xlm-roberta-large-finetuned-squad

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

  • Loss: 1.0350

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
1.6093 1.0 620 1.0023
0.849 2.0 1240 0.9449
0.6693 3.0 1860 1.0350

Framework versions

  • Transformers 4.10.0
  • Pytorch 1.9.0+cu102
  • Datasets 1.11.0
  • Tokenizers 0.10.3
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Select AutoNLP in the “Train” menu to fine-tune this model automatically.

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