xlm-roberta-large-finetuned-squad-v2

This model is a fine-tuned version of xlm-roberta-large on the squad_v2 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4627

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: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 32
  • 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
2.029 1.0 950 0.9281
0.9774 2.0 1900 0.6130
0.6781 3.0 2850 0.4627

Framework versions

  • Transformers 4.11.3
  • Pytorch 1.9.0+cu111
  • Datasets 1.12.1
  • Tokenizers 0.10.3
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Dataset used to train sontn122/xlm-roberta-large-finetuned-squad-v2

Evaluation results