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XLM-RoBERTa-xtreme-en

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

  • Loss: 0.2838
  • Accuracy: 0.9109
  • F1: 0.7544

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.6502 1.0 235 0.3328 0.8995 0.7251
0.3239 2.0 470 0.2897 0.9101 0.7473
0.2644 3.0 705 0.2838 0.9109 0.7544

Framework versions

  • Transformers 4.20.1
  • Pytorch 1.11.0+cu113
  • Datasets 2.3.2
  • Tokenizers 0.12.1
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Evaluation results