Kuongan / Halxlm-roberta-base_finetuned_rm_con

huggingface.co
Total runs: 12
24-hour runs: 0
7-day runs: 1
30-day runs: 11
Model's Last Updated: September 24 2025
text-classification

Introduction of Halxlm-roberta-base_finetuned_rm_con

Model Details of Halxlm-roberta-base_finetuned_rm_con

Halxlm-roberta-base_finetuned_rm_con

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: 0.7015
  • Accuracy: 0.7657
  • F1 Macro: 0.7671
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 OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 20
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Macro
No log 1.0 175 1.0707 0.5229 0.5073
No log 2.0 350 0.7987 0.6543 0.6373
0.9245 3.0 525 0.7000 0.7371 0.7380
0.9245 4.0 700 0.7129 0.7464 0.7482
0.9245 5.0 875 0.6853 0.7543 0.7550
0.5705 6.0 1050 0.7015 0.7657 0.7671
0.5705 7.0 1225 0.7897 0.7529 0.7525
0.5705 8.0 1400 0.8227 0.7607 0.7616
0.3921 9.0 1575 0.8236 0.7457 0.7432
Framework versions
  • Transformers 4.52.4
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.2

Runs of Kuongan Halxlm-roberta-base_finetuned_rm_con on huggingface.co

12
Total runs
0
24-hour runs
0
3-day runs
1
7-day runs
11
30-day runs

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