Bestclean-ViMrclarge-TFIDFPNS-ver1

This model is a fine-tuned version of nguyenvulebinh/vi-mrc-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5549

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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss
1.0694 1.0 613 0.6726
0.5911 2.0 1226 0.5549

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
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