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xlm-roberta

This model is a fine-tuned version of AlexKay/xlm-roberta-large-qa-multilingual-finedtuned-ru on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.1842

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: 3
  • eval_batch_size: 3
  • 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
1.0083 1.0 15104 0.9420
0.8093 2.0 30208 0.9264
0.5576 3.0 45312 1.1842

Framework versions

  • Transformers 4.20.0.dev0
  • Pytorch 1.11.0+cu113
  • Datasets 2.2.2.dev0
  • Tokenizers 0.12.1
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Evaluation results