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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: 0.0003 |
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- Mean Distance: 0 |
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- Max Distance: 0 |
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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: 25 |
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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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| 0.0013 | 1.0 | 69 | 0.0028 | 0 | 2 | |
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| 0.0006 | 2.0 | 138 | 0.0026 | 0 | 3 | |
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| 0.0025 | 3.0 | 207 | 0.0039 | 0 | 3 | |
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| 0.0004 | 4.0 | 276 | 0.0037 | 0 | 3 | |
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| 0.0005 | 5.0 | 345 | 0.0091 | 0 | 3 | |
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| 0.0009 | 6.0 | 414 | 0.0006 | 0 | 0 | |
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| 0.0016 | 7.0 | 483 | 0.0003 | 0 | 0 | |
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| 0.0012 | 8.0 | 552 | 0.0111 | 0 | 5 | |
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| 0.0008 | 9.0 | 621 | 0.0004 | 0 | 0 | |
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| 0.0018 | 10.0 | 690 | 0.0003 | 0 | 0 | |
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| 0.0028 | 11.0 | 759 | 0.0003 | 0 | 0 | |
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| 0.0008 | 12.0 | 828 | 0.0003 | 0 | 0 | |
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| 0.001 | 13.0 | 897 | 0.0004 | 0 | 2 | |
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| 0.0026 | 14.0 | 966 | 0.0005 | 0 | 2 | |
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| 0.0015 | 15.0 | 1035 | 0.0007 | 0 | 3 | |
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| 0.0009 | 16.0 | 1104 | 0.0007 | 0 | 3 | |
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| 0.0014 | 17.0 | 1173 | 0.0003 | 0 | 0 | |
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| 0.001 | 18.0 | 1242 | 0.0004 | 0 | 0 | |
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| 0.0007 | 19.0 | 1311 | 0.0013 | 0 | 3 | |
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| 0.0013 | 20.0 | 1380 | 0.0013 | 0 | 3 | |
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| 0.0007 | 21.0 | 1449 | 0.0003 | 0 | 0 | |
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| 0.0016 | 22.0 | 1518 | 0.0003 | 0 | 0 | |
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| 0.0013 | 23.0 | 1587 | 0.0003 | 0 | 0 | |
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| 0.0004 | 24.0 | 1656 | 0.0003 | 0 | 0 | |
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| 0.001 | 25.0 | 1725 | 0.0003 | 0 | 0 | |
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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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