中文

arzwiki_mlm (arzRoBERTa)

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Pseudo-Perplexity:

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: 0.0001
  • train_batch_size: 256
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Epoch Step Training Loss
1 2500 2.038300
2 5000 0.878800
3 7500 0.682800
4 10000 0.613100
5 12500 0.574500
Train Runtime Train Samples Per Second Train Steps Per Second Total Flos Train Loss Epoch
14677.117400 248.119000 0.970000 120746231839334400.000000 0.908513 5.000000

Framework versions

  • Datasets 2.9.0
  • Tokenizers 0.12.1
  • Transformers 4.24.0
  • Pytorch 1.12.1+cu116