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pixel-base-finetuned-jaquad

This model is a fine-tuned version of Team-PIXEL/pixel-base on the SkelterLabsInc/JaQuAD 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: 7e-05
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 45
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 100
  • training_steps: 20000
  • mixed_precision_training: Apex, opt level O1

Training results

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.11.0
  • Datasets 2.0.0
  • Tokenizers 0.12.1
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Dataset used to train Team-PIXEL/pixel-base-finetuned-jaquad