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stlee9048/fine_tune_output_llama_3.2_3B_Instruct

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

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finetuneoutputllama3.23BInstruct

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

  • —Loss: 0.8439

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: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 16
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: constantwithwarmup
  • —lrschedulerwarmup_steps: 50
  • —training_steps: 100

Training results

Training LossEpochStepValidation Loss
5.30980.0170104.6081
3.47810.0340203.3873
2.78650.0510302.4973
1.37260.0679401.5682
1.20720.0849500.9569
1.2580.1019600.8688
1.30570.1189700.8637
0.75720.1359800.8554
1.2120.1529900.8531
0.58330.16991000.8439

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.44.0
  • —Pytorch 2.5.1+cu121
  • —Datasets 3.2.0
  • —Tokenizers 0.19.1