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EslamAhmed171/qwen-first-aid-assistant

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

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qwen-first-aid-assistant

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B-Instruct on the firstaidtrain dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2372

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 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
0.22841.499625000.2685
0.13342.999350000.2372

Framework versions

  • —PEFT 0.15.1
  • —Transformers 4.51.3
  • —Pytorch 2.7.0+cu128
  • —Datasets 3.5.0
  • —Tokenizers 0.21.1