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aabid123/xlm-roberta-base-finetuned-translation

sourceHugging Facemitupdated 2y agoView on Hugging Face
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xlm-roberta-base-finetuned-translation

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

  • —Loss: 0.0497
  • —Pearsonr: 0.8316

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: 10

Training results

Training LossEpochStepValidation LossPearsonr
0.08361.02960.11060.8231
0.05122.05920.05120.8233
0.0523.08880.05970.8255
0.04664.011840.05390.8208
0.05355.014800.04850.8291
0.04776.017760.04790.8306
0.04327.020720.04970.8316
0.04958.023680.04900.8290
0.04549.026640.04920.8262
0.049610.029600.05030.8239

Framework versions

  • —Transformers 4.40.1
  • —Pytorch 2.2.1+cu121
  • —Datasets 2.19.0
  • —Tokenizers 0.19.1