readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: t5-small-med-term-conditional-masking-0
    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-med-term-conditional-masking-0
  
  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: 0.6688
  - Rouge2 Precision: 0.694
  - Rouge2 Recall: 0.4781
  - Rouge2 Fmeasure: 0.5479
  
  ## 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 |
  |:-------------:|:-----:|:------:|:---------------:|:----------------:|:-------------:|:---------------:|
  | 0.9525        | 1.0   | 13915  | 0.8148          | 0.6657           | 0.4581        | 0.5252          |
  | 0.8541        | 2.0   | 27830  | 0.7562          | 0.6779           | 0.4694        | 0.5371          |
  | 0.8183        | 3.0   | 41745  | 0.7268          | 0.6827           | 0.4722        | 0.5405          |
  | 0.8033        | 4.0   | 55660  | 0.7074          | 0.6861           | 0.4729        | 0.5419          |
  | 0.7727        | 5.0   | 69575  | 0.6934          | 0.6872           | 0.4726        | 0.5419          |
  | 0.7704        | 6.0   | 83490  | 0.6832          | 0.6901           | 0.4742        | 0.544           |
  | 0.7485        | 7.0   | 97405  | 0.6771          | 0.6926           | 0.4772        | 0.5469          |
  | 0.7528        | 8.0   | 111320 | 0.6722          | 0.6934           | 0.4782        | 0.5478          |
  | 0.7535        | 9.0   | 125235 | 0.6696          | 0.6944           | 0.4782        | 0.5481          |
  | 0.7444        | 10.0  | 139150 | 0.6688          | 0.694            | 0.4781        | 0.5479          |
  
  
  ### Framework versions
  
  - Transformers 4.17.0
  - Pytorch 1.10.0+cu111
  - Datasets 2.0.0
  - Tokenizers 0.11.6
  