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

sourceHugging Faceapache-2.0updated 2y 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: 0.9731
  • —Accuracy: {'accuracy': 0.891}

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 log1.02500.3222{'accuracy': 0.895}
0.43572.05000.4879{'accuracy': 0.872}
0.43573.07500.5919{'accuracy': 0.895}
0.17514.010000.7484{'accuracy': 0.885}
0.17515.012500.7662{'accuracy': 0.892}
0.06286.015000.8518{'accuracy': 0.88}
0.06287.017500.9047{'accuracy': 0.894}
0.01868.020000.9434{'accuracy': 0.894}
0.01869.022500.9598{'accuracy': 0.895}
0.008310.025000.9731{'accuracy': 0.891}

Framework versions

  • —PEFT 0.10.0
  • —Transformers 4.40.0
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1