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simon-muenker/TWON-Agent-OSN-debug

sourceHugging Facellama3.2updated 1y agoView on Hugging Face
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Model Card

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TWON-Agent-OSN-debug

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the generator dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.8582

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-05
  • —trainbatchsize: 4
  • —evalbatchsize: 8
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 8

Training results

Training LossEpochStepValidation Loss
3.40661.053.2770
3.26782.0103.1435
3.14183.0153.0416
3.04824.0202.9683
2.97715.0252.9152
2.92856.0302.8812
2.89717.0352.8638
2.8848.0402.8582

Framework versions

  • —PEFT 0.12.0
  • —Transformers 4.47.1
  • —Pytorch 2.5.1+cu124
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0