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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 the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0405 |
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- Mean Distance: 0 |
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- Max Distance: 6 |
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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: 15 |
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- eval_batch_size: 15 |
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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 | Max Distance | Mean Distance | |
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|:-------------:|:-----:|:------:|:---------------:|:------------:|:-------------:| |
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| 0.0052 | 1.0 | 14041 | 0.0272 | 9 | 0 | |
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| 0.0045 | 2.0 | 28088 | 0.0327 | 0 | 9 | |
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| 0.0043 | 3.0 | 42132 | 0.0317 | 0 | 6 | |
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| 0.0042 | 4.0 | 56176 | 0.0316 | 0 | 6 | |
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| 0.0035 | 5.0 | 70220 | 0.0357 | 0 | 6 | |
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| 0.0032 | 6.0 | 84264 | 0.0365 | 0 | 6 | |
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| 0.0027 | 7.0 | 98308 | 0.0403 | 0 | 6 | |
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| 0.0027 | 8.0 | 112352 | 0.0398 | 0 | 6 | |
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| 0.0023 | 9.0 | 126396 | 0.0404 | 0 | 6 | |
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| 0.0023 | 10.0 | 140440 | 0.0385 | 0 | 6 | |
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| 0.002 | 11.0 | 154484 | 0.0407 | 0 | 6 | |
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| 0.0018 | 12.0 | 168528 | 0.0426 | 0 | 9 | |
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| 0.0018 | 13.0 | 182572 | 0.0422 | 0 | 6 | |
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| 0.0016 | 14.0 | 196616 | 0.0421 | 0 | 6 | |
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| 0.0016 | 15.0 | 210660 | 0.0402 | 0 | 6 | |
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| 0.0014 | 16.0 | 224704 | 0.0407 | 0 | 6 | |
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| 0.0014 | 17.0 | 238748 | 0.0427 | 0 | 6 | |
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| 0.0014 | 18.0 | 252792 | 0.0411 | 0 | 6 | |
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| 0.0013 | 19.0 | 266836 | 0.0406 | 0 | 6 | |
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| 0.0013 | 20.0 | 280880 | 0.0405 | 0 | 6 | |
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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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