CoolFace
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javilonso/rm23_ctry_v2lr

sourceHugging Faceupdated 3y agoView on Hugging Face
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rm23ctryv2lr

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

  • —Loss: 0.2185
  • —F1: 0.9566

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: 8
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 4

Training results

Training LossEpochStepValidation LossF1
0.20881.0179960.18790.9311
0.14772.0359920.17720.9467
0.10063.0539880.21010.9508
0.06154.0719840.21850.9566

Framework versions

  • —Transformers 4.29.1
  • —Pytorch 1.13.1
  • —Datasets 2.12.0
  • —Tokenizers 0.13.3