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wedo2910/generative_qa_model

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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generativeqamodel

This model is a fine-tuned version of ArabicNLP/mT5-base_ar on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8481

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: 1e-05
  • trainbatchsize: 8
  • evalbatchsize: 8
  • 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
13.93931.06486.9092
5.03062.012962.7919
2.72943.019442.0758
2.0674.025921.2531
1.56785.032400.9861
1.39346.038880.9093
1.21987.045360.8782
1.14128.051840.8594
1.13099.058320.8506
1.157710.064800.8481

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0