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Shijia/xlm-roberta-base_arb_loss_5e-06

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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xlm-roberta-basearbloss_5e-06

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: 0.0250
  • —Spearman Corr: 0.7543

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: 5e-06
  • —trainbatchsize: 32
  • —evalbatchsize: 128
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 64
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 30
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation LossSpearman Corr
No log0.852000.02500.7524
No log1.694000.02510.7477
0.00622.546000.02520.7496
0.00623.388000.02650.7428
0.00644.2310000.02610.7512
0.00645.0712000.02610.7537
0.00645.9214000.02520.7528
0.00686.7716000.02580.7468
0.00687.6118000.02500.7543

Framework versions

  • —Transformers 4.37.2
  • —Pytorch 2.2.0+cu121
  • —Datasets 2.17.0
  • —Tokenizers 0.15.2