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alibrcn/llama8b-netlist-lora

sourceHugging Facemitupdated 11mo agoView on Hugging Face
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Model Card

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llama8b-netlist-lora

This model is a fine-tuned version of deepseek-ai/DeepSeek-R1-Distill-Llama-8B on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7873

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: 0.0002
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —gradientaccumulationsteps: 16
  • —totaltrainbatch_size: 16
  • —optimizer: Use OptimizerNames.PAGEDADAMW8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 100
  • —num_epochs: 3
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
1.14180.1465501.1014
0.98430.29291000.9528
0.86270.43941500.9061
0.87490.58592000.8757
0.81360.73232500.8529
0.82940.87883000.8440
0.78291.02343500.8361
0.7471.16994000.8230
0.75671.31644500.8226
0.75791.46285000.8138
0.73871.60935500.8079
0.77441.75586000.8008
0.74941.90226500.7939
0.68292.04697000.7967
0.70442.19337500.7945
0.71442.33988000.7925
0.68892.48638500.7894
0.70952.63279000.7882
0.70642.77929500.7878
0.68542.925710000.7873

Framework versions

  • —PEFT 0.16.0
  • —Transformers 4.57.1
  • —Pytorch 2.6.0+cu124
  • —Datasets 4.1.1
  • —Tokenizers 0.22.1