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README.md
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---
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license: mit
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base_model:
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tags:
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- generated_from_trainer
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model-index:
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- name: text-normalization-ru-new
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# text-normalization-ru-new
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.0008
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- Mean Distance: 0
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mean Distance | Max Distance |
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|:-------------:|:-----:|:-----:|:---------------:|:-------------:|:------------:|
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| 0.0004 | 1.0 | 3059 | 0.0022 | 0 | 12 |
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| 0.0003 | 2.0 | 6118 | 0.0011 | 0 | 5 |
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| 0.0003 | 3.0 | 9177 | 0.0010 | 0 | 6 |
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| 0.0003 | 4.0 | 12236 | 0.0012 | 0 | 3 |
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| 0.0003 | 5.0 | 15295 | 0.0008 | 0 | 3 |
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| 0.0002 | 6.0 | 18354 | 0.0009 | 0 | 3 |
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| 0.0002 | 7.0 | 21413 | 0.0008 | 0 | 3 |
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| 0.0002 | 8.0 | 24472 | 0.0008 | 0 | 3 |
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| 0.0002 | 9.0 | 27531 | 0.0007 | 0 | 3 |
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| 0.0002 | 10.0 | 30590 | 0.0008 | 0 | 3 |
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| 0.0002 | 11.0 | 33649 | 0.0008 | 0 | 3 |
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| 0.0002 | 12.0 | 36708 | 0.0008 | 0 | 3 |
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| 0.0002 | 13.0 | 39767 | 0.0008 | 0 | 3 |
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| 0.0002 | 14.0 | 42826 | 0.0008 | 0 | 3 |
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| 0.0002 | 15.0 | 45885 | 0.0008 | 0 | 3 |
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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---
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license: mit
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base_model: cointegrated/rut5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: text-normalization-ru-new
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results: []
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language:
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- ru
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pipeline_tag: text2text-generation
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# text-normalization-ru-new
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This model is a fine-tuned version of [cointegrated/rut5-small](https://huggingface.co/cointegrated/rut5-small) on the Google Kadle and Custom dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0008
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- Mean Distance: 0
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 15
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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