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amritpuhan/fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-swag-peft

sourceHugging Facemitupdated 2y agoView on Hugging Face
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fine-tuned-MoritzLaurer-deberta-v3-large-zeroshot-v2.0-swag-peft

This model is a fine-tuned version of MoritzLaurer/deberta-v3-large-zeroshot-v2.0 on SWAG dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.2169
  • —Accuracy: 0.9193

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: 1.5e-05
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossAccuracy
0.57561.045970.29410.8993
0.51862.091940.25380.9115
0.51393.0137910.23990.9136
0.49334.0183880.22820.9158
0.47865.0229850.22780.9165
0.46576.0275820.22150.9182
0.46857.0321790.21990.9189
0.46318.0367760.21880.9188
0.46299.0413730.21860.9188
0.455610.0459700.21690.9193

Framework versions

  • —PEFT 0.11.1
  • —Transformers 4.41.2
  • —Pytorch 2.3.1+cu121
  • —Datasets 2.19.2
  • —Tokenizers 0.19.1