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

sourceHugging Facemitupdated 2y agoView on Hugging Face
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pcm-xlm-asym-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: 0.1423
  • —F1-micro: 0.5555
  • —F1-macro: 0.5031

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: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 74
  • —num_epochs: 4

Training results

Training LossEpochStepValidation LossF1-microF1-macro
0.16281.01870.15520.44040.3523
0.14932.03740.13890.52240.4702
0.13393.05610.13940.52990.4801
0.12074.07480.14230.55550.5031

Framework versions

  • —Transformers 4.48.1
  • —Pytorch 2.4.1+cu121
  • —Datasets 3.2.0
  • —Tokenizers 0.21.0