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longformer_cosmos

This model was trained from scratch on the cosmos_qa 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: 5e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 25
  • total_train_batch_size: 100
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Framework versions

  • Transformers 4.21.3
  • Pytorch 1.12.1
  • Datasets 2.5.1
  • Tokenizers 0.11.0
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Dataset used to train Shaier/longformer_cosmos