readme: ---
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: rubert-base-srl
    results: []
  ---
  
  <!-- 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-srl
  
  This model is a fine-tuned version of [./ruBert-base/](https://huggingface.co/./ruBert-base/) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2429
  - F1: 0.9563
  
  ## 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: 16
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
  - lr_scheduler_type: cosine
  - lr_scheduler_warmup_ratio: 0.06
  - num_epochs: 10.0
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | 0.5816        | 1.0   | 57   | 0.3865          | 0.8371 |
  | 0.3685        | 2.0   | 114  | 0.1707          | 0.9325 |
  | 0.1057        | 3.0   | 171  | 0.0972          | 0.9563 |
  | 0.0964        | 4.0   | 228  | 0.1429          | 0.9775 |
  | 0.1789        | 5.0   | 285  | 0.2493          | 0.9457 |
  | 0.0016        | 6.0   | 342  | 0.1900          | 0.6349 |
  | 0.0013        | 7.0   | 399  | 0.2060          | 0.9563 |
  | 0.0008        | 8.0   | 456  | 0.2321          | 0.9563 |
  | 0.0006        | 9.0   | 513  | 0.2412          | 0.9563 |
  | 0.0006        | 10.0  | 570  | 0.2429          | 0.9563 |
  
  
  ### Framework versions
  
  - Transformers 4.13.0.dev0
  - Pytorch 1.10.0+cu102
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  