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ar_norm_input_lrsmall

This model is a fine-tuned version of on the wikipedia + bookcorpus 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: 0.00015
  • train_batch_size: 32
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 4
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 256
  • total_eval_batch_size: 32
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 500000
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.12.0
  • Datasets 2.0.0
  • Tokenizers 0.13.2
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