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oza75
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bm-t5-text-normalization-1

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text2text-generation
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text-generation-inference
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bm-t5-text-normalization-1

This model is a fine-tuned version of google/flan-t5-base on the oza75/bm-text-normalization and the djelia/bm-text-normalization datasets.

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 4

Training results

Framework versions

  • Transformers 4.57.3
  • Pytorch 2.9.1+cu128
  • Datasets 3.6.0
  • Tokenizers 0.22.2
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