summervent / speller-t5-909

huggingface.co
Total runs: 0
24-hour runs: 0
7-day runs: 0
30-day runs: -7
Model's Last Updated: February 08 2023
text-generation

Introduction of speller-t5-909

Model Details of speller-t5-909

speller-t5-909

This model is a fine-tuned version of sberbank-ai/ruT5-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0814
  • Rouge1: 18.2203
  • Rouge2: 5.9322
  • Rougel: 17.7966
  • Rougelsum: 18.2203
  • Gen Len: 42.0424
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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP
Training results
Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
0.3022 0.1 1500 0.1563 18.2203 5.9322 17.7966 18.2203 43.4492
0.2274 0.2 3000 0.1311 18.2203 5.9322 17.7966 18.2203 42.3814
0.2001 0.31 4500 0.1128 18.2203 5.9322 17.7966 18.2203 41.9407
0.1757 0.41 6000 0.1063 18.2203 5.9322 17.7966 18.2203 42.2542
0.1612 0.51 7500 0.1002 17.9379 5.0847 17.5141 17.7966 42.339
0.1718 0.61 9000 0.0921 18.2203 5.9322 17.7966 18.2203 42.0508
0.1678 0.72 10500 0.0834 17.7966 5.0847 17.3729 17.7966 41.9831
0.1407 0.82 12000 0.0793 18.2203 5.9322 17.7966 18.2203 42.2119
0.1447 0.92 13500 0.0814 18.2203 5.9322 17.7966 18.2203 42.0424
Framework versions
  • Transformers 4.26.0
  • Pytorch 1.13.1+cu116
  • Datasets 2.9.0
  • Tokenizers 0.13.2

Runs of summervent speller-t5-909 on huggingface.co

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