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zhendrysiak/Bielik-1.5B-v3.0-random-math-12-09

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

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Bielik-1.5B-v3.0-Instruct-random-1.5-finetune-r-8-alpha-16-02022025_hq

This model is a fine-tuned version of speakleash/Bielik-1.5B-v3.0-Instruct on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 5.5731

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: 2.5e-05
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Use pagedadamw8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2
  • —num_epochs: 1

Training results

Training LossEpochStepValidation Loss
5.47830.09805005.6279
5.50480.196110005.6114
5.59240.294115005.5986
5.50880.392220005.5918
5.53840.490225005.5837
5.6240.588230005.5796
5.49420.686335005.5772
5.44180.784340005.5748
5.48430.882445005.5737
5.49090.980450005.5731

Framework versions

  • —PEFT 0.17.1
  • —Transformers 4.56.1
  • —Pytorch 2.7.0
  • —Datasets 4.0.0
  • —Tokenizers 0.22.0