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peter2000/xlm-roberta-base-finetuned-ecoicop

sourceHugging Facemitupdated 5y agoView on Hugging Face
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Model Card

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xlm-roberta-base-finetuned-ecoicop

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.1685
  • —Acc: 0.9659

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossAcc
0.42241.025770.36120.9132
0.23132.051540.25100.9441
0.17463.077310.19280.9569
0.13254.0103080.17310.9640
0.09465.0128850.16850.9659

Framework versions

  • —Transformers 4.11.3
  • —Pytorch 1.9.0+cu111
  • —Datasets 1.14.0
  • —Tokenizers 0.10.3