readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: bart-mlm-paraphrasing
    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. -->
  
  # bart-mlm-paraphrasing
  
  This model is a fine-tuned version of [gayanin/bart-mlm-pubmed](https://huggingface.co/gayanin/bart-mlm-pubmed) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4617
  - Rouge2 Precision: 0.8361
  - Rouge2 Recall: 0.6703
  - Rouge2 Fmeasure: 0.7304
  
  ## 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: 2e-05
  - train_batch_size: 8
  - eval_batch_size: 8
  - seed: 42
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  - lr_scheduler_type: linear
  - num_epochs: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.4845        | 1.0   | 1325  | 0.4270          | 0.8332           | 0.6701        | 0.7294          |
  | 0.3911        | 2.0   | 2650  | 0.4195          | 0.8358           | 0.6713        | 0.7313          |
  | 0.328         | 3.0   | 3975  | 0.4119          | 0.8355           | 0.6706        | 0.7304          |
  | 0.2783        | 4.0   | 5300  | 0.4160          | 0.8347           | 0.6678        | 0.7284          |
  | 0.2397        | 5.0   | 6625  | 0.4329          | 0.8411           | 0.6747        | 0.7351          |
  | 0.2155        | 6.0   | 7950  | 0.4389          | 0.8382           | 0.6716        | 0.7321          |
  | 0.1888        | 7.0   | 9275  | 0.4432          | 0.838            | 0.6718        | 0.7323          |
  | 0.1724        | 8.0   | 10600 | 0.4496          | 0.8381           | 0.6714        | 0.7319          |
  | 0.1586        | 9.0   | 11925 | 0.4575          | 0.8359           | 0.6704        | 0.7303          |
  | 0.1496        | 10.0  | 13250 | 0.4617          | 0.8361           | 0.6703        | 0.7304          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 1.18.4
  - Tokenizers 0.11.6
  