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Arifaa/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: 1.0886
  • —Accuracy: {'accuracy': 0.885}

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 log1.02500.4321{'accuracy': 0.87}
0.44772.05000.4713{'accuracy': 0.863}
0.44773.07500.5655{'accuracy': 0.877}
0.21844.010000.6685{'accuracy': 0.872}
0.21845.012500.7549{'accuracy': 0.889}
0.07096.015001.0147{'accuracy': 0.885}
0.07097.017500.9756{'accuracy': 0.878}
0.0248.020001.0414{'accuracy': 0.885}
0.0249.022501.0876{'accuracy': 0.886}
0.005310.025001.0886{'accuracy': 0.885}

Framework versions

  • —PEFT 0.7.1
  • —Transformers 4.36.1
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.14.7
  • —Tokenizers 0.15.0