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jaycentg/pcm-xlm-focal

sourceHugging Facemitupdated 2y agoView on Hugging Face
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Model Card

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pcm-xlm-focal

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

  • Loss: 21.9762
  • F1-micro: 0.3651
  • F1-macro: 0.3291

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: 1.5e-06
  • trainbatchsize: 16
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • lrschedulerwarmup_steps: 74
  • num_epochs: 4

Training results

Training LossEpochStepValidation LossF1-microF1-macro
61.20981.018722.00400.35100.2858
60.97532.037421.99600.35240.2871
60.79433.056121.98420.36070.3188
60.73814.074821.97620.36510.3291

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.19.1