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bert-base-uncased-few-shot-k-128-finetuned-squad-seed-10

This model is a fine-tuned version of bert-base-uncased 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: 3e-05
  • train_batch_size: 24
  • eval_batch_size: 24
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 200

Training results

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.2+cu102
  • Datasets 1.17.0
  • Tokenizers 0.10.3
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Dataset used to train anas-awadalla/bert-base-uncased-few-shot-k-128-finetuned-squad-seed-10