readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-paraphrase-pubmed
    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-paraphrase-pubmed
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.4032
  - Rouge2 Precision: 0.8281
  - Rouge2 Recall: 0.6346
  - Rouge2 Fmeasure: 0.6996
  
  ## 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: 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: 40
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step  | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
  |:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.5253        | 1.0   | 663   | 0.4895          | 0.8217           | 0.6309        | 0.695           |
  | 0.5385        | 2.0   | 1326  | 0.4719          | 0.822            | 0.6307        | 0.6953          |
  | 0.5255        | 3.0   | 1989  | 0.4579          | 0.8225           | 0.631         | 0.6954          |
  | 0.4927        | 4.0   | 2652  | 0.4510          | 0.824            | 0.6315        | 0.6965          |
  | 0.484         | 5.0   | 3315  | 0.4426          | 0.8254           | 0.6323        | 0.6974          |
  | 0.4691        | 6.0   | 3978  | 0.4383          | 0.8241           | 0.6311        | 0.6962          |
  | 0.4546        | 7.0   | 4641  | 0.4319          | 0.8248           | 0.6322        | 0.6969          |
  | 0.4431        | 8.0   | 5304  | 0.4270          | 0.8254           | 0.633         | 0.6977          |
  | 0.4548        | 9.0   | 5967  | 0.4257          | 0.8257           | 0.6322        | 0.6976          |
  | 0.4335        | 10.0  | 6630  | 0.4241          | 0.8271           | 0.6333        | 0.6986          |
  | 0.4234        | 11.0  | 7293  | 0.4203          | 0.827            | 0.6341        | 0.6992          |
  | 0.433         | 12.0  | 7956  | 0.4185          | 0.8279           | 0.6347        | 0.6998          |
  | 0.4108        | 13.0  | 8619  | 0.4161          | 0.8285           | 0.6352        | 0.7004          |
  | 0.4101        | 14.0  | 9282  | 0.4133          | 0.8289           | 0.6356        | 0.7008          |
  | 0.4155        | 15.0  | 9945  | 0.4149          | 0.8279           | 0.635         | 0.6998          |
  | 0.3991        | 16.0  | 10608 | 0.4124          | 0.8289           | 0.6353        | 0.7005          |
  | 0.3962        | 17.0  | 11271 | 0.4113          | 0.829            | 0.6353        | 0.7006          |
  | 0.3968        | 18.0  | 11934 | 0.4114          | 0.8285           | 0.6352        | 0.7002          |
  | 0.3962        | 19.0  | 12597 | 0.4100          | 0.8282           | 0.6346        | 0.6998          |
  | 0.3771        | 20.0  | 13260 | 0.4078          | 0.829            | 0.6352        | 0.7005          |
  | 0.3902        | 21.0  | 13923 | 0.4083          | 0.8295           | 0.6351        | 0.7006          |
  | 0.3811        | 22.0  | 14586 | 0.4077          | 0.8276           | 0.6346        | 0.6995          |
  | 0.38          | 23.0  | 15249 | 0.4076          | 0.8281           | 0.6346        | 0.6997          |
  | 0.3695        | 24.0  | 15912 | 0.4059          | 0.8277           | 0.6344        | 0.6993          |
  | 0.3665        | 25.0  | 16575 | 0.4043          | 0.8278           | 0.6343        | 0.6992          |
  | 0.3728        | 26.0  | 17238 | 0.4059          | 0.8279           | 0.6346        | 0.6994          |
  | 0.3669        | 27.0  | 17901 | 0.4048          | 0.8271           | 0.6342        | 0.6991          |
  | 0.3702        | 28.0  | 18564 | 0.4058          | 0.8265           | 0.6338        | 0.6985          |
  | 0.3674        | 29.0  | 19227 | 0.4049          | 0.8277           | 0.6345        | 0.6993          |
  | 0.364         | 30.0  | 19890 | 0.4048          | 0.8273           | 0.6341        | 0.699           |
  | 0.3618        | 31.0  | 20553 | 0.4041          | 0.828            | 0.6349        | 0.6997          |
  | 0.3609        | 32.0  | 21216 | 0.4040          | 0.8275           | 0.6346        | 0.6994          |
  | 0.357         | 33.0  | 21879 | 0.4037          | 0.8278           | 0.6348        | 0.6996          |
  | 0.3638        | 34.0  | 22542 | 0.4038          | 0.8275           | 0.634         | 0.6989          |
  | 0.3551        | 35.0  | 23205 | 0.4035          | 0.8275           | 0.6344        | 0.6992          |
  | 0