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jaycentg/pcm-xlm-focal-lr-3e-5

sourceHugging Facemitupdated 2y agoView on Hugging Face
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pcm-xlm-focal-lr-3e-5

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: 19.3029
  • —F1-micro: 0.5082
  • —F1-macro: 0.4857

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: 3e-05
  • —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
61.07061.018721.44610.37480.3681
58.47042.037419.80000.45830.4345
55.47093.056119.22230.48880.4739
53.63654.074819.30290.50820.4857

Framework versions

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