UniversalCEFR / xlm-roberta-base-cefr-all-classifier

huggingface.co
Total runs: 246
24-hour runs: 0
7-day runs: 9
30-day runs: 158
Model's Last Updated: April 22 2025
text-classification

Introduction of xlm-roberta-base-cefr-all-classifier

Model Details of xlm-roberta-base-cefr-all-classifier

xlm-roberta-base-cefr-all-classifier

This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1171
  • F1: 0.9529
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: 3.6e-05
  • train_batch_size: 2
  • eval_batch_size: 3
  • seed: 42
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 32
  • optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 3
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss F1
0.1481 1.0 13623 0.1473 0.9416
0.1133 2.0 27246 0.1190 0.9486
0.0852 2.9998 40866 0.1171 0.9529
Framework versions
  • Transformers 4.51.0
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.21.0

Runs of UniversalCEFR xlm-roberta-base-cefr-all-classifier on huggingface.co

246
Total runs
0
24-hour runs
2
3-day runs
9
7-day runs
158
30-day runs

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