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--- |
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license: mit |
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base_model: alexue4/text-normalization-ru-new |
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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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should probably proofread and complete it, then remove this comment. --> |
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# text-normalization-ru-new |
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This model is a fine-tuned version of [alexue4/text-normalization-ru-new](https://huggingface.co/alexue4/text-normalization-ru-new) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0005 |
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- Mean Distance: 0 |
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- Max Distance: 3 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 30 |
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- eval_batch_size: 30 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 20 |
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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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| 0.001 | 1.0 | 3459 | 0.0005 | 0 | 3 | |
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| 0.0007 | 2.0 | 6918 | 0.0005 | 0 | 3 | |
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| 0.0008 | 3.0 | 10377 | 0.0005 | 0 | 3 | |
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| 0.0007 | 4.0 | 13836 | 0.0006 | 0 | 3 | |
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| 0.0006 | 5.0 | 17295 | 0.0003 | 0 | 0 | |
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| 0.0006 | 6.0 | 20754 | 0.0003 | 0 | 0 | |
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| 0.0005 | 7.0 | 24213 | 0.0002 | 0 | 0 | |
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| 0.0006 | 8.0 | 27672 | 0.0005 | 0 | 3 | |
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| 0.0006 | 9.0 | 31131 | 0.0005 | 0 | 3 | |
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| 0.0005 | 10.0 | 34590 | 0.0006 | 0 | 3 | |
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| 0.0004 | 11.0 | 38049 | 0.0005 | 0 | 3 | |
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| 0.0005 | 12.0 | 41508 | 0.0004 | 0 | 0 | |
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| 0.0004 | 13.0 | 44967 | 0.0004 | 0 | 0 | |
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| 0.0004 | 14.0 | 48426 | 0.0005 | 0 | 0 | |
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| 0.0004 | 15.0 | 51885 | 0.0004 | 0 | 0 | |
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| 0.0004 | 16.0 | 55344 | 0.0005 | 0 | 3 | |
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| 0.0004 | 17.0 | 58803 | 0.0005 | 0 | 3 | |
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| 0.0004 | 18.0 | 62262 | 0.0005 | 0 | 3 | |
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| 0.0004 | 19.0 | 65721 | 0.0005 | 0 | 3 | |
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| 0.0004 | 20.0 | 69180 | 0.0005 | 0 | 3 | |
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### Framework versions |
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- Transformers 4.32.1 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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