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Rain-air/Qwen3-8B-os-genesis-sft

sourceHugging Facemitupdated 8mo agoView on Hugging Face
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Model Card

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sft

This model is a fine-tuned version of /gemini/space/pretrained_models/Qwen3-8B on the os_genesis dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3289

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: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 4
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 16
  • —totalevalbatch_size: 4
  • —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: 0.1
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
0.4940.1124500.4359
0.4340.22471000.4011
0.42340.33711500.3937
0.38850.44942000.3780
0.37070.56182500.3593
0.35490.67423000.3460
0.33980.78653500.3343
0.36770.89894000.3299

Framework versions

  • —Transformers 4.57.1
  • —Pytorch 2.9.1+cu128
  • —Datasets 4.0.0
  • —Tokenizers 0.22.2