2.6.0+cu124
  • Datasets 3.5.0
  • Tokenizers 0.21.1