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SoreHabte/distilbert-base-uncased-lora-text-classification

sourceHugging Faceapache-2.0updated 3y agoView on Hugging Face
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distilbert-base-uncased-lora-text-classification

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.9528
  • —Accuracy: {'accuracy': 0.887}

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: 0.001
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
No log1.02500.3796{'accuracy': 0.88}
0.41572.05000.4191{'accuracy': 0.879}
0.41573.07500.6114{'accuracy': 0.867}
0.19064.010000.5635{'accuracy': 0.882}
0.19065.012500.7240{'accuracy': 0.879}
0.07276.015000.8097{'accuracy': 0.883}
0.07277.017500.9097{'accuracy': 0.888}
0.02758.020000.9154{'accuracy': 0.887}
0.02759.022500.9432{'accuracy': 0.886}
0.013310.025000.9528{'accuracy': 0.887}

Framework versions

  • —PEFT 0.4.0
  • —Transformers 4.37.1
  • —Pytorch 2.1.2+cu121
  • —Datasets 2.16.1
  • —Tokenizers 0.15.1