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  1. README.md +14 -24
  2. pytorch_model.bin +1 -1
  3. trainer_state.json +883 -983
  4. training_args.bin +1 -1
README.md CHANGED
@@ -13,11 +13,11 @@ 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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@@ -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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- | 0.0017 | 1.0 | 7406 | 0.0003 | 0 | 3 |
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- | 0.0011 | 2.0 | 14812 | 0.0004 | 0 | 3 |
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- | 0.0012 | 3.0 | 22218 | 0.0007 | 0 | 3 |
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- | 0.0008 | 4.0 | 29624 | 0.0006 | 0 | 3 |
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- | 0.0009 | 5.0 | 37030 | 0.0006 | 0 | 3 |
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- | 0.0007 | 6.0 | 44436 | 0.0004 | 0 | 3 |
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- | 0.0007 | 7.0 | 51842 | 0.0004 | 0 | 3 |
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- | 0.0008 | 8.0 | 59248 | 0.0004 | 0 | 3 |
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- | 0.0006 | 9.0 | 66654 | 0.0005 | 0 | 3 |
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- | 0.0007 | 10.0 | 74060 | 0.0007 | 0 | 3 |
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- | 0.0006 | 11.0 | 81466 | 0.0005 | 0 | 3 |
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- | 0.0004 | 12.0 | 88872 | 0.0005 | 0 | 3 |
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- | 0.0004 | 13.0 | 96278 | 0.0005 | 0 | 3 |
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- | 0.0005 | 14.0 | 103684 | 0.0005 | 0 | 3 |
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- | 0.0004 | 15.0 | 111090 | 0.0004 | 0 | 3 |
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- | 0.0004 | 16.0 | 118496 | 0.0004 | 0 | 3 |
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- | 0.0004 | 17.0 | 125902 | 0.0004 | 0 | 3 |
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- | 0.0004 | 18.0 | 133308 | 0.0005 | 0 | 3 |
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- | 0.0004 | 19.0 | 140714 | 0.0005 | 0 | 3 |
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- | 0.0004 | 20.0 | 148120 | 0.0005 | 0 | 3 |
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  ### Framework versions
 
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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: 0.0480
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  - Mean Distance: 0
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+ - Max Distance: 40
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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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+ | 0.0163 | 1.0 | 23701 | 0.0428 | 0 | 43 |
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+ | 0.0132 | 2.0 | 47402 | 0.0420 | 0 | 44 |
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+ | 0.0111 | 3.0 | 71103 | 0.0444 | 0 | 35 |
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+ | 0.0095 | 4.0 | 94804 | 0.0449 | 0 | 43 |
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+ | 0.0088 | 5.0 | 118505 | 0.0446 | 0 | 40 |
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+ | 0.0076 | 6.0 | 142206 | 0.0462 | 0 | 33 |
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+ | 0.0074 | 7.0 | 165907 | 0.0466 | 0 | 38 |
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+ | 0.0068 | 8.0 | 189608 | 0.0478 | 0 | 39 |
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+ | 0.0069 | 9.0 | 213309 | 0.0489 | 0 | 39 |
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+ | 0.0061 | 10.0 | 237010 | 0.0480 | 0 | 40 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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