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albert-large-v2_squad

This model is a fine-tuned version of albert-large-v2 on the squadV1 dataset.

  • "eval_exact_match": 84.80605487228004
  • "eval_f1": 91.80638438705844
  • "eval_samples": 10808

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: 16
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Framework versions

  • Transformers 4.14.1
  • Pytorch 1.9.0
  • Datasets 1.16.1
  • Tokenizers 0.10.3
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Dataset used to train Palak/albert-large-v2_squad