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End of training

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  1. README.md +13 -23
  2. pytorch_model.bin +1 -1
  3. trainer_state.json +866 -966
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -43,32 +43,22 @@ The following hyperparameters were used during training:
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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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16
  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.
17
  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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  - Mean Distance: 0
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+ - Max Distance: 0
21
 
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  ## Model description
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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: 10
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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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+ | 0.0023 | 1.0 | 3572 | 0.0001 | 0 | 0 |
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+ | 0.0017 | 2.0 | 7144 | 0.0000 | 0 | 0 |
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+ | 0.0017 | 3.0 | 10716 | 0.0000 | 0 | 0 |
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+ | 0.001 | 4.0 | 14288 | 0.0000 | 0 | 0 |
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+ | 0.0008 | 5.0 | 17860 | 0.0000 | 0 | 0 |
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+ | 0.0007 | 6.0 | 21432 | 0.0000 | 0 | 0 |
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+ | 0.0007 | 7.0 | 25004 | 0.0000 | 0 | 0 |
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+ | 0.0008 | 8.0 | 28576 | 0.0000 | 0 | 0 |
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+ | 0.0005 | 9.0 | 32148 | 0.0000 | 0 | 0 |
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+ | 0.0007 | 10.0 | 35720 | 0.0000 | 0 | 0 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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