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belatijagad/dl-nli

sourceHugging Facemitupdated 1y agoView on Hugging Face
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dl-nli

This model is a fine-tuned version of MoritzLaurer/deberta-v3-large-zeroshot-v2.0 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.7775
  • —Accuracy: 0.8951

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: 2e-05
  • —trainbatchsize: 128
  • —evalbatchsize: 128
  • —seed: 42
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation LossAccuracy
0.3711.07970.33020.8790
0.19662.015940.32710.8898
0.11023.023910.39450.8914
0.07034.031880.50930.8892
0.04315.039850.53950.8901
0.03266.047820.63260.8884
0.02617.055790.63100.8948
0.01558.063760.67720.8966
0.00799.071730.76210.8940
0.00710.079700.77750.8951

Framework versions

  • —Transformers 4.51.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.6.0
  • —Tokenizers 0.21.1