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metadata
tags:
  - summarization
  - text-generation
pipeline_tag: summarization
model-index:
  - name: Bartpho_spelling_correction
    results: []
license: apache-2.0
language:
  - vi
library_name: transformers
metrics:
  - accuracy

Bartpho_spelling_correction

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.0098
  • eval_runtime: 743.5931
  • eval_samples_per_second: 19.365
  • eval_steps_per_second: 4.841
  • epoch: 0.0278
  • step: 500

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
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1