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update model card README.md

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@@ -20,7 +20,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.6469997769350881
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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
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the universal_dependencies dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9529
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- - F1: 0.6470
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  ## Model description
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@@ -56,15 +56,22 @@ The following hyperparameters were used during training:
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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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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 1.3108 | 1.0 | 131 | 1.0921 | 0.5891 |
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- | 0.8144 | 2.0 | 262 | 0.9781 | 0.6257 |
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- | 0.6165 | 3.0 | 393 | 0.9529 | 0.6470 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.6978625703821133
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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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  This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the universal_dependencies dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.3352
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+ - F1: 0.6979
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  ## Model description
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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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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 1.3039 | 1.0 | 131 | 1.0720 | 0.5871 |
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+ | 0.7911 | 2.0 | 262 | 0.9581 | 0.6335 |
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+ | 0.5448 | 3.0 | 393 | 0.9162 | 0.6718 |
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+ | 0.3709 | 4.0 | 524 | 0.9722 | 0.6819 |
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+ | 0.2565 | 5.0 | 655 | 1.0484 | 0.6847 |
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+ | 0.1923 | 6.0 | 786 | 1.1410 | 0.6924 |
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+ | 0.145 | 7.0 | 917 | 1.1692 | 0.6995 |
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+ | 0.1104 | 8.0 | 1048 | 1.2592 | 0.6981 |
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+ | 0.086 | 9.0 | 1179 | 1.3307 | 0.6972 |
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+ | 0.0715 | 10.0 | 1310 | 1.3352 | 0.6979 |
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  ### Framework versions