text-normalization-ru-new

This model is a fine-tuned version of cointegrated/rut5-small on the Google Kadle and Custom dataset. It achieves the following results on the evaluation set:

• Loss: 0.0008
• Mean Distance: 0
• Max Distance: 3

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: 150
• eval_batch_size: 150
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.1
• Tokenizers 0.15.1