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kyleliu789/qwen3-14b-sft-1e-5-learning-rate

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
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Model Card

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qwen314bsvampsftlr_1e-5

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: 0.3206

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-05
  • —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
0.92480.1014500.8938
0.6060.20281000.6122
0.38650.30431500.4469
0.33750.40572000.3763
0.31770.50712500.3466
0.27030.60853000.3316
0.28780.70993500.3248
0.31510.81144000.3217
0.31030.91284500.3207

Framework versions

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