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oguz7/printer_ai_lora_llama32_1b

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

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printerailorallama321b

This model is a fine-tuned version of unsloth/llama-3.2-1b-instruct on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0436

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: 0.0003
  • trainbatchsize: 2
  • evalbatchsize: 2
  • seed: 42
  • gradientaccumulationsteps: 4
  • totaltrainbatch_size: 8
  • 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
  • lrschedulerwarmup_steps: 50
  • num_epochs: 3
  • mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
0.13140.51000.1281
0.08621.02000.0874
0.05821.53000.0572
0.04782.04000.0459
0.04422.55000.0443
0.04413.06000.0436

Framework versions

  • PEFT 0.17.1
  • Transformers 4.56.1
  • Pytorch 2.8.0+cu126
  • Datasets 4.0.0
  • Tokenizers 0.22.0