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prajwalJumde/QA_REDACTION_NOV1_19-a

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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QAREDACTIONNOV1_19-a

This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.0317

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: 3
  • —evalbatchsize: 3
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 10

Training results

Training LossEpochStepValidation Loss
1.25581.09980.0586
0.04612.019960.0427
0.00983.029940.0394
0.03744.039920.0479
0.04935.049900.0329
0.02736.059880.0374
0.01687.069860.0363
0.0148.079840.0300
0.01189.089820.0264
0.016610.099800.0317

Framework versions

  • —Transformers 4.34.1
  • —Pytorch 2.0.1
  • —Datasets 2.14.6
  • —Tokenizers 0.14.1