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test_model

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: 0.3850
  • Accuracy: 0.829

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5957 1.0 625 0.4454 0.8
0.4693 2.0 1250 0.3850 0.829

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cpu
  • Datasets 2.18.0
  • Tokenizers 0.15.0
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