readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-finetuned-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-finetuned-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: 1.6131
  - Rouge2 Precision: 0.3
  - Rouge2 Recall: 0.2152
  - Rouge2 Fmeasure: 0.2379
  
  ## 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 2.1335        | 1.0   | 563  | 1.7632          | 0.2716           | 0.1936        | 0.2135          |
  | 1.9373        | 2.0   | 1126 | 1.7037          | 0.2839           | 0.2068        | 0.2265          |
  | 1.8827        | 3.0   | 1689 | 1.6723          | 0.2901           | 0.2118        | 0.2316          |
  | 1.8257        | 4.0   | 2252 | 1.6503          | 0.2938           | 0.2115        | 0.2332          |
  | 1.8152        | 5.0   | 2815 | 1.6386          | 0.2962           | 0.2139        | 0.2357          |
  | 1.7939        | 6.0   | 3378 | 1.6284          | 0.2976           | 0.212         | 0.2354          |
  | 1.7845        | 7.0   | 3941 | 1.6211          | 0.2991           | 0.2155        | 0.2383          |
  | 1.7468        | 8.0   | 4504 | 1.6167          | 0.2994           | 0.217         | 0.239           |
  | 1.7464        | 9.0   | 5067 | 1.6137          | 0.3007           | 0.2154        | 0.2382          |
  | 1.744         | 10.0  | 5630 | 1.6131          | 0.3              | 0.2152        | 0.2379          |
  
  
  ### Framework versions
  
  - Transformers 4.12.3
  - Pytorch 1.9.0+cu111
  - Datasets 1.15.1
  - Tokenizers 0.10.3
  