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truong1301/my_awesome_qa_model_vifactcheck

sourceHugging Facemitupdated 1y agoView on Hugging Face
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myawesomeqamodelvifactcheck

This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0136

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: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —optimizer: Use OptimizerNames.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 Loss
0.38861.010370.2482
0.28572.020740.2373
0.22173.031110.1258
0.17174.041480.0892
0.14265.051850.0606
0.09246.062220.0524
0.0717.072590.0270
0.05148.082960.0198
0.03489.093330.0148
0.02410.0103700.0136

Framework versions

  • —Transformers 4.52.4
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.6.0
  • —Tokenizers 0.21.2