Kuongan / xlm-roberta-base-sun-noaug

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 2
Model's Last Updated: February 26 2025
text-classification

Introduction of xlm-roberta-base-sun-noaug

Model Details of xlm-roberta-base-sun-noaug

xlm-roberta-base-sun-noaug

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

  • Loss: 0.5574
  • F1: 0.1466
  • Roc Auc: 0.4989
  • Accuracy: 0.4372
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
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss F1 Roc Auc Accuracy
0.6354 1.0 29 0.5574 0.1466 0.4989 0.4372
0.5644 2.0 58 0.4211 0.1405 0.5 0.4472
0.4091 3.0 87 0.4081 0.1405 0.5 0.4472
0.4172 4.0 116 0.4075 0.1405 0.5 0.4472
0.4186 5.0 145 0.4068 0.1405 0.5 0.4472
Framework versions
  • Transformers 4.47.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.21.0

Runs of Kuongan xlm-roberta-base-sun-noaug on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
2
30-day runs

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