readme: ---
  tags:
  - generated_from_trainer
  datasets:
  - universal_dependencies
  metrics:
  - f1
  model-index:
  - name: rubert-base-cased-finetuned-panx-de
    results:
    - task:
        name: Token Classification
        type: token-classification
      dataset:
        name: universal_dependencies
        type: universal_dependencies
        config: ru_taiga
        split: train
        args: ru_taiga
      metrics:
      - name: F1
        type: f1
        value: 0.6978625703821133
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # rubert-base-cased-finetuned-panx-de
  
  This model is a fine-tuned version of [DeepPavlov/rubert-base-cased](https://huggingface.co/DeepPavlov/rubert-base-cased) on the universal_dependencies dataset.
  It achieves the following results on the evaluation set:
  - Loss: 1.3352
  - F1: 0.6979
  
  ## Model description
  
  More information needed
  
  ## Intended uses & limitations
  
  More information needed
  
  ## Training and evaluation data
  
  More information needed
  
  ## Training procedure
  
  ### Training hyperparameters
  
  The following hyperparameters were used during training:
  - learning_rate: 5e-05
  - train_batch_size: 24
  - eval_batch_size: 24
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 1.3039        | 1.0   | 131  | 1.0720          | 0.5871 |
  | 0.7911        | 2.0   | 262  | 0.9581          | 0.6335 |
  | 0.5448        | 3.0   | 393  | 0.9162          | 0.6718 |
  | 0.3709        | 4.0   | 524  | 0.9722          | 0.6819 |
  | 0.2565        | 5.0   | 655  | 1.0484          | 0.6847 |
  | 0.1923        | 6.0   | 786  | 1.1410          | 0.6924 |
  | 0.145         | 7.0   | 917  | 1.1692          | 0.6995 |
  | 0.1104        | 8.0   | 1048 | 1.2592          | 0.6981 |
  | 0.086         | 9.0   | 1179 | 1.3307          | 0.6972 |
  | 0.0715        | 10.0  | 1310 | 1.3352          | 0.6979 |
  
  
  ### Framework versions
  
  - Transformers 4.25.1
  - Pytorch 1.13.0+cu117
  - Datasets 2.7.1
  - Tokenizers 0.13.2
  