readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-paraphrasing-mlm-med-mask-filling-cm0
    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. -->
  
  # t5-small-paraphrasing-mlm-med-mask-filling-cm0
  
  This model is a fine-tuned version of [gayanin/t5-small-paraphrase-pubmed](https://huggingface.co/gayanin/t5-small-paraphrase-pubmed) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.6697
  - Rouge2 Precision: 0.6929
  - Rouge2 Recall: 0.4742
  - Rouge2 Fmeasure: 0.5443
  
  ## 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 |
  |:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.9213        | 1.0   | 13915  | 0.8075          | 0.6708           | 0.4603        | 0.5281          |
  | 0.8573        | 2.0   | 27830  | 0.7534          | 0.6802           | 0.4671        | 0.5356          |
  | 0.8127        | 3.0   | 41745  | 0.7254          | 0.684            | 0.468         | 0.5373          |
  | 0.7809        | 4.0   | 55660  | 0.7071          | 0.6867           | 0.4702        | 0.5397          |
  | 0.7651        | 5.0   | 69575  | 0.6939          | 0.6886           | 0.4711        | 0.5409          |
  | 0.7598        | 6.0   | 83490  | 0.6849          | 0.6904           | 0.4721        | 0.5422          |
  | 0.7429        | 7.0   | 97405  | 0.6778          | 0.6917           | 0.4725        | 0.5427          |
  | 0.7438        | 8.0   | 111320 | 0.6731          | 0.6917           | 0.4723        | 0.5426          |
  | 0.743         | 9.0   | 125235 | 0.6707          | 0.6935           | 0.4748        | 0.545           |
  | 0.7349        | 10.0  | 139150 | 0.6697          | 0.6929           | 0.4742        | 0.5443          |
  
  
  ### Framework versions
  
  - Transformers 4.21.1
  - Pytorch 1.12.1+cu113
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  