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kyleliu789/qwen3-14b-sft-5e-6-learning-rate

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Model Card

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qwen314bsvampsftlr_5e-6

This model is a fine-tuned version of Qwen/Qwen3-14B on the svampfinalsft_train dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4735

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-06
  • —trainbatchsize: 8
  • —evalbatchsize: 1
  • —seed: 42
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.05
  • —num_epochs: 1.0

Training results

Training LossEpochStepValidation Loss
1.05940.8114501.1406
0.8780.20281000.8873
0.66590.30431500.7197
0.59640.40572000.6331
0.51920.50712500.5681
0.44710.60853000.5216
0.45130.70993500.4925
0.46350.81144000.4787
0.45940.91284500.4737

Framework versions

  • —PEFT 0.18.1
  • —Transformers 4.56.2
  • —Pytorch 2.7.1+cu128
  • —Datasets 3.6.0
  • —Tokenizers 0.22.2