readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  model-index:
  - name: results
    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. -->
  
  # results
  
  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
  It achieves the following results on the evaluation set:
  - Loss: 0.2057
  - Rouge2 Precision: 0.3564
  - Rouge2 Recall: 0.2124
  - Rouge2 Fmeasure: 0.256
  
  ## 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: 5e-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: 5
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
  |:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
  | No log        | 1.0   | 240  | 0.3146          | 0.2121           | 0.1134        | 0.1424          |
  | No log        | 2.0   | 480  | 0.2444          | 0.2855           | 0.1519        | 0.19            |
  | 0.6451        | 3.0   | 720  | 0.2195          | 0.3225           | 0.1821        | 0.223           |
  | 0.6451        | 4.0   | 960  | 0.2078          | 0.355            | 0.2113        | 0.2548          |
  | 0.2978        | 5.0   | 1200 | 0.2057          | 0.3564           | 0.2124        | 0.256           |
  
  
  ### Framework versions
  
  - Transformers 4.26.0.dev0
  - Pytorch 1.12.1+cpu
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  