readme: ---
  license: mit
  tags:
  - generated_from_trainer
  metrics:
  - f1
  model-index:
  - name: tests
    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. -->
  
  # tests
  
  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 2.2590
  - F1: 0.6703
  
  ## 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: 3e-05
  - train_batch_size: 16
  - eval_batch_size: 16
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 20
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | F1     |
  |:-------------:|:-----:|:----:|:---------------:|:------:|
  | No log        | 1.0   | 65   | 1.6059          | 0.4378 |
  | No log        | 2.0   | 130  | 1.1745          | 0.5973 |
  | No log        | 3.0   | 195  | 1.1097          | 0.6622 |
  | No log        | 4.0   | 260  | 1.1188          | 0.6459 |
  | No log        | 5.0   | 325  | 1.2955          | 0.6324 |
  | No log        | 6.0   | 390  | 1.5177          | 0.6541 |
  | No log        | 7.0   | 455  | 1.8703          | 0.6189 |
  | 0.6433        | 8.0   | 520  | 1.7936          | 0.6486 |
  | 0.6433        | 9.0   | 585  | 1.9287          | 0.6459 |
  | 0.6433        | 10.0  | 650  | 1.9884          | 0.6595 |
  | 0.6433        | 11.0  | 715  | 2.0985          | 0.6568 |
  | 0.6433        | 12.0  | 780  | 2.1248          | 0.6730 |
  | 0.6433        | 13.0  | 845  | 2.1511          | 0.6676 |
  | 0.6433        | 14.0  | 910  | 2.2218          | 0.6622 |
  | 0.6433        | 15.0  | 975  | 2.2069          | 0.6703 |
  | 0.0065        | 16.0  | 1040 | 2.2273          | 0.6676 |
  | 0.0065        | 17.0  | 1105 | 2.2626          | 0.6649 |
  | 0.0065        | 18.0  | 1170 | 2.2593          | 0.6703 |
  | 0.0065        | 19.0  | 1235 | 2.2577          | 0.6703 |
  | 0.0065        | 20.0  | 1300 | 2.2590          | 0.6703 |
  
  
  ### Framework versions
  
  - Transformers 4.26.0
  - Pytorch 1.13.1+cu116
  - Datasets 2.9.0
  - Tokenizers 0.13.2
  