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roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2

This model is a fine-tuned version of roberta-large on the squad dataset.

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: 0.0001
  • train_batch_size: 64
  • eval_batch_size: 128
  • seed: 2
  • distributed_type: multi-GPU
  • num_devices: 2
  • total_train_batch_size: 128
  • total_eval_batch_size: 256
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 75

Training results

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.11.0+cu113
  • Datasets 2.0.0
  • Tokenizers 0.11.6
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Dataset used to train anas-awadalla/roberta-large-houlsby-few-shot-k-32-finetuned-squad-seed-2